diff --git a/app.py b/app.py
index 60cc461..3418bcd 100644
--- a/app.py
+++ b/app.py
@@ -4,7 +4,6 @@
 
 import aws_cdk as cdk
 
-from infra.pipeline_product_stack import BatchPipelineStack, DeployPipelineStack
 from infra.service_catalog_stack import ServiceCatalogStack
 
 # Configure the logger
diff --git a/batch_pipeline/.gitignore b/batch_pipeline/.gitignore
new file mode 100644
index 0000000..1dec18d
--- /dev/null
+++ b/batch_pipeline/.gitignore
@@ -0,0 +1,31 @@
+.DS_Store
+*.swp
+package-lock.json
+__pycache__
+.pytest_cache
+.env
+.venv
+*.egg-info
+.vscode/
+
+# CDK asset staging directory
+.cdk.staging
+cdk.out
+dist/
+
+# Layers
+layers/python
+layers/*.zip
+
+# Notebooks
+.ipynb_checkpoints/
+
+# Sample events or assets
+events
+assets
+
+# project development env
+node_modules/*
+node_modules
+.vscode/*
+notes.txt
diff --git a/batch_pipeline/app.py b/batch_pipeline/app.py
index cddb427..f1a7185 100644
--- a/batch_pipeline/app.py
+++ b/batch_pipeline/app.py
@@ -4,14 +4,11 @@
 import logging
 import os
 
-# Import the pipeline
-from pipelines.pipeline import get_pipeline, upload_pipeline
+import aws_cdk as cdk
 
-from aws_cdk import core
 from infra.batch_config import BatchConfig
-from infra.sagemaker_pipeline_stack import SageMakerPipelineStack
 from infra.model_registry import ModelRegistry
-
+from infra.sagemaker_pipeline_stack import SageMakerPipelineStack
 
 # Configure the logger
 logger = logging.getLogger(__name__)
@@ -22,13 +19,11 @@
 
 
 def create_pipeline(
-    app: core.App,
+    app: cdk.App,
     project_name: str,
     project_id: str,
-    region: str,
     sagemaker_pipeline_role_arn: str,
     artifact_bucket: str,
-    evaluate_drift_function_arn: str,
     stage_name: str,
 ):
     # Get the stage specific deployment config for sagemaker
@@ -54,63 +49,17 @@ def create_pipeline(
         )[0]
         batch_config.model_package_arn = p["ModelPackageArn"]
 
-    # Set the default input data uri
-    data_uri = f"s3://{artifact_bucket}/{project_id}/batch/{stage_name}"
-
-    # set the output transform uri
-    transform_uri = f"s3://{artifact_bucket}/{project_id}/transform/{stage_name}"
-
-    # Get the pipeline execution to get the baseline uri
-    pipeline_execution_arn = registry.get_pipeline_execution_arn(
-        batch_config.model_package_arn
-    )
-    logger.info(f"Got pipeline exection arn: {pipeline_execution_arn}")
-    model_uri = registry.get_model_artifact(pipeline_execution_arn)
-    logger.info(f"Got model uri: {model_uri}")
-
-    # Set the sagemaker pipeline name and descrption with model version
+    # Set the sagemaker pipeline name and description with model version
     sagemaker_pipeline_name = f"{project_name}-batch-{stage_name}"
-    sagemaker_pipeline_description = f"Batch Pipeline for {stage_name} model version: {batch_config.model_package_version}"
-
-    # If we have drift configuration then get the baseline uri
-    baseline_uri = None
-    if batch_config.drift_config is not None:
-        baseline_uri = registry.get_data_check_baseline_uri(batch_config.model_package_arn)
-        logger.info(f"Got baseline uri: {baseline_uri}")
-
-    # Create batch pipeline
-    pipeline = get_pipeline(
-        region=region,
-        role=sagemaker_pipeline_role_arn,
-        pipeline_name=sagemaker_pipeline_name,
-        default_bucket=artifact_bucket,
-        base_job_prefix=project_id,
-        evaluate_drift_function_arn=evaluate_drift_function_arn,
-        data_uri=data_uri,
-        model_uri=model_uri,
-        transform_uri=transform_uri,
-        baseline_uri=baseline_uri,
-    )
-
-    # Create the pipeline definition
-    logger.info("Creating/updating a SageMaker Pipeline for batch transform")
-    pipeline_definition_body = pipeline.definition()
-    parsed = json.loads(pipeline_definition_body)
-    logger.info(json.dumps(parsed, indent=2, sort_keys=True))
-
-    # Upload the pipeline to S3 bucket/key and return JSON with key/value for for Cfn Stack parameters.
-    # see: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html
-    logger.info(f"Uploading {stage_name} pipeline to {artifact_bucket}")
-    pipeline_definition_key = upload_pipeline(
-        pipeline,
-        default_bucket=artifact_bucket,
-        base_job_prefix=f"{project_id}/batch-{stage_name}",
+    sagemaker_pipeline_description = (
+        f"Batch Pipeline for {stage_name} model version:"
+        f"{batch_config.model_package_version}"
     )
 
     tags = [
-        core.CfnTag(key="sagemaker:deployment-stage", value=stage_name),
-        core.CfnTag(key="sagemaker:project-id", value=project_id),
-        core.CfnTag(key="sagemaker:project-name", value=project_name),
+        cdk.CfnTag(key="sagemaker:deployment-stage", value=stage_name),
+        cdk.CfnTag(key="sagemaker:project-id", value=project_id),
+        cdk.CfnTag(key="sagemaker:project-name", value=project_name),
     ]
 
     SageMakerPipelineStack(
@@ -118,10 +67,10 @@ def create_pipeline(
         f"drift-batch-{stage_name}",
         pipeline_name=sagemaker_pipeline_name,
         pipeline_description=sagemaker_pipeline_description,
-        pipeline_definition_bucket=artifact_bucket,
-        pipeline_definition_key=pipeline_definition_key,
         sagemaker_role_arn=sagemaker_pipeline_role_arn,
+        default_bucket=artifact_bucket,
         tags=tags,
+        batch_config=batch_config,
         drift_config=batch_config.drift_config,
     )
 
@@ -132,19 +81,17 @@ def main(
     region: str,
     sagemaker_pipeline_role_arn: str,
     artifact_bucket: str,
-    evaluate_drift_function_arn: str,
+    # evaluate_drift_function_arn: str,
 ):
     # Create App and stacks
-    app = core.App()
+    app = cdk.App()
 
     create_pipeline(
         app=app,
         project_name=project_name,
         project_id=project_id,
-        region=region,
         sagemaker_pipeline_role_arn=sagemaker_pipeline_role_arn,
         artifact_bucket=artifact_bucket,
-        evaluate_drift_function_arn=evaluate_drift_function_arn,
         stage_name="staging",
     )
 
@@ -152,10 +99,8 @@ def main(
         app=app,
         project_name=project_name,
         project_id=project_id,
-        region=region,
         sagemaker_pipeline_role_arn=sagemaker_pipeline_role_arn,
         artifact_bucket=artifact_bucket,
-        evaluate_drift_function_arn=evaluate_drift_function_arn,
         stage_name="prod",
     )
 
@@ -174,10 +119,10 @@ def main(
         "--sagemaker-pipeline-role-arn",
         default=os.environ.get("SAGEMAKER_PIPELINE_ROLE_ARN"),
     )
-    parser.add_argument(
-        "--evaluate-drift-function-arn",
-        default=os.environ.get("EVALUATE_DRIFT_FUNCTION_ARN"),
-    )
+    # parser.add_argument(
+    #     "--evaluate-drift-function-arn",
+    #     default=os.environ.get("EVALUATE_DRIFT_FUNCTION_ARN"),
+    # )
     parser.add_argument(
         "--artifact-bucket",
         default=os.environ.get("ARTIFACT_BUCKET"),
diff --git a/batch_pipeline/buildspec.yml b/batch_pipeline/buildspec.yml
index 2761b88..b3541f4 100644
--- a/batch_pipeline/buildspec.yml
+++ b/batch_pipeline/buildspec.yml
@@ -5,7 +5,7 @@ phases:
       nodejs: "16"
       python: "3.9"
     commands:
-      - npm install aws-cdk@2.46.0
+      - npm install aws-cdk@2.72.1
       - npm update
       - python -m pip install --upgrade pip
       - python -m pip install -r requirements.txt
diff --git a/batch_pipeline/cdk.json b/batch_pipeline/cdk.json
index 90e5f6e..ddbb4d5 100644
--- a/batch_pipeline/cdk.json
+++ b/batch_pipeline/cdk.json
@@ -1,13 +1,5 @@
 {
-    "app": "python3 app.py",
-    "context": {
-      "@aws-cdk/core:enableStackNameDuplicates": "true",
-      "aws-cdk:enableDiffNoFail": "true",
-      "@aws-cdk/core:stackRelativeExports": "true",
-      "@aws-cdk/aws-ecr-assets:dockerIgnoreSupport": true,
-      "@aws-cdk/aws-secretsmanager:parseOwnedSecretName": true,
-      "@aws-cdk/aws-kms:defaultKeyPolicies": true,
-      "@aws-cdk/aws-s3:grantWriteWithoutAcl": true
-    }
-  }
-  
\ No newline at end of file
+  "app": "python3 app.py",
+  "context": {},
+  "versionReporting": false
+}
\ No newline at end of file
diff --git a/batch_pipeline/infra/batch_config.py b/batch_pipeline/infra/batch_config.py
index e636558..380e8aa 100644
--- a/batch_pipeline/infra/batch_config.py
+++ b/batch_pipeline/infra/batch_config.py
@@ -35,7 +35,7 @@ def __init__(
         self.model_package_version = model_package_version
         self.model_package_arn = model_package_arn
         self.model_monitor_enabled = model_monitor_enabled
-        if type(drift_config) is dict:
+        if isinstance(drift_config, dict):
             self.drift_config = DriftConfig(**drift_config)
         else:
             self.drift_config = None
diff --git a/batch_pipeline/infra/model_registry.py b/batch_pipeline/infra/model_registry.py
index 919e532..b0df616 100644
--- a/batch_pipeline/infra/model_registry.py
+++ b/batch_pipeline/infra/model_registry.py
@@ -33,7 +33,7 @@ def create_model_package_group(
                 ModelPackageGroupDescription=description,
             )
             model_package_group_arn = response["ModelPackageGroupArn"]
-            # Add tags seperately
+            # Add tags separately
             self.sm_client.add_tags(
                 ResourceArn=model_package_group_arn,
                 Tags=[
@@ -84,7 +84,7 @@ def get_latest_approved_packages(
                 "SortBy": "CreationTime",
                 "MaxResults": max_results,
             }
-            # Add optional creationg time after
+            # Add optional creation time after
             if creation_time_after is not None:
                 args = {**args, "CreationTimeAfter": creation_time_after}
             response = self.sm_client.list_model_packages(**args)
@@ -165,7 +165,10 @@ def get_versioned_approved_packages(
 
             # Return error if no packages found
             if len(model_packages) == 0:
-                error_message = f"No approved packages found for: {model_package_group_name} and versions: {model_package_versions}"
+                error_message = (
+                    "No approved packages found for: "
+                    f"{model_package_group_name} and versions: {model_package_versions}"
+                )
                 logger.error(error_message)
                 raise Exception(error_message)
 
@@ -182,7 +185,7 @@ def get_versioned_approved_packages(
     def select_versioned_packages(
         self, model_packages: list, model_package_versions: list
     ):
-        """Filters the model packages based on a list of model package verisons.
+        """Filters the model packages based on a list of model package versions.
 
         Args:
             model_packages: The list of packages.
@@ -199,61 +202,3 @@ def select_versioned_packages(
                 p for p in model_packages if p["ModelPackageVersion"] == version
             ]
         return filtered_packages
-
-    def get_pipeline_execution_arn(self, model_package_arn: str):
-        """Geturns the execution arn for the latest approved model package
-
-        Args:
-            model_package_arn: The arn of the model package
-
-        Returns:
-            The arn of the sagemaker pipeline that created the model package.
-        """
-
-        artifact_arn = self.sm_client.list_artifacts(SourceUri=model_package_arn)[
-            "ArtifactSummaries"
-        ][0]["ArtifactArn"]
-        return self.sm_client.describe_artifact(ArtifactArn=artifact_arn)[
-            "MetadataProperties"
-        ]["GeneratedBy"]
-
-    def get_model_artifact(
-        self,
-        pipeline_execution_arn: str,
-        step_name: str = "TrainModel",
-    ):
-        """Returns the training job model artifact uri for a given step name.
-
-        Args:
-            pipeline_execution_arn: The pipeline execution arn
-            step_name: The optional training job step name
-
-        Returns:
-            The model artifact from the training job
-        """
-
-        steps = self.sm_client.list_pipeline_execution_steps(
-            PipelineExecutionArn=pipeline_execution_arn
-        )["PipelineExecutionSteps"]
-        training_job_arn = [
-            s["Metadata"]["TrainingJob"]["Arn"]
-            for s in steps
-            if s["StepName"] == step_name
-        ][0]
-        training_job_name = training_job_arn.split("/")[-1]
-        outputs = self.sm_client.describe_training_job(
-            TrainingJobName=training_job_name
-        )
-        return outputs["ModelArtifacts"]["S3ModelArtifacts"]
-
-    def get_data_check_baseline_uri(self, model_package_arn: str):
-        try:
-            model_details = self.sm_client.describe_model_package(ModelPackageName=model_package_arn)
-            print(model_details)
-            baseline_uri = model_details['DriftCheckBaselines']['ModelDataQuality']['Constraints']['S3Uri']
-            baseline_uri = baseline_uri.replace('/constraints.json','') # returning the folder containing constraints and statistics
-            return baseline_uri
-        except ClientError as e:
-            error_message = e.response["Error"]["Message"]
-            logger.error(error_message)
-            raise Exception(error_message)
\ No newline at end of file
diff --git a/batch_pipeline/infra/sagemaker_pipeline_stack.py b/batch_pipeline/infra/sagemaker_pipeline_stack.py
index dfcd146..f99b07f 100644
--- a/batch_pipeline/infra/sagemaker_pipeline_stack.py
+++ b/batch_pipeline/infra/sagemaker_pipeline_stack.py
@@ -1,15 +1,13 @@
-from aws_cdk import (
-    core,
-    aws_cloudwatch as cloudwatch,
-    aws_events as events,
-    aws_iam as iam,
-    aws_sagemaker as sagemaker,
-)
-
 import logging
-import os
-from urllib.parse import urlparse
-from batch_config import DriftConfig
+
+import aws_cdk as cdk
+from aws_cdk import aws_cloudwatch as cloudwatch
+from aws_cdk import aws_sagemaker as sagemaker
+from constructs import Construct
+from pipelines.pipeline import get_pipeline
+
+
+from infra.batch_config import DriftConfig, BatchConfig
 
 logger = logging.getLogger(__name__)
 
@@ -17,33 +15,49 @@
 # see: https://docs.aws.amazon.com/cdk/api/latest/python/aws_cdk.aws_sagemaker/CfnPipeline.html
 
 
-class SageMakerPipelineStack(core.Stack):
+class SageMakerPipelineStack(cdk.Stack):
     def __init__(
         self,
-        scope: core.Construct,
+        scope: Construct,
         construct_id: str,
         pipeline_name: str,
         pipeline_description: str,
-        pipeline_definition_bucket: str,
-        pipeline_definition_key: str,
         sagemaker_role_arn: str,
+        default_bucket: str,
         tags: list,
+        batch_config: BatchConfig,
         drift_config: DriftConfig,
         **kwargs,
     ) -> None:
         super().__init__(scope, construct_id, **kwargs)
 
+        # Do not use a custom named resource for models as these get replaced
+        model = sagemaker.CfnModel(
+            self,
+            "Model",
+            execution_role_arn=sagemaker_role_arn,
+            primary_container=sagemaker.CfnModel.ContainerDefinitionProperty(
+                model_package_name=batch_config.model_package_arn,
+            ),
+            model_name=f"{batch_config.model_package_arn.split('/', 1)[1].replace('/', '-')}-{batch_config.stage_name}",
+        )
+
+        pipeline_definition = get_pipeline(
+            role=sagemaker_role_arn,
+            pipeline_name=pipeline_name,
+            default_bucket=default_bucket,
+            model_package_arn=batch_config.model_package_arn,
+            default_model_name=model.model_name,
+        ).definition()
+
+        print(model.model_name)
+
         sagemaker.CfnPipeline(
             self,
             "Pipeline",
             pipeline_name=pipeline_name,
             pipeline_description=pipeline_description,
-            pipeline_definition={
-                "PipelineDefinitionS3Location": {
-                    "Bucket": pipeline_definition_bucket,
-                    "Key": pipeline_definition_key,
-                }
-            },
+            pipeline_definition={"PipelineDefinitionBody": pipeline_definition},
             role_arn=sagemaker_role_arn,
             tags=tags,
         )
@@ -51,22 +65,23 @@ def __init__(
         if drift_config is not None:
             # Create a CW alarm (which will be picked up by build pipeline)
             alarm_name = f"sagemaker-{pipeline_name}-threshold"
-            cloudwatch.CfnAlarm(
+
+            drift_metric = cloudwatch.Metric(
+                metric_name=drift_config.metric_name,
+                namespace="aws/sagemaker/ModelBuildingPipeline/data-metrics",
+                dimensions_map={"PipelineName": pipeline_name},
+                statistic=cloudwatch.Stats.AVERAGE,
+                period=cdk.Duration.minutes(drift_config.period),
+            )
+
+            cloudwatch.Alarm(
                 self,
                 "DriftAlarm",
                 alarm_name=alarm_name,
-                alarm_description=f"Batch Drift Threshold",
-                metric_name=drift_config.metric_name,
+                alarm_description="Batch Drift Threshold",
+                metric=drift_metric,
+                comparison_operator=cloudwatch.ComparisonOperator.GREATER_THAN_THRESHOLD,
                 threshold=drift_config.metric_threshold,
-                namespace="aws/sagemaker/ModelBuildingPipeline/data-metrics",
-                comparison_operator=drift_config.comparison_operator,
-                dimensions=[
-                    cloudwatch.CfnAlarm.DimensionProperty(
-                        name="PipelineName", value=pipeline_name
-                    ),
-                ],
                 evaluation_periods=drift_config.evaluation_periods,
-                period=drift_config.period,
                 datapoints_to_alarm=drift_config.datapoints_to_alarm,
-                statistic=drift_config.statistic,
             )
diff --git a/batch_pipeline/pipelines/pipeline.py b/batch_pipeline/pipelines/pipeline.py
index 73da449..ff054a9 100644
--- a/batch_pipeline/pipelines/pipeline.py
+++ b/batch_pipeline/pipelines/pipeline.py
@@ -7,117 +7,45 @@
 
 Implements a get_pipeline(**kwargs) method.
 """
-import json
 import os
 
-import boto3
-import sagemaker
-import sagemaker.session
-
-from sagemaker.inputs import CreateModelInput
-from sagemaker.model import Model
 from sagemaker.model_monitor.dataset_format import DatasetFormat
-from sagemaker.processing import (
-    ProcessingInput,
-    ProcessingOutput,
-    Processor,
-    ScriptProcessor,
-)
 from sagemaker.s3 import S3Uploader
-from sagemaker.workflow.lambda_step import (
-    LambdaStep,
-    LambdaOutput,
-    LambdaOutputTypeEnum,
-)
-from sagemaker.lambda_helper import Lambda
+from sagemaker.transformer import Transformer
+from sagemaker.utils import name_from_base
+from sagemaker.workflow.check_job_config import CheckJobConfig
+from sagemaker.workflow.execution_variables import ExecutionVariables
+from sagemaker.workflow.functions import Join
+from sagemaker.workflow.monitor_batch_transform_step import MonitorBatchTransformStep
 from sagemaker.workflow.parameters import (
+    ParameterBoolean,
     ParameterInteger,
     ParameterString,
 )
 from sagemaker.workflow.pipeline import Pipeline
-from sagemaker.workflow.steps import (
-    CreateModelStep,
-    ProcessingStep,
-    CacheConfig,
-)
-from sagemaker.workflow.quality_check_step import (
-    DataQualityCheckConfig,
-    ModelQualityCheckConfig,
-    QualityCheckStep,
-)
-from sagemaker.drift_check_baselines import DriftCheckBaselines
-from sagemaker.workflow.check_job_config import CheckJobConfig
-from sagemaker.workflow.step_collections import RegisterModel
-from sagemaker.workflow.functions import Join
-from sagemaker.workflow.execution_variables import ExecutionVariables
-from sagemaker.utils import name_from_base
-
+from sagemaker.workflow.pipeline_context import PipelineSession
+from sagemaker.workflow.quality_check_step import DataQualityCheckConfig
+from sagemaker.workflow.steps import CacheConfig
 
 BASE_DIR = os.path.dirname(os.path.realpath(__file__))
 
 
-def get_session(region, default_bucket):
-    """Gets the sagemaker session based on the region.
-    Args:
-        region: the aws region to start the session
-        default_bucket: the bucket to use for storing the artifacts
-    Returns:
-        `sagemaker.session.Session instance
-    """
-
-    boto_session = boto3.Session(region_name=region)
-
-    sagemaker_client = boto_session.client("sagemaker")
-    runtime_client = boto_session.client("sagemaker-runtime")
-    return sagemaker.session.Session(
-        boto_session=boto_session,
-        sagemaker_client=sagemaker_client,
-        sagemaker_runtime_client=runtime_client,
-        default_bucket=default_bucket,
-    )
-
-
 def get_pipeline(
-    region: str,
     role: str,
     pipeline_name: str,
     default_bucket: str,
-    base_job_prefix: str,
-    evaluate_drift_function_arn: str,
-    data_uri: str,
-    model_uri: str,
-    transform_uri: str,
-    baseline_uri: str = None,
+    model_package_arn: str,
+    data_uri: str = None,
+    default_model_name: str = None,
 ) -> Pipeline:
-    """Gets a SageMaker ML Pipeline instance working with on nyc taxi data.
-    Args:
-        region: AWS region to create and run the pipeline.
-        role: IAM role to create and run steps and pipeline.
-        pipeline_name: the bucket to use for storing the artifacts
-        default_bucket: the bucket to use for storing the artifacts
-        base_job_prefix: the prefix to include after the bucket
-        data_uri: the input data location
-        model_uri: the input model location
-        transform_uri: the output transform uri location
-        baseline_uri: optional input baseline uri for drift detection
-    Returns:
-        an instance of a pipeline
-    """
-    sagemaker_session = get_session(region, default_bucket)
+    """Gets a SageMaker ML Pipeline instance."""
+    sagemaker_session = PipelineSession()
 
-    # parameters for pipeline execution
+    # Parameters
     input_data_uri = ParameterString(
         name="DataInputUri",
         default_value=data_uri,
     )
-    input_model_uri = ParameterString(
-        name="ModelInputUri",
-        default_value=model_uri,
-    )
-    output_transform_uri = ParameterString(
-        name="TransformOutputUri",
-        default_value=transform_uri,
-    )
     transform_instance_count = ParameterInteger(
         name="TransformInstanceCount", default_value=1
     )
@@ -130,133 +58,95 @@ def get_pipeline(
     monitor_instance_type = ParameterString(
         name="MonitorInstanceType", default_value="ml.m5.xlarge"
     )
-
-    # Create cache configuration (Unable to pass parameter for expire_after value)
+    stop_if_check_fails = ParameterBoolean(name="StopIfCheckFails", default_value=False)
+    model_name = ParameterString(name="ModelName", default_value=default_model_name)
+
+    parameters = [
+        model_name,
+        input_data_uri,
+        transform_instance_count,
+        transform_instance_type,
+        monitor_instance_count,
+        monitor_instance_type,
+        stop_if_check_fails,
+    ]
+
+    output_common_path = [
+        "s3:/",
+        default_bucket,
+        "batch-transform-runs",
+        Join(
+            on="-",
+            values=[
+                ExecutionVariables.START_DATETIME,
+                ExecutionVariables.PIPELINE_EXECUTION_ID,
+            ],
+        ),
+    ]
+
+    model_package_group_name = model_package_arn.split("/", -1)[-2]
+
+    # Cache configuration (Unable to pass parameter for expire_after value)
     cache_config = CacheConfig(enable_caching=True, expire_after="PT1H")
 
-    # Create the Model step
-    image_uri_inference = sagemaker.image_uris.retrieve(
-        framework="xgboost",
-        region=region,
-        version="1.2-2",
-        py_version="py3",
-        instance_type=transform_instance_type,
-    )
-
-    model = Model(
-        image_uri=image_uri_inference,
-        model_data=input_model_uri,
-        sagemaker_session=sagemaker_session,
+    # Data Quality Check configuration
+    check_job_config = CheckJobConfig(
         role=role,
+        instance_count=monitor_instance_count,
+        instance_type=monitor_instance_type,
     )
-
-    inputs_model = CreateModelInput(instance_type=transform_instance_type)
-
-    step_create_model = CreateModelStep(
-        name="CreateModel", model=model, inputs=inputs_model
+    data_quality_config = DataQualityCheckConfig(
+        baseline_dataset=input_data_uri,
+        dataset_format=DatasetFormat.csv(header=False),
+        output_s3_uri=Join(
+            on="/",
+            values=output_common_path + ["dataqualitycheck"],
+        ),
+        post_analytics_processor_script="pipelines/postprocess_monitor_script.py",
     )
 
-    # processing step for evaluation
-    script_eval = ScriptProcessor(
-        image_uri=image_uri_inference,
-        command=["python3"],
+    # Transform Step arguments
+    transformer = Transformer(
+        model_name=model_name,
         instance_count=transform_instance_count,
         instance_type=transform_instance_type,
-        base_job_name=f"{base_job_prefix}/script-score",
+        accept="text/csv",
+        assemble_with="Line",
+        output_path=Join(
+            on="/",
+            values=output_common_path + ["transformed"],
+        ),
         sagemaker_session=sagemaker_session,
-        role=role,
     )
 
-    step_score = ProcessingStep(
-        name="ScoreModel",
-        processor=script_eval,
-        inputs=[
-            ProcessingInput(
-                source=input_model_uri,
-                destination="/opt/ml/processing/model",
-            ),
-            ProcessingInput(
-                source=input_data_uri,
-                destination="/opt/ml/processing/input",
-            ),
-        ],
-        outputs=[
-            ProcessingOutput(output_name="scores", source="/opt/ml/processing/output"),
-        ],
-        code=os.path.join(BASE_DIR, "score.py"),
-        cache_config=cache_config,
+    transform_arg = transformer.transform(
+        input_data_uri,
+        content_type="text/csv",
+        split_type="Line",
+        # exclude the ground truth (first column) from the validation set
+        # when doing inference.
+        input_filter="$[1:]",
     )
-    step_score.add_depends_on([step_create_model])
-
-    steps = [step_create_model, step_score]
-
-    if baseline_uri is not None:        
-        check_job_config = CheckJobConfig(
-            role=role,
-            instance_count=monitor_instance_count,
-            instance_type=monitor_instance_type,
-            sagemaker_session=sagemaker_session,
-            base_job_name=f"{base_job_prefix}/monitoring",
-            env = {
-                "PipelineName": pipeline_name,
-                "Region": region,
-            }
-        )
-
-        data_quality_check_config = DataQualityCheckConfig(
-            baseline_dataset=step_score.properties.ProcessingOutputConfig.Outputs["scores"].S3Output.S3Uri,
-            dataset_format=DatasetFormat.csv(header=True),
-            output_s3_uri=Join(
-                on="/",
-                values=[
-                    "s3:/",
-                    default_bucket,
-                    base_job_prefix,
-                    ExecutionVariables.PIPELINE_EXECUTION_ID,
-                    "dataqualitycheckstep",
-                ],
-            ),
-            post_analytics_processor_script='pipelines/postprocess_monitor_script.py',
-        )
-
-        step_monitor = QualityCheckStep(
-            name="ModelMonitor",
-            skip_check=False,
-            register_new_baseline=False,
-            quality_check_config=data_quality_check_config,
-            check_job_config=check_job_config,
-            supplied_baseline_statistics=os.path.join(baseline_uri, "statistics.json"),
-            supplied_baseline_constraints=os.path.join(baseline_uri, "constraints.json"),
-            cache_config=cache_config,
-        )
 
-        steps += [step_monitor]
+    transform_and_monitor_step = MonitorBatchTransformStep(
+        name="MonitorDataQuality",
+        transform_step_args=transform_arg,
+        monitor_configuration=data_quality_config,
+        check_job_configuration=check_job_config,
+        monitor_before_transform=True,
+        fail_on_violation=stop_if_check_fails,
+    )
+    transform_and_monitor_step.steps[
+        1
+    ].model_package_group_name = model_package_group_name
+    for step in transform_and_monitor_step.steps:
+        step.cache_config = cache_config
 
-    # pipeline instance
-    pipeline = Pipeline(
+    return Pipeline(
         name=pipeline_name,
-        parameters=[
-            input_data_uri,
-            input_model_uri,
-            output_transform_uri,
-            transform_instance_count,
-            transform_instance_type,
-            monitor_instance_count,
-            monitor_instance_type,
+        parameters=parameters,
+        steps=[
+            transform_and_monitor_step,
         ],
-        steps=steps,
         sagemaker_session=sagemaker_session,
     )
-
-    return pipeline
-
-
-def upload_pipeline(pipeline: Pipeline, default_bucket, base_job_prefix) -> str:
-    # Get the pipeline definition
-    pipeline_definition_body = pipeline.definition()
-    # Upload the pipeline to a unique location in s3 based on git commit and timestamp
-    pipeline_key = f"{name_from_base(base_job_prefix)}/pipeline.json"
-    S3Uploader.upload_string_as_file_body(
-        pipeline_definition_body, f"s3://{default_bucket}/{pipeline_key}"
-    )
-    return pipeline_key
diff --git a/batch_pipeline/pipelines/postprocess_monitor_script.py b/batch_pipeline/pipelines/postprocess_monitor_script.py
index 8c00839..2c05e86 100644
--- a/batch_pipeline/pipelines/postprocess_monitor_script.py
+++ b/batch_pipeline/pipelines/postprocess_monitor_script.py
@@ -1,22 +1,24 @@
-import os
 import json
+import logging
+import os
 import re
 import subprocess
 import sys
-import logging
 from datetime import datetime
 
+
 def install(package):
     subprocess.check_call([sys.executable, "-m", "pip", "install", package])
 
-install('boto3')
-import boto3
+
+install("boto3")
+import boto3  # noqa: E402
 
 LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO").upper()
 logger = logging.getLogger()
 logger.setLevel(LOG_LEVEL)
-region = os.environ.get('Region', 'NoAWSRegionFound')
-pipeline_name = os.environ.get('PipelineName', 'NoPipelineNameFound')
+region = os.environ.get("AWS_REGION", "NoAWSRegionFound")
+pipeline_name = os.environ.get("PipelineName", "NoPipelineNameFound")
 
 cloudwatch = boto3.client("cloudwatch", region)
 
@@ -34,7 +36,7 @@ def get_baseline_drift(feature):
                         "metric_threshold": float(matches.group(2)),
                     }
 
-                    
+
 def put_cloudwatch_metric(pipeline_name: str, metrics: list):
     for m in metrics:
         logger.info(f'Putting metric: {m["metric_name"]} value: {m["metric_value"]}')
@@ -52,15 +54,15 @@ def put_cloudwatch_metric(pipeline_name: str, metrics: list):
         )
         logger.debug(response)
 
-        
+
 def postprocess_handler():
     violations_file = "/opt/ml/processing/output/constraint_violations.json"
     if os.path.isfile(violations_file):
         f = open(violations_file)
         violations = json.load(f)
         metrics = list(get_baseline_drift(violations))
-        
+
         put_cloudwatch_metric(pipeline_name, metrics)
         logger.info("Violation detected and added to cloudwatch")
-    else: 
+    else:
         logger.info("No constraint_violations file found. All good!")
diff --git a/batch_pipeline/pipelines/score.py b/batch_pipeline/pipelines/score.py
index 178169b..ff9cffc 100644
--- a/batch_pipeline/pipelines/score.py
+++ b/batch_pipeline/pipelines/score.py
@@ -1,10 +1,9 @@
 """Evaluation script for measuring mean squared error."""
+import glob
 import logging
 import pathlib
-import glob
 import pickle
 import tarfile
-from math import sqrt
 
 import pandas as pd
 import xgboost
diff --git a/batch_pipeline/poetry.lock b/batch_pipeline/poetry.lock
new file mode 100644
index 0000000..5b53bbc
--- /dev/null
+++ b/batch_pipeline/poetry.lock
@@ -0,0 +1,934 @@
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+
+[[package]]
+name = "attrs"
+version = "22.2.0"
+description = "Classes Without Boilerplate"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "aws-cdk-asset-awscli-v1"
+version = "2.2.127"
+description = "A library that contains the AWS CLI for use in Lambda Layers"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-awscli-v1-2.2.127.tar.gz", hash = "sha256:57898d3a4e90f2667bda238bbde20defe11a989d4a939c0f1e8d5379ee6432ec"},
+    {file = "aws_cdk.asset_awscli_v1-2.2.127-py3-none-any.whl", hash = "sha256:85a0729d61b0734fd9626564ef87fb56e18249a3f8de0e4ca648d5629397f3d4"},
+]
+
+[package.dependencies]
+jsii = ">=1.79.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "aws-cdk-asset-kubectl-v20"
+version = "2.1.1"
+description = "A library that contains kubectl for use in Lambda Layers"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-kubectl-v20-2.1.1.tar.gz", hash = "sha256:9834cdb150c5590aea4e5eba6de2a89b4c60617451181c524810c5a75154565c"},
+    {file = "aws_cdk.asset_kubectl_v20-2.1.1-py3-none-any.whl", hash = "sha256:a2fad1a5a35a94a465efe60859f91e45dacc33261fb9bbf1cf9bbc6e2f70e9d6"},
+]
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+[package.dependencies]
+jsii = ">=1.70.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "aws-cdk-asset-node-proxy-agent-v5"
+version = "2.0.104"
+description = "@aws-cdk/asset-node-proxy-agent-v5"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-node-proxy-agent-v5-2.0.104.tar.gz", hash = "sha256:591ef90bd0fd9cedd72f9a2a93ed4db32dcc634ab6497cc5fa075846911b321c"},
+    {file = "aws_cdk.asset_node_proxy_agent_v5-2.0.104-py3-none-any.whl", hash = "sha256:18cf87249ba078f242142701abea4a6711421a6cc0c12245cd3706a714764f8b"},
+]
+
+[package.dependencies]
+jsii = ">=1.79.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "aws-cdk-lib"
+version = "2.72.1"
+description = "Version 2 of the AWS Cloud Development Kit library"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk-lib-2.72.1.tar.gz", hash = "sha256:a0aeaf0e0d0dcc36fe52a1df09708028a8f71f54116bc3f2afec546b0d90c256"},
+    {file = "aws_cdk_lib-2.72.1-py3-none-any.whl", hash = "sha256:0d7001b0f507dcd435c6c20688e61d6c45c297e54bae2bf36256e10520668a8a"},
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+constructs = ">=10.0.0,<11.0.0"
+jsii = ">=1.78.1,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "black"
+version = "23.3.0"
+description = "The uncompromising code formatter."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
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+mypy-extensions = ">=0.4.3"
+packaging = ">=22.0"
+pathspec = ">=0.9.0"
+platformdirs = ">=2"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+
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+colorama = ["colorama (>=0.4.3)"]
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+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
+uvloop = ["uvloop (>=0.15.2)"]
+
+[[package]]
+name = "boto3"
+version = "1.26.142"
+description = "The AWS SDK for Python"
+category = "main"
+optional = false
+python-versions = ">= 3.7"
+files = [
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+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+
+[[package]]
+name = "click"
+version = "8.1.3"
+description = "Composable command line interface toolkit"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
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+optional = false
+python-versions = ">= 3.7"
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+
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+python-versions = "*"
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+optional = false
+python-versions = ">=2.7"
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+optional = false
+python-versions = ">=3.7"
+files = [
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+[[package]]
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+version = "2.13.3"
+description = "Run-time type checker for Python"
+category = "main"
+optional = false
+python-versions = ">=3.5.3"
+files = [
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+
+[[package]]
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+description = "Backported and Experimental Type Hints for Python 3.7+"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
+[[package]]
+name = "urllib3"
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+description = "HTTP library with thread-safe connection pooling, file post, and more."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
+    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
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+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
+
+[[package]]
+name = "zipp"
+version = "3.15.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.9"
+content-hash = "59b08fa03a9d8f33b09667b1c30f8cedc955af19acb2de25fd6bcdf9ef53a6ad"
diff --git a/batch_pipeline/prod-config.json b/batch_pipeline/prod-config.json
index 566b7dc..8b515ca 100644
--- a/batch_pipeline/prod-config.json
+++ b/batch_pipeline/prod-config.json
@@ -5,6 +5,6 @@
     "drift_config": {
         "metric_name": "feature_baseline_drift_fare_amount",
         "metric_threshold": 0.4,
-        "period": 3600
+        "period": 60
     }
 }
\ No newline at end of file
diff --git a/batch_pipeline/pyproject.toml b/batch_pipeline/pyproject.toml
new file mode 100644
index 0000000..c34c6eb
--- /dev/null
+++ b/batch_pipeline/pyproject.toml
@@ -0,0 +1,23 @@
+[tool.poetry]
+name = "sagemaker-driftdemobatch-batch"
+version = "0.1.0"
+description = ""
+authors = ["Your Name <you@example.com>"]
+readme = "README.md"
+packages = [{include = "sagemaker_driftdemobatch_batch"}]
+
+[tool.poetry.dependencies]
+python = "^3.9"
+constructs = "^10.1.300"
+aws-cdk-lib = "^2.72.1"
+boto3 = "^1.26.104"
+sagemaker = "^2.143.0"
+
+
+[tool.poetry.group.dev.dependencies]
+black = "^23.3.0"
+boto3 = "^1.26.142"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/batch_pipeline/requirements.txt b/batch_pipeline/requirements.txt
index d6e1198..28eb9b9 100644
--- a/batch_pipeline/requirements.txt
+++ b/batch_pipeline/requirements.txt
@@ -1 +1,42 @@
--e .
+attrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-awscli-v1==2.2.127 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-kubectl-v20==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-node-proxy-agent-v5==2.0.104 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-lib==2.72.1 ; python_version >= "3.9" and python_version < "4.0"
+boto3==1.26.104 ; python_version >= "3.9" and python_version < "4.0"
+botocore==1.29.104 ; python_version >= "3.9" and python_version < "4.0"
+cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
+constructs==10.1.300 ; python_version >= "3.9" and python_version < "4.0"
+contextlib2==21.6.0 ; python_version >= "3.9" and python_version < "4.0"
+dill==0.3.6 ; python_version >= "3.9" and python_version < "4.0"
+exceptiongroup==1.1.1 ; python_version >= "3.9" and python_version < "3.11"
+google-pasta==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
+importlib-metadata==4.13.0 ; python_version >= "3.9" and python_version < "4.0"
+importlib-resources==5.12.0 ; python_version >= "3.9" and python_version < "4.0"
+jmespath==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
+jsii==1.79.0 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema==4.17.3 ; python_version >= "3.9" and python_version < "4.0"
+multiprocess==0.70.14 ; python_version >= "3.9" and python_version < "4.0"
+numpy==1.24.2 ; python_version < "4.0" and python_version >= "3.9"
+packaging==23.0 ; python_version >= "3.9" and python_version < "4.0"
+pandas==1.5.3 ; python_version >= "3.9" and python_version < "4.0"
+pathos==0.3.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==3.2.0 ; python_version >= "3.9" and python_version < "4.0"
+pox==0.3.2 ; python_version >= "3.9" and python_version < "4.0"
+ppft==1.7.6.6 ; python_version >= "3.9" and python_version < "4.0"
+protobuf3-to-dict==0.1.5 ; python_version >= "3.9" and python_version < "4.0"
+protobuf==3.20.3 ; python_version >= "3.9" and python_version < "4.0"
+publication==0.0.3 ; python_version >= "3.9" and python_version < "4.0"
+pyrsistent==0.19.3 ; python_version >= "3.9" and python_version < "4.0"
+python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
+pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+pyyaml==5.4.1 ; python_version >= "3.9" and python_version < "4.0"
+s3transfer==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
+sagemaker==2.143.0 ; python_version >= "3.9" and python_version < "4.0"
+schema==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
+six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+smdebug-rulesconfig==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
+typeguard==2.13.3 ; python_version >= "3.9" and python_version < "4.0"
+typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==1.26.15 ; python_version >= "3.9" and python_version < "4.0"
+zipp==3.15.0 ; python_version >= "3.9" and python_version < "4.0"
diff --git a/build_pipeline/.gitignore b/build_pipeline/.gitignore
index d96dae6..941c482 100644
--- a/build_pipeline/.gitignore
+++ b/build_pipeline/.gitignore
@@ -4,6 +4,8 @@ __pycache__
 .pytest_cache
 .venv
 *.egg-info
+*.zip
+*.csv
 
 # CDK asset staging directory
 .cdk.staging
diff --git a/build_pipeline/app.py b/build_pipeline/app.py
index 06007c2..4f47e82 100644
--- a/build_pipeline/app.py
+++ b/build_pipeline/app.py
@@ -21,6 +21,7 @@ def main(
     sagemaker_pipeline_description,
     sagemaker_pipeline_role,
     artifact_bucket,
+    commit_id=None,
 ):
     # Use project_name for pipeline and model package group name
     model_package_group_name = project_name
@@ -30,7 +31,7 @@ def main(
         default_bucket=artifact_bucket,
         model_package_group_name=model_package_group_name,
         pipeline_name=sagemaker_pipeline_name,
-        base_job_prefix=project_id,
+        commit_id=commit_id,
     )
 
     # Create the pipeline definition
@@ -91,6 +92,10 @@ def main(
         "--artifact-bucket",
         default=os.environ.get("ARTIFACT_BUCKET"),
     )
+    parser.add_argument(
+        "--commit-id",
+        default=os.environ.get("COMMIT_ID"),
+    )
     args = vars(parser.parse_args())
     logger.info("args: {}".format(args))
     main(**args)
diff --git a/build_pipeline/batch-pipeline.ipynb b/build_pipeline/batch-pipeline.ipynb
index c2588da..c04aca9 100644
--- a/build_pipeline/batch-pipeline.ipynb
+++ b/build_pipeline/batch-pipeline.ipynb
@@ -21,7 +21,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%store -r project_name"
@@ -37,12 +39,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "import sagemaker\n",
     "import json\n",
     "\n",
+    "import sagemaker\n",
+    "\n",
     "sess = sagemaker.session.Session()\n",
     "region_name = sess._region_name\n",
     "sm_client = sess.sagemaker_client\n",
@@ -62,7 +67,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from IPython.core.display import HTML\n",
@@ -84,13 +91,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
+    "import random\n",
+    "\n",
     "import boto3\n",
     "import pandas as pd\n",
-    "import random\n",
-    "from sagemaker.s3 import S3Downloader, S3Uploader\n",
     "\n",
     "\n",
     "def get_latest_processed_data(pipeline_name, step_name, output_name):\n",
@@ -100,14 +109,14 @@
     "    steps = sm_client.list_pipeline_execution_steps(\n",
     "        PipelineExecutionArn=execution_arn, SortOrder=\"Ascending\"\n",
     "    )[\"PipelineExecutionSteps\"]\n",
-    "    if step_name == \"ModelMonitor\":\n",
+    "    if \"monitoring\" in step_name:\n",
     "        links = next(\n",
     "            item[\"Metadata\"][\"QualityCheck\"]\n",
     "            for item in steps\n",
     "            if item[\"StepName\"] == step_name\n",
     "        )\n",
-    "        return list(filter(lambda x: str(x).startswith(\"s3:/\"),links.values()))\n",
-    "            \n",
+    "        return list(filter(lambda x: str(x).startswith(\"s3:/\"), links.values()))\n",
+    "\n",
     "    preprocess_arn = next(\n",
     "        item[\"Metadata\"][\"ProcessingJob\"][\"Arn\"]\n",
     "        for item in steps\n",
@@ -125,12 +134,11 @@
     "\n",
     "pipeline_name = f\"{project_name}-build\"\n",
     "test_uri = get_latest_processed_data(pipeline_name, \"PreprocessData\", \"test\")\n",
-    "S3Downloader().download(test_uri, \"preprocessed\")\n",
     "\n",
     "# Load the test scores into a dataframe\n",
-    "test_df = pd.read_csv(\"preprocessed/test.csv\")\n",
+    "test_df = pd.read_csv(f\"{test_uri}/test.csv\")\n",
     "print(test_df.shape)\n",
-    "test_df.head()"
+    "test_df"
    ]
   },
   {
@@ -143,11 +151,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "batch_staging_uri = f\"s3://{artifact_bucket}/{project_id}/batch/staging\"\n",
-    "S3Uploader().upload(\"preprocessed/test.csv\", batch_staging_uri);"
+    "batch_staging_uri = f\"s3://{artifact_bucket}/batch-input/staging/test.csv\"\n",
+    "test_df.to_csv(batch_staging_uri, header=False, index=False)"
    ]
   },
   {
@@ -164,7 +174,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from sagemaker.workflow.pipeline import Pipeline\n",
@@ -173,7 +185,7 @@
     "pipeline = Pipeline(pipeline_name)\n",
     "\n",
     "# Start pipeline\n",
-    "execution = pipeline.start()\n",
+    "execution = pipeline.start(parameters={\"DataInputUri\": batch_staging_uri})\n",
     "execution_name = execution.arn.split(\"/\")[-1]\n",
     "\n",
     "print(f\"Waiting for execution: {execution_name} for pipeline {pipeline_name}...\")\n",
@@ -192,16 +204,47 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "staging_scores_uri = get_latest_processed_data(pipeline_name, \"ScoreModel\", \"scores\")\n",
-    "S3Downloader().download(staging_scores_uri, \"staging\")\n",
+    "from sagemaker.experiments.trial import _Trial\n",
+    "from sagemaker.experiments.trial_component import _TrialComponent\n",
+    "\n",
+    "latest_trial_name = list(\n",
+    "    _Trial.list(\n",
+    "        experiment_name=pipeline_name, sort_by=\"CreationTime\", sort_order=\"Descending\"\n",
+    "    )\n",
+    ")[0].trial_name\n",
+    "transform_trial_component_name = [\n",
+    "    k\n",
+    "    for k in _TrialComponent.list(trial_name=latest_trial_name)\n",
+    "    if k.trial_component_source.get(\"SourceType\") == \"SageMakerTransformJob\"\n",
+    "][0].trial_component_name\n",
     "\n",
+    "trial_component = _TrialComponent.load(\n",
+    "    trial_component_name=transform_trial_component_name\n",
+    ")\n",
+    "transformed_data_uri = trial_component.output_artifacts[\n",
+    "    \"SageMaker.TransformOutput\"\n",
+    "].value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
     "# Load the predicted scores\n",
-    "pred_df = pd.read_csv(\"staging/scores.csv\")\n",
-    "pred_df = pred_df.rename(columns={\"fare_amount\": \"fare_amount_prediction\"})\n",
-    "pred_df.head()"
+    "pred_df = pd.read_csv(\n",
+    "    f\"{transformed_data_uri}/test.csv.out\",\n",
+    "    names=[\"fare_amount_prediction\"],\n",
+    ")\n",
+    "pred_df"
    ]
   },
   {
@@ -210,18 +253,21 @@
    "source": [
     "### Evaluate\n",
     "\n",
-    "Calculate the root mean squre error (RMSE) to evaluate the performance of this model. "
+    "Calculate the root mean square error (RMSE) to evaluate the performance of this model. "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "from sklearn.metrics import mean_squared_error\n",
     "from math import sqrt\n",
     "\n",
+    "from sklearn.metrics import mean_squared_error\n",
+    "\n",
     "mse = mean_squared_error(test_df[\"fare_amount\"], pred_df[\"fare_amount_prediction\"])\n",
     "rmse = sqrt(mse)\n",
     "print(f\"RMSE: {rmse}\")"
@@ -231,13 +277,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Plot the residules to see where the errors are relative to the fare amount."
+    "Plot the residues to see where the errors are relative to the fare amount."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import seaborn as sns\n",
@@ -272,7 +320,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "test_df[\"passenger_count\"] = random.choices(\n",
@@ -280,9 +330,7 @@
     ")\n",
     "test_df[\"geo_distance\"] = test_df[\"passenger_count\"].apply(\n",
     "    lambda x: 70 * random.betavariate(2.5, 2)\n",
-    ")\n",
-    "\n",
-    "test_df.to_csv(\"preprocessed/tweaked.csv\", header=True, index=False)"
+    ")"
    ]
   },
   {
@@ -295,11 +343,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "batch_prod_uri = f\"s3://{artifact_bucket}/{project_id}/batch/prod\"\n",
-    "S3Uploader().upload(\"preprocessed/tweaked.csv\", batch_prod_uri);"
+    "batch_prod_uri = f\"s3://{artifact_bucket}/batch-input/prod/tweaked.csv\"\n",
+    "test_df.to_csv(batch_prod_uri, header=False, index=False)"
    ]
   },
   {
@@ -314,14 +364,16 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "pipeline_name = f\"{project_name}-batch-prod\"\n",
     "pipeline = Pipeline(pipeline_name)\n",
     "\n",
     "# Start pipeline\n",
-    "execution = pipeline.start()\n",
+    "execution = pipeline.start(parameters={\"DataInputUri\": batch_prod_uri})\n",
     "execution_name = execution.arn.split(\"/\")[-1]\n",
     "\n",
     "print(f\"Waiting for execution: {execution_name} for pipeline {pipeline_name}...\")\n",
@@ -340,7 +392,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "for step in execution.list_steps():\n",
@@ -359,11 +413,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
+    "from sagemaker.s3 import S3Downloader\n",
+    "\n",
     "monitor_uri = get_latest_processed_data(\n",
-    "    pipeline_name, \"ModelMonitor\", \"monitoring_output\"\n",
+    "    pipeline_name, \"MonitorDataQuality-monitoring\", \"monitoring_output\"\n",
     ")\n",
     "\n",
     "print(\"Downloading monitor files:\")\n",
@@ -382,7 +440,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import json\n",
@@ -414,7 +474,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "alarm_name = f\"sagemaker-{pipeline_name}-threshold\"\n",
@@ -438,6 +500,7 @@
    "outputs": [],
    "source": [
     "from datetime import datetime, timedelta\n",
+    "\n",
     "from dateutil.tz import tzlocal\n",
     "\n",
     "pipeline_name = f\"{project_name}-build\"\n",
@@ -542,14 +605,589 @@
   }
  ],
  "metadata": {
+  "availableInstances": [
+   {
+    "_defaultOrder": 0,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.t3.medium",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 1,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.t3.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 2,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.t3.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 3,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.t3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 4,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 5,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 6,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 7,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 8,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 9,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 10,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 11,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 12,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5d.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 13,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5d.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 14,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5d.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 15,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5d.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 16,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5d.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 17,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5d.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 18,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5d.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 19,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 20,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": true,
+    "memoryGiB": 0,
+    "name": "ml.geospatial.interactive",
+    "supportedImageNames": [
+     "sagemaker-geospatial-v1-0"
+    ],
+    "vcpuNum": 0
+   },
+   {
+    "_defaultOrder": 21,
+    "_isFastLaunch": true,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.c5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 22,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.c5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 23,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.c5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 24,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.c5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 25,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 72,
+    "name": "ml.c5.9xlarge",
+    "vcpuNum": 36
+   },
+   {
+    "_defaultOrder": 26,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 96,
+    "name": "ml.c5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 27,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 144,
+    "name": "ml.c5.18xlarge",
+    "vcpuNum": 72
+   },
+   {
+    "_defaultOrder": 28,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.c5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 29,
+    "_isFastLaunch": true,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g4dn.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 30,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g4dn.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 31,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g4dn.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 32,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g4dn.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 33,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g4dn.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 34,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g4dn.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 35,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 61,
+    "name": "ml.p3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 36,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 244,
+    "name": "ml.p3.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 37,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 488,
+    "name": "ml.p3.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 38,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.p3dn.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 39,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.r5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 40,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.r5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 41,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.r5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 42,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.r5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 43,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.r5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 44,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.r5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 45,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 512,
+    "name": "ml.r5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 46,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.r5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 47,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 48,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 49,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 50,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 51,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 52,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 53,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.g5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 54,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.g5.48xlarge",
+    "vcpuNum": 192
+   },
+   {
+    "_defaultOrder": 55,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 56,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4de.24xlarge",
+    "vcpuNum": 96
+   }
+  ],
   "instance_type": "ml.t3.medium",
   "interpreter": {
    "hash": "07c1d6c68b7b22b50965762993b154aa5a1dd6aa65a365988d7d4c27c573599b"
   },
   "kernelspec": {
-   "display_name": "Python 3 (Data Science)",
+   "display_name": "Python 3 (Data Science 3.0)",
    "language": "python",
-   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-1:742091327244:image/datascience-1.0"
+   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-southeast-1:492261229750:image/sagemaker-data-science-310-v1"
   },
   "language_info": {
    "codemirror_mode": {
@@ -561,7 +1199,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,
diff --git a/build_pipeline/build-pipeline.ipynb b/build_pipeline/build-pipeline.ipynb
index 7ffcdc3..14c71eb 100644
--- a/build_pipeline/build-pipeline.ipynb
+++ b/build_pipeline/build-pipeline.ipynb
@@ -6,17 +6,23 @@
    "source": [
     "# Build Pipeline Notebook\n",
     "\n",
-    "This notebook will exercise the drift detection MLOps `build pipeline`"
+    "This notebook will exercise the drift detection MLOps `build pipeline`\n",
+    "\n",
+    "***\n",
+    "This notebook has been written for `Data Science 3.0 (Python 3) kernel`\n",
+    "***"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%%capture\n",
-    "%pip install -U pandas seaborn"
+    "%pip install -U pip pandas"
    ]
   },
   {
@@ -31,7 +37,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "project_name = \"<<project_name>>\"  # << Update this drift detection project\n",
@@ -48,7 +56,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import json\n",
@@ -76,7 +86,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from sagemaker.s3 import S3Downloader, S3Uploader\n",
@@ -88,7 +100,7 @@
     "S3Downloader().download(download_uri, \"input/zones\")\n",
     "\n",
     "# Upload input to the target location\n",
-    "input_data_uri = f\"s3://{artifact_bucket}/{project_id}/input\"\n",
+    "input_data_uri = f\"s3://{artifact_bucket}/input\"\n",
     "S3Uploader().upload(\"input\", input_data_uri)\n",
     "\n",
     "print(\"Listing input files:\")\n",
@@ -108,11 +120,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "from datetime import datetime\n",
-    "\n",
+    "from sagemaker.utils import name_from_base\n",
     "from sagemaker.workflow.pipeline import Pipeline\n",
     "\n",
     "pipeline_name = f\"{project_name}-build\"\n",
@@ -120,7 +133,7 @@
     "\n",
     "# Start pipeline\n",
     "execution = pipeline.start(\n",
-    "    execution_display_name=f\"ManualExecution-{datetime.now():%Y%m%d-%H%M%S}\",\n",
+    "    execution_display_name=name_from_base(\"ManualExecution\", short=True),\n",
     "    execution_description=\"Execution triggered from the demo notebook\",\n",
     ")\n",
     "execution_name = execution.arn.split(\"/\")[-1]\n",
@@ -141,18 +154,20 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "for step in execution.list_steps():\n",
-    "    print(\"Step: {}, Status: {}\".format(step[\"StepName\"], step[\"StepStatus\"]))"
+    "    print(\"Step: {StepName}, Status: {StepStatus}\".format(**step))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Evaluate\n",
+    "## Evaluate\n",
     "\n",
     "Get the estimator for the training job in the pipeline."
    ]
@@ -238,7 +253,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Approve Model\n",
+    "## Approve Model\n",
     "\n",
     "ℹ️ Once we are happy with this training job, we can [Update the Approval Status](https://docs.aws.amazon.com/sagemaker/latest/dg/model-registry-approve.html) of a model."
    ]
@@ -249,7 +264,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "model_package_arn = get_execution_step(\"RegisterModel\")[0][\"RegisterModel\"][\"Arn\"]\n",
+    "model_package_arn = get_execution_step(\"RegisterModel-RegisterModel\")[0][\n",
+    "    \"RegisterModel\"\n",
+    "][\"Arn\"]\n",
     "model_package_version = model_package_arn.split(\"/\")[-1]\n",
     "print(f\"Model version: {model_package_version}\")"
    ]
@@ -357,6 +374,581 @@
   }
  ],
  "metadata": {
+  "availableInstances": [
+   {
+    "_defaultOrder": 0,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.t3.medium",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 1,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.t3.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 2,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.t3.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 3,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.t3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 4,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 5,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 6,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 7,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 8,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 9,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 10,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 11,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 12,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5d.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 13,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5d.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 14,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5d.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 15,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5d.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 16,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5d.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 17,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5d.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 18,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5d.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 19,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 20,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": true,
+    "memoryGiB": 0,
+    "name": "ml.geospatial.interactive",
+    "supportedImageNames": [
+     "sagemaker-geospatial-v1-0"
+    ],
+    "vcpuNum": 0
+   },
+   {
+    "_defaultOrder": 21,
+    "_isFastLaunch": true,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.c5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 22,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.c5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 23,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.c5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 24,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.c5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 25,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 72,
+    "name": "ml.c5.9xlarge",
+    "vcpuNum": 36
+   },
+   {
+    "_defaultOrder": 26,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 96,
+    "name": "ml.c5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 27,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 144,
+    "name": "ml.c5.18xlarge",
+    "vcpuNum": 72
+   },
+   {
+    "_defaultOrder": 28,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.c5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 29,
+    "_isFastLaunch": true,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g4dn.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 30,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g4dn.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 31,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g4dn.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 32,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g4dn.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 33,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g4dn.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 34,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g4dn.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 35,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 61,
+    "name": "ml.p3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 36,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 244,
+    "name": "ml.p3.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 37,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 488,
+    "name": "ml.p3.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 38,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.p3dn.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 39,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.r5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 40,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.r5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 41,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.r5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 42,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.r5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 43,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.r5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 44,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.r5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 45,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 512,
+    "name": "ml.r5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 46,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.r5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 47,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 48,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 49,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 50,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 51,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 52,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 53,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.g5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 54,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.g5.48xlarge",
+    "vcpuNum": 192
+   },
+   {
+    "_defaultOrder": 55,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 56,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4de.24xlarge",
+    "vcpuNum": 96
+   }
+  ],
   "instance_type": "ml.t3.medium",
   "interpreter": {
    "hash": "07c1d6c68b7b22b50965762993b154aa5a1dd6aa65a365988d7d4c27c573599b"
diff --git a/build_pipeline/buildspec.yml b/build_pipeline/buildspec.yml
index e10f901..54e8bf3 100644
--- a/build_pipeline/buildspec.yml
+++ b/build_pipeline/buildspec.yml
@@ -5,7 +5,7 @@ phases:
       nodejs: '16'
       python: '3.9'
     commands:
-    - npm install aws-cdk@2.46.0
+    - npm install aws-cdk@2.62.2
     - npm update
     - python -m pip install -r requirements.txt
   build:
diff --git a/build_pipeline/cdk.json b/build_pipeline/cdk.json
index 9661d79..ddbb4d5 100644
--- a/build_pipeline/cdk.json
+++ b/build_pipeline/cdk.json
@@ -1,4 +1,5 @@
 {
   "app": "python3 app.py",
-  "context": {}
+  "context": {},
+  "versionReporting": false
 }
\ No newline at end of file
diff --git a/build_pipeline/deployment-pipeline.ipynb b/build_pipeline/deployment-pipeline.ipynb
index f8d5d76..6baefa1 100644
--- a/build_pipeline/deployment-pipeline.ipynb
+++ b/build_pipeline/deployment-pipeline.ipynb
@@ -6,7 +6,11 @@
    "source": [
     "# Deployment Pipeline Notebook\n",
     "\n",
-    "This notebook will exercise the drift detection MLOps `deployment pipeline`"
+    "This notebook will exercise the drift detection MLOps `deployment pipeline`\n",
+    "\n",
+    "***\n",
+    "This notebook has been written for `Data Science 3.0 (Python 3) kernel`\n",
+    "***"
    ]
   },
   {
@@ -21,7 +25,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%store -r project_name"
@@ -37,17 +43,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "import sagemaker\n",
     "import json\n",
     "\n",
+    "import sagemaker\n",
+    "\n",
     "sess = sagemaker.session.Session()\n",
     "region_name = sess._region_name\n",
     "sm_client = sess.sagemaker_client\n",
     "project_id = sm_client.describe_project(ProjectName=project_name)[\"ProjectId\"]\n",
     "artifact_bucket = f\"sagemaker-project-{project_id}-{region_name}\"\n",
+    "role = sagemaker.get_execution_role()\n",
     "\n",
     "print(f\"Project: {project_name} ({project_id})\")"
    ]
@@ -62,7 +72,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from IPython.core.display import HTML\n",
@@ -84,12 +96,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
+    "import random\n",
+    "\n",
     "import boto3\n",
     "import pandas as pd\n",
-    "import random\n",
     "from sagemaker.s3 import S3Downloader, S3Uploader\n",
     "\n",
     "\n",
@@ -139,18 +154,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "from botocore.exceptions import WaiterError\n",
+    "from sagemaker.deserializers import CSVDeserializer\n",
     "from sagemaker.predictor import Predictor\n",
     "from sagemaker.serializers import CSVSerializer\n",
-    "from sagemaker.deserializers import CSVDeserializer\n",
+    "\n",
     "\n",
     "# Define the predictor for staging\n",
     "def wait_for_predictor(stage_name):\n",
     "    try:\n",
-    "        endpoint_name = f\"sagemaker-{project_name}-{stage_name}\"\n",
+    "        endpoint_name = f\"{project_name}-{stage_name}\"\n",
     "        predictor = Predictor(\n",
     "            endpoint_name, serializer=CSVSerializer(), deserializer=CSVDeserializer()\n",
     "        )\n",
@@ -188,13 +206,101 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "payload = \"1,-73.986114,40.685634,-73.936794,40.715370,5.318025,7,0,2\"\n",
     "predictor.predict(data=payload)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Inference recommender (Optional)\n",
+    "\n",
+    "Inference recommender automates load testing and can help select the best instance type and configuration (such as instance count, container parameters, and model optimizations). In this example, we leverage the Staging Endpoint to base the Inference recommender job."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Get registered model package ARN using SageMaker lineage features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from sagemaker.lineage.context import Context, EndpointContext\n",
+    "from sagemaker.lineage.query import (\n",
+    "    LineageEntityEnum,\n",
+    "    LineageFilter,\n",
+    "    LineageQuery,\n",
+    "    LineageQueryDirectionEnum,\n",
+    "    LineageSourceEnum,\n",
+    ")\n",
+    "\n",
+    "endpoint_arn = sm_client.describe_endpoint(\n",
+    "    EndpointName=predictor.endpoint_name,\n",
+    ").get(\"EndpointArn\")\n",
+    "\n",
+    "contexts = Context.list(source_uri=endpoint_arn)\n",
+    "context_name = list(contexts)[0].context_name\n",
+    "endpoint_context = EndpointContext.load(context_name=context_name)\n",
+    "\n",
+    "query_filter = LineageFilter(\n",
+    "    entities=[LineageEntityEnum.ARTIFACT],\n",
+    "    sources=[LineageSourceEnum.MODEL],\n",
+    "    properties={\"ApprovalStatus\": \"Approved\"},\n",
+    ")\n",
+    "\n",
+    "query_result = LineageQuery(sess).query(\n",
+    "    start_arns=[endpoint_context.context_arn],\n",
+    "    query_filter=query_filter,\n",
+    "    direction=LineageQueryDirectionEnum.ASCENDANTS,\n",
+    "    include_edges=False,\n",
+    ")\n",
+    "model_package_version_arn = [\n",
+    "    vertex.to_lineage_object().source.source_uri for vertex in query_result.vertices\n",
+    "][0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Create the inference recommender job. After creation, you can follow the progress of the job and get a report on the results from the left-hand panel."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "sm_client.create_inference_recommendations_job(\n",
+    "    JobName=sagemaker.utils.name_from_base(\"DataDriftStagingJob\", short=True),\n",
+    "    JobType=\"Default\",\n",
+    "    RoleArn=role,\n",
+    "    InputConfig={\n",
+    "        \"ModelPackageVersionArn\": model_package_version_arn,\n",
+    "        \"Endpoints\": [{\"EndpointName\": predictor.endpoint_name}],\n",
+    "    },\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -327,8 +433,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from threading import Thread\n",
     "import time\n",
+    "from threading import Thread\n",
     "\n",
     "\n",
     "def invoke_endpoint_forever():\n",
@@ -364,6 +470,7 @@
    "outputs": [],
    "source": [
     "from datetime import datetime, timedelta\n",
+    "\n",
     "from dateutil.tz import tzlocal\n",
     "\n",
     "model_monitor = predictor.list_monitors()[0]\n",
@@ -373,7 +480,7 @@
     "now = datetime.now(tzlocal())\n",
     "next_hour = (now + timedelta(hours=1)).replace(minute=0)\n",
     "scheduled_diff = (next_hour - now).seconds // 60\n",
-    "print(\"Next schedule in {} minutes\".format(scheduled_diff))"
+    "print(f\"Next schedule in {scheduled_diff} minutes\")"
    ]
   },
   {
@@ -430,11 +537,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import boto3\n",
-    "from datetime import datetime, timedelta\n",
-    "from dateutil.tz import tzlocal\n",
     "import random\n",
+    "from datetime import datetime, timedelta\n",
     "\n",
+    "import boto3\n",
+    "from dateutil.tz import tzlocal\n",
     "\n",
     "cloudwatch = boto3.client(\"cloudwatch\")\n",
     "\n",
@@ -625,14 +732,589 @@
   }
  ],
  "metadata": {
+  "availableInstances": [
+   {
+    "_defaultOrder": 0,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.t3.medium",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 1,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.t3.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 2,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.t3.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 3,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.t3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 4,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 5,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 6,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 7,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 8,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 9,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 10,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 11,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 12,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5d.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 13,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5d.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 14,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5d.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 15,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5d.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 16,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5d.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 17,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5d.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 18,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5d.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 19,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 20,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": true,
+    "memoryGiB": 0,
+    "name": "ml.geospatial.interactive",
+    "supportedImageNames": [
+     "sagemaker-geospatial-v1-0"
+    ],
+    "vcpuNum": 0
+   },
+   {
+    "_defaultOrder": 21,
+    "_isFastLaunch": true,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.c5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 22,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.c5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 23,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.c5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 24,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.c5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 25,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 72,
+    "name": "ml.c5.9xlarge",
+    "vcpuNum": 36
+   },
+   {
+    "_defaultOrder": 26,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 96,
+    "name": "ml.c5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 27,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 144,
+    "name": "ml.c5.18xlarge",
+    "vcpuNum": 72
+   },
+   {
+    "_defaultOrder": 28,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.c5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 29,
+    "_isFastLaunch": true,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g4dn.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 30,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g4dn.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 31,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g4dn.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 32,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g4dn.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 33,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g4dn.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 34,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g4dn.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 35,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 61,
+    "name": "ml.p3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 36,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 244,
+    "name": "ml.p3.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 37,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 488,
+    "name": "ml.p3.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 38,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.p3dn.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 39,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.r5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 40,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.r5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 41,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.r5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 42,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.r5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 43,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.r5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 44,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.r5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 45,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 512,
+    "name": "ml.r5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 46,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.r5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 47,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 48,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 49,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 50,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 51,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 52,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 53,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.g5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 54,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.g5.48xlarge",
+    "vcpuNum": 192
+   },
+   {
+    "_defaultOrder": 55,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 56,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4de.24xlarge",
+    "vcpuNum": 96
+   }
+  ],
   "instance_type": "ml.t3.medium",
   "interpreter": {
    "hash": "07c1d6c68b7b22b50965762993b154aa5a1dd6aa65a365988d7d4c27c573599b"
   },
   "kernelspec": {
-   "display_name": "Python 3 (Data Science)",
+   "display_name": "Python 3 (Data Science 3.0)",
    "language": "python",
-   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-1:742091327244:image/datascience-1.0"
+   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-southeast-1:492261229750:image/sagemaker-data-science-310-v1"
   },
   "language_info": {
    "codemirror_mode": {
@@ -644,7 +1326,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,
diff --git a/build_pipeline/infra/sagemaker_pipeline_stack.py b/build_pipeline/infra/sagemaker_pipeline_stack.py
index fc14baf..bfa8127 100644
--- a/build_pipeline/infra/sagemaker_pipeline_stack.py
+++ b/build_pipeline/infra/sagemaker_pipeline_stack.py
@@ -25,29 +25,6 @@ def __init__(
     ) -> None:
         super().__init__(scope, construct_id, **kwargs)
 
-        # definition_bucket = cdk.CfnParameter(
-        #     self,
-        #     "PipelineDefinitionBucket",
-        #     type="String",
-        #     description="The s3 bucket for pipeline definition",
-        #     min_length=1,
-        # )
-        # definition_key = cdk.CfnParameter(
-        #     self,
-        #     "PipelineDefinitionKey",
-        #     type="String",
-        #     description="The s3 key for pipeline definition",
-        #     min_length=1,
-        # )
-
-        sagemaker.CfnModelPackageGroup(
-            self,
-            "ModelPackageGroup",
-            model_package_group_name=model_package_group_name,
-            model_package_group_description=pipeline_description,
-            tags=tags,
-        )
-
         sagemaker.CfnPipeline(
             self,
             "Pipeline",
diff --git a/build_pipeline/lineage.ipynb b/build_pipeline/lineage.ipynb
new file mode 100644
index 0000000..40444f2
--- /dev/null
+++ b/build_pipeline/lineage.ipynb
@@ -0,0 +1,938 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "378d8cc7-d9bf-46a5-ba2f-6bfd4f10e202",
+   "metadata": {},
+   "source": [
+    "# Lineage\n",
+    "\n",
+    "This notebook shows how to use [SageMaker Lineage](https://sagemaker.readthedocs.io/en/stable/workflows/lineage/index.html) to retrieve the links between the different steps of the ML workflow.\n",
+    "\n",
+    "***\n",
+    "This notebook has been written for `Data Science 3.0 (Python 3) kernel`\n",
+    "***"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d9d9445-d313-4655-8ce2-2393a97c2f92",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%pip install -q pyvis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f9671b51-ec8f-4f76-b5fe-3c6a87c31722",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import pprint\n",
+    "\n",
+    "import sagemaker\n",
+    "from sagemaker.lineage.action import Action\n",
+    "from sagemaker.lineage.artifact import Artifact, DatasetArtifact, ModelArtifact\n",
+    "from sagemaker.lineage.association import Association\n",
+    "from sagemaker.lineage.context import Context, EndpointContext\n",
+    "from sagemaker.lineage.query import (\n",
+    "    LineageEntityEnum,\n",
+    "    LineageFilter,\n",
+    "    LineageQuery,\n",
+    "    LineageQueryDirectionEnum,\n",
+    "    LineageSourceEnum,\n",
+    ")\n",
+    "from visualizer import Visualizer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "738fede5-d1ae-45f5-b1b1-46efce30b014",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%store -r project_name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2e045166-c64a-44a3-b4f5-ddf89697d791",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "sagemaker_session = sagemaker.Session()\n",
+    "region = sagemaker_session.boto_region_name\n",
+    "sm_client = sagemaker_session.sagemaker_client\n",
+    "default_bucket = sagemaker_session.default_bucket()\n",
+    "role = sagemaker.get_execution_role()\n",
+    "project_id = sm_client.describe_project(ProjectName=project_name)[\"ProjectId\"]\n",
+    "\n",
+    "# Helper function to print query outputs\n",
+    "pp = pprint.PrettyPrinter()\n",
+    "\n",
+    "print(f\"Project: {project_name} ({project_id})\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec785a5a-642f-40d0-af54-24921c2b2cad",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "endpoint_name = f\"{project_name}-staging\"\n",
+    "endpoint_arn = sm_client.describe_endpoint(\n",
+    "    EndpointName=endpoint_name,\n",
+    ").get(\"EndpointArn\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "342d98b2-2f3c-400c-bbaf-74bb5828c905",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "contexts = Context.list(source_uri=endpoint_arn)\n",
+    "context_name = list(contexts)[0].context_name\n",
+    "endpoint_context = EndpointContext.load(context_name=context_name)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "ca5e1902-af14-462c-befe-56feb95775a2",
+   "metadata": {},
+   "source": [
+    "## Registered model package from Endpoint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fd4417b-4515-43c1-be3c-52ff4dfaeadf",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "query_filter = LineageFilter(\n",
+    "    entities=[LineageEntityEnum.ARTIFACT],\n",
+    "    sources=[LineageSourceEnum.MODEL],\n",
+    "    properties={\"ApprovalStatus\": \"Approved\"},\n",
+    ")\n",
+    "\n",
+    "# Providing this `LineageFilter` to the `LineageQuery` constructs a query that traverses through the given context `endpoint_context`\n",
+    "# and find all datasets.\n",
+    "\n",
+    "query_result = LineageQuery(sagemaker_session).query(\n",
+    "    start_arns=[endpoint_context.context_arn],\n",
+    "    query_filter=query_filter,\n",
+    "    direction=LineageQueryDirectionEnum.ASCENDANTS,\n",
+    "    include_edges=False,\n",
+    ")\n",
+    "\n",
+    "# Parse through the query results to get the lineage objects corresponding to the model\n",
+    "model_artifacts = []\n",
+    "for vertex in query_result.vertices:\n",
+    "    model_artifacts.append(vertex.to_lineage_object().source.source_uri)\n",
+    "\n",
+    "# The results of the `LineageQuery` API call return the ARN of the model deployed to the endpoint\n",
+    "# along with the S3 URI to the model.tar.gz file associated with the model\n",
+    "pp.pprint(model_artifacts)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "feddb6b6-0450-421e-9f1a-8a4e3effad08",
+   "metadata": {},
+   "source": [
+    "## Pipeline and pipeline execution from Endpoint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2a818005-bc09-4b68-9418-6f14ec56f1eb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "endpoint_context.pipeline_execution_arn()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5656b55-088e-44e2-b308-699af630458b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "pipeline_arn = endpoint_context.pipeline_execution_arn().split(\"/execution\")[0]\n",
+    "pipeline_arn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "7d987be6-7bd6-456a-a30a-e2a6a6dbb7d0",
+   "metadata": {},
+   "source": [
+    "## Training job from Endpoint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c71960fe-0640-4797-9d6d-bb8ed96ac772",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Define the LineageFilter to look for entities of type `TRIAL_COMPONENT` and the source of type `TRAINING_JOB`.\n",
+    "\n",
+    "query_filter = LineageFilter(\n",
+    "    entities=[LineageEntityEnum.TRIAL_COMPONENT],\n",
+    "    sources=[LineageSourceEnum.TRAINING_JOB],\n",
+    ")\n",
+    "\n",
+    "# Providing this `LineageFilter` to the `LineageQuery` constructs a query that traverses through the given context `endpoint_context`\n",
+    "# and find all datasets.\n",
+    "\n",
+    "query_result = LineageQuery(sagemaker_session).query(\n",
+    "    start_arns=[endpoint_context.context_arn],\n",
+    "    query_filter=query_filter,\n",
+    "    direction=LineageQueryDirectionEnum.ASCENDANTS,\n",
+    "    include_edges=False,\n",
+    ")\n",
+    "\n",
+    "# Parse through the query results to get the ARNs of the training jobs associated with this Endpoint\n",
+    "trial_components = []\n",
+    "for vertex in query_result.vertices:\n",
+    "    trial_components.append(vertex.arn)\n",
+    "\n",
+    "pp.pprint(trial_components)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f1eedb09-d482-4ec0-930d-aed93a203e5b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "training_jobs = [training_job for training_job in endpoint_context.training_job_arns()]\n",
+    "print(\"Training Jobs :\\n\", pp.pformat(training_jobs))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "a1678caa-fa7c-4eeb-9b58-efab7e96d01f",
+   "metadata": {},
+   "source": [
+    "## Datasets from Endpoint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3b08a6c-ad68-4f8b-86e4-9e1480e9294c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(\"Datasets:\")\n",
+    "for dataset in endpoint_context.dataset_artifacts():\n",
+    "    print(dataset.source.source_uri)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "f1086386-6da6-4aa4-8777-09bb17d100c1",
+   "metadata": {},
+   "source": [
+    "## Visualizing the lineage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8aa7aee-b51b-47d2-bb63-f4b6990aa1e5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "viz = Visualizer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c32f738d-b50c-4d38-b75f-0b87fb09d527",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "query_response = sm_client.query_lineage(\n",
+    "    StartArns=[endpoint_context.context_arn],\n",
+    "    Direction=\"Ascendants\",\n",
+    "    IncludeEdges=True,\n",
+    ")\n",
+    "\n",
+    "viz.render(query_response, \"Endpoint\", height=500, width=1200)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b0275b57-899b-4d0c-bf73-290fb5646abe",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "query_response = sm_client.query_lineage(\n",
+    "    StartArns=[endpoint_context.context_arn],\n",
+    "    Direction=\"Both\",\n",
+    "    IncludeEdges=True,\n",
+    ")\n",
+    "viz.render(query_response, \"Endpoint\", height=700, width=1200)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec779c5f-c257-428f-950a-26af12a37a8a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "availableInstances": [
+   {
+    "_defaultOrder": 0,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.t3.medium",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 1,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.t3.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 2,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.t3.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 3,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.t3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 4,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 5,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 6,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 7,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 8,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 9,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 10,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 11,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 12,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.m5d.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 13,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.m5d.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 14,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.m5d.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 15,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.m5d.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 16,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.m5d.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 17,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.m5d.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 18,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.m5d.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 19,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.m5d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 20,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": true,
+    "memoryGiB": 0,
+    "name": "ml.geospatial.interactive",
+    "supportedImageNames": [
+     "sagemaker-geospatial-v1-0"
+    ],
+    "vcpuNum": 0
+   },
+   {
+    "_defaultOrder": 21,
+    "_isFastLaunch": true,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.c5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 22,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.c5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 23,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.c5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 24,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.c5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 25,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 72,
+    "name": "ml.c5.9xlarge",
+    "vcpuNum": 36
+   },
+   {
+    "_defaultOrder": 26,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 96,
+    "name": "ml.c5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 27,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 144,
+    "name": "ml.c5.18xlarge",
+    "vcpuNum": 72
+   },
+   {
+    "_defaultOrder": 28,
+    "_isFastLaunch": false,
+    "category": "Compute optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.c5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 29,
+    "_isFastLaunch": true,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g4dn.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 30,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g4dn.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 31,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g4dn.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 32,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g4dn.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 33,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g4dn.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 34,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g4dn.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 35,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 61,
+    "name": "ml.p3.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 36,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 244,
+    "name": "ml.p3.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 37,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 488,
+    "name": "ml.p3.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 38,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.p3dn.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 39,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.r5.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 40,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.r5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 41,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.r5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 42,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.r5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 43,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.r5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 44,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.r5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 45,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 512,
+    "name": "ml.r5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 46,
+    "_isFastLaunch": false,
+    "category": "Memory Optimized",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.r5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 47,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.g5.xlarge",
+    "vcpuNum": 4
+   },
+   {
+    "_defaultOrder": 48,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.g5.2xlarge",
+    "vcpuNum": 8
+   },
+   {
+    "_defaultOrder": 49,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
+    "_defaultOrder": 50,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g5.8xlarge",
+    "vcpuNum": 32
+   },
+   {
+    "_defaultOrder": 51,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 1,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 256,
+    "name": "ml.g5.16xlarge",
+    "vcpuNum": 64
+   },
+   {
+    "_defaultOrder": 52,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 192,
+    "name": "ml.g5.12xlarge",
+    "vcpuNum": 48
+   },
+   {
+    "_defaultOrder": 53,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 4,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 384,
+    "name": "ml.g5.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 54,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.g5.48xlarge",
+    "vcpuNum": 192
+   },
+   {
+    "_defaultOrder": 55,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4d.24xlarge",
+    "vcpuNum": 96
+   },
+   {
+    "_defaultOrder": 56,
+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
+    "gpuNum": 8,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4de.24xlarge",
+    "vcpuNum": 96
+   }
+  ],
+  "instance_type": "ml.t3.medium",
+  "kernelspec": {
+   "display_name": "Python 3 (Data Science 3.0)",
+   "language": "python",
+   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:ap-southeast-1:492261229750:image/sagemaker-data-science-310-v1"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/build_pipeline/pipelines/pipeline.py b/build_pipeline/pipelines/pipeline.py
index 7737b22..c41257e 100644
--- a/build_pipeline/pipelines/pipeline.py
+++ b/build_pipeline/pipelines/pipeline.py
@@ -7,7 +7,6 @@
 
 Implements a get_pipeline(**kwargs) method.
 """
-import json
 import os
 
 import boto3
@@ -17,31 +16,33 @@
 from sagemaker.drift_check_baselines import DriftCheckBaselines
 from sagemaker.estimator import Estimator
 from sagemaker.inputs import TrainingInput
+from sagemaker.metadata_properties import MetadataProperties
+from sagemaker.model import Model
 from sagemaker.model_metrics import MetricsSource, ModelMetrics
 from sagemaker.model_monitor.dataset_format import DatasetFormat
 from sagemaker.processing import (
+    FrameworkProcessor,
     ProcessingInput,
     ProcessingOutput,
-    Processor,
     ScriptProcessor,
 )
 from sagemaker.s3 import S3Uploader
-from sagemaker.sklearn.processing import SKLearnProcessor
+from sagemaker.sklearn import SKLearn
 from sagemaker.utils import name_from_base
 from sagemaker.workflow.check_job_config import CheckJobConfig
-from sagemaker.workflow.condition_step import ConditionStep, JsonGet
+from sagemaker.workflow.condition_step import ConditionStep
 from sagemaker.workflow.conditions import ConditionLessThanOrEqualTo
 from sagemaker.workflow.execution_variables import ExecutionVariables
-from sagemaker.workflow.functions import Join
+from sagemaker.workflow.functions import Join, JsonGet
+from sagemaker.workflow.model_step import ModelStep
 from sagemaker.workflow.parameters import ParameterInteger, ParameterString
 from sagemaker.workflow.pipeline import Pipeline
+from sagemaker.workflow.pipeline_context import PipelineSession
 from sagemaker.workflow.properties import PropertyFile
 from sagemaker.workflow.quality_check_step import (
     DataQualityCheckConfig,
-    ModelQualityCheckConfig,
     QualityCheckStep,
 )
-from sagemaker.workflow.step_collections import RegisterModel
 from sagemaker.workflow.steps import CacheConfig, ProcessingStep, TrainingStep
 
 BASE_DIR = os.path.dirname(os.path.realpath(__file__))
@@ -59,11 +60,9 @@ def get_session(region, default_bucket):
     boto_session = boto3.Session(region_name=region)
 
     sagemaker_client = boto_session.client("sagemaker")
-    runtime_client = boto_session.client("sagemaker-runtime")
-    return sagemaker.session.Session(
+    return PipelineSession(
         boto_session=boto_session,
         sagemaker_client=sagemaker_client,
-        sagemaker_runtime_client=runtime_client,
         default_bucket=default_bucket,
     )
 
@@ -74,7 +73,7 @@ def get_pipeline(
     pipeline_name,
     model_package_group_name,
     default_bucket,
-    base_job_prefix,
+    commit_id: str = None,
 ):
     """Gets a SageMaker ML Pipeline instance working with on nyc taxi data.
     Args:
@@ -83,7 +82,6 @@ def get_pipeline(
         default_bucket: the bucket to use for storing the artifacts
         pipeline_name: the bucket to use for storing the artifacts
         model_package_group_name: the model package group name
-        base_job_prefix: the prefix to include after the bucket
     Returns:
         an instance of a pipeline
     """
@@ -96,77 +94,127 @@ def get_pipeline(
     )
     input_data = ParameterString(
         name="InputDataUrl",
-        default_value=f"s3://{default_bucket}/{base_job_prefix}/input/data",
+        default_value=f"s3://{default_bucket}/input/data",
     )
     input_zones = ParameterString(
         name="InputZonesUrl",
-        default_value=f"s3://{default_bucket}/{base_job_prefix}/input/zones/taxi_zones.zip",
+        default_value=f"s3://{default_bucket}/input/zones/taxi_zones.zip",
     )
     processing_instance_count = ParameterInteger(
-        name="ProcessingInstanceCount", default_value=1
+        name="ProcessingInstanceCount",
+        default_value=1,
     )
     processing_instance_type = ParameterString(
-        name="ProcessingInstanceType", default_value="ml.m5.xlarge"
+        name="ProcessingInstanceType",
+        default_value="ml.m5.xlarge",
     )
     baseline_instance_type = ParameterString(
-        name="BaselineInstanceType", default_value="ml.m5.xlarge"
+        name="BaselineInstanceType",
+        default_value="ml.m5.xlarge",
     )
     training_instance_type = ParameterString(
-        name="TrainingInstanceType", default_value="ml.m5.xlarge"
+        name="TrainingInstanceType",
+        default_value="ml.m5.xlarge",
     )
     model_approval_status = ParameterString(
-        name="ModelApprovalStatus", default_value="PendingManualApproval"
-    )
-    model_output = ParameterString(
-        name="ModelOutputUrl",
-        default_value=f"s3://{default_bucket}/{base_job_prefix}/model",
-    )
-    baseline_output = ParameterString(
-        name="OutputBaselineUrl",
-        default_value=f"s3://{default_bucket}/{base_job_prefix}/baseline/",
+        name="ModelApprovalStatus",
+        default_value="PendingManualApproval",
     )
 
-    # Create cache configuration (Unable to pass parameter for expire_after value)
+    output_common_path = [
+        "s3:/",
+        default_bucket,
+        pipeline_name,
+        Join(
+            on="-",
+            values=[
+                ExecutionVariables.START_DATETIME,
+                ExecutionVariables.PIPELINE_EXECUTION_ID,
+            ],
+        ),
+    ]
+
+    # Cache configuration (Unable to pass parameter for expire_after value)
     cache_config = CacheConfig(enable_caching=False, expire_after="PT1H")
 
     # processing step for feature engineering
-    sklearn_processor = SKLearnProcessor(
-        framework_version="0.23-1",
+    inputs = [
+        ProcessingInput(
+            source=input_data,
+            destination="/opt/ml/processing/input/data",
+            s3_data_distribution_type="ShardedByS3Key",
+        ),
+        ProcessingInput(
+            source=input_zones,
+            destination="/opt/ml/processing/input/zones",
+            s3_data_distribution_type="FullyReplicated",
+        ),
+    ]
+
+    outputs = [
+        ProcessingOutput(
+            output_name="train",
+            source="/opt/ml/processing/train",
+            destination=Join(
+                on="/",
+                values=output_common_path + ["train"],
+            ),
+        ),
+        ProcessingOutput(
+            output_name="validation",
+            source="/opt/ml/processing/validation",
+            destination=Join(
+                on="/",
+                values=output_common_path + ["validation"],
+            ),
+        ),
+        ProcessingOutput(
+            output_name="test",
+            source="/opt/ml/processing/test",
+            destination=Join(
+                on="/",
+                values=output_common_path + ["test"],
+            ),
+        ),
+        ProcessingOutput(
+            output_name="baseline",
+            source="/opt/ml/processing/baseline",
+            destination=Join(
+                on="/",
+                values=output_common_path + ["baseline"],
+            ),
+        ),
+        ProcessingOutput(
+            output_name="sample_payload",
+            source="/opt/ml/processing/sample_payload",
+            destination=Join(
+                on="/",
+                values=output_common_path + ["sample_payload"],
+            ),
+        ),
+    ]
+
+    sklearn_processor = FrameworkProcessor(
+        estimator_cls=SKLearn,
+        framework_version="1.2-1",
+        role=role,
         instance_type=processing_instance_type,
         instance_count=processing_instance_count,
-        base_job_name=f"{base_job_prefix}/sklearn-preprocess",
         sagemaker_session=sagemaker_session,
-        role=role,
     )
+
     step_process = ProcessingStep(
         name="PreprocessData",
-        processor=sklearn_processor,
-        inputs=[
-            ProcessingInput(
-                source=input_data,
-                destination="/opt/ml/processing/input/data",
-                s3_data_distribution_type="ShardedByS3Key",
-            ),
-            ProcessingInput(
-                source=input_zones,
-                destination="/opt/ml/processing/input/zones",
-                s3_data_distribution_type="FullyReplicated",
-            ),
-        ],
-        outputs=[
-            ProcessingOutput(output_name="train", source="/opt/ml/processing/train"),
-            ProcessingOutput(
-                output_name="validation", source="/opt/ml/processing/validation"
-            ),
-            ProcessingOutput(output_name="test", source="/opt/ml/processing/test"),
-            ProcessingOutput(
-                output_name="baseline", source="/opt/ml/processing/baseline"
-            ),
-        ],
-        code=os.path.join(BASE_DIR, "preprocess.py"),
+        step_args=sklearn_processor.run(
+            inputs=inputs,
+            outputs=outputs,
+            code="preprocess.py",
+            source_dir=os.path.join(BASE_DIR, "preprocess"),
+        ),
         cache_config=cache_config,
     )
 
+    # Data Quality Baseline step
     check_job_config = CheckJobConfig(
         role=role,
         instance_count=1,
@@ -175,19 +223,15 @@ def get_pipeline(
     )
 
     data_quality_check_config = DataQualityCheckConfig(
-        baseline_dataset=step_process.properties.ProcessingOutputConfig.Outputs[
-            "baseline"
-        ].S3Output.S3Uri,
+        baseline_dataset=(
+            step_process.properties.ProcessingOutputConfig.Outputs[
+                "baseline"
+            ].S3Output.S3Uri
+        ),
         dataset_format=DatasetFormat.csv(),
         output_s3_uri=Join(
             on="/",
-            values=[
-                "s3:/",
-                default_bucket,
-                base_job_prefix,
-                ExecutionVariables.PIPELINE_EXECUTION_ID,
-                "dataqualitycheckstep",
-            ],
+            values=output_common_path + ["dataqualitycheck"],
         ),
     )
 
@@ -206,19 +250,21 @@ def get_pipeline(
     rules = [Rule.sagemaker(rule_configs.create_xgboost_report())]
 
     # training step for generating model artifacts
+    framework = "xgboost"
+    framework_version = "1.2-2"
     image_uri = sagemaker.image_uris.retrieve(
-        framework="xgboost",
+        framework=framework,
         region=region,
-        version="1.2-2",
-        py_version="py3",
-        instance_type=training_instance_type,
+        version=framework_version,
     )
     xgb_train = Estimator(
         image_uri=image_uri,
         instance_type=training_instance_type,
         instance_count=1,
-        output_path=model_output,
-        base_job_name=f"{base_job_prefix}/train",
+        output_path=Join(
+            on="/",
+            values=output_common_path + ["model"],
+        ),
         sagemaker_session=sagemaker_session,
         role=role,
         disable_profiler=False,  # Profile processing job
@@ -237,23 +283,25 @@ def get_pipeline(
         min_child_weight=300,
         subsample=0.8,
     )
+
     step_train = TrainingStep(
         name="TrainModel",
-        estimator=xgb_train,
-        inputs={
-            "train": TrainingInput(
-                s3_data=step_process.properties.ProcessingOutputConfig.Outputs[
-                    "train"
-                ].S3Output.S3Uri,
-                content_type="text/csv",
-            ),
-            "validation": TrainingInput(
-                s3_data=step_process.properties.ProcessingOutputConfig.Outputs[
-                    "validation"
-                ].S3Output.S3Uri,
-                content_type="text/csv",
-            ),
-        },
+        step_args=xgb_train.fit(
+            inputs={
+                "train": TrainingInput(
+                    s3_data=step_process.properties.ProcessingOutputConfig.Outputs[
+                        "train"
+                    ].S3Output.S3Uri,
+                    content_type="text/csv",
+                ),
+                "validation": TrainingInput(
+                    s3_data=step_process.properties.ProcessingOutputConfig.Outputs[
+                        "validation"
+                    ].S3Output.S3Uri,
+                    content_type="text/csv",
+                ),
+            },
+        ),
         cache_config=cache_config,
     )
 
@@ -263,7 +311,6 @@ def get_pipeline(
         command=["python3"],
         instance_type=processing_instance_type,
         instance_count=1,
-        base_job_name=f"{base_job_prefix}/script-eval",
         sagemaker_session=sagemaker_session,
         role=role,
     )
@@ -274,25 +321,32 @@ def get_pipeline(
     )
     step_eval = ProcessingStep(
         name="EvaluateModel",
-        processor=script_eval,
-        inputs=[
-            ProcessingInput(
-                source=step_train.properties.ModelArtifacts.S3ModelArtifacts,
-                destination="/opt/ml/processing/model",
-            ),
-            ProcessingInput(
-                source=step_process.properties.ProcessingOutputConfig.Outputs[
-                    "test"
-                ].S3Output.S3Uri,
-                destination="/opt/ml/processing/test",
-            ),
-        ],
-        outputs=[
-            ProcessingOutput(
-                output_name="evaluation", source="/opt/ml/processing/evaluation"
-            ),
-        ],
-        code=os.path.join(BASE_DIR, "evaluate.py"),
+        step_args=script_eval.run(
+            # job_name=f"scripts/{commit_id[:8]}/evaluation",
+            inputs=[
+                ProcessingInput(
+                    source=step_train.properties.ModelArtifacts.S3ModelArtifacts,
+                    destination="/opt/ml/processing/model",
+                ),
+                ProcessingInput(
+                    source=step_process.properties.ProcessingOutputConfig.Outputs[
+                        "test"
+                    ].S3Output.S3Uri,
+                    destination="/opt/ml/processing/test",
+                ),
+            ],
+            outputs=[
+                ProcessingOutput(
+                    output_name="evaluation",
+                    source="/opt/ml/processing/evaluation",
+                    destination=Join(
+                        on="/",
+                        values=output_common_path + ["evaluation"],
+                    ),
+                ),
+            ],
+            code=os.path.join(BASE_DIR, "evaluate.py"),
+        ),
         property_files=[evaluation_report],
         cache_config=cache_config,
     )
@@ -300,10 +354,14 @@ def get_pipeline(
     # register model step that will be conditionally executed
     model_metrics = ModelMetrics(
         model_statistics=MetricsSource(
-            s3_uri="{}/evaluation.json".format(
-                step_eval.arguments["ProcessingOutputConfig"]["Outputs"][0]["S3Output"][
-                    "S3Uri"
-                ]
+            s3_uri=Join(
+                on="/",
+                values=[
+                    step_eval.arguments["ProcessingOutputConfig"]["Outputs"][0][
+                        "S3Output"
+                    ]["S3Uri"],
+                    "evaluation.json",
+                ],
             ),
             content_type="application/json",
         ),
@@ -328,24 +386,48 @@ def get_pipeline(
         ),
     )
 
-    step_register = RegisterModel(
-        name="RegisterModel",
-        estimator=xgb_train,
+    model = Model(
+        image_uri=image_uri,
         model_data=step_train.properties.ModelArtifacts.S3ModelArtifacts,
-        content_types=["text/csv"],
-        response_types=["text/csv"],
-        inference_instances=["ml.t2.medium", "ml.t2.large", "ml.m5.large"],
-        transform_instances=["ml.m5.large"],
-        model_package_group_name=model_package_group_name,
-        approval_status=model_approval_status,
-        model_metrics=model_metrics,
-        drift_check_baselines=drift_check_baselines,
+        sagemaker_session=sagemaker_session,
+        role=role,
+    )
+
+    step_register = ModelStep(
+        name="RegisterModel",
+        display_name="RegisterModel",
+        step_args=model.register(
+            content_types=["text/csv"],
+            response_types=["text/csv"],
+            model_package_group_name=model_package_group_name,
+            approval_status=model_approval_status,
+            model_metrics=model_metrics,
+            drift_check_baselines=drift_check_baselines,
+            domain="MACHINE_LEARNING",
+            task="REGRESSION",
+            framework=framework.upper(),
+            framework_version=framework_version,
+            sample_payload_url=Join(
+                on="/",
+                values=[
+                    step_process.properties.ProcessingOutputConfig.Outputs[
+                        "sample_payload"
+                    ].S3Output.S3Uri,
+                    "payload.tar.gz",
+                ],
+            ),
+            metadata_properties=MetadataProperties(
+                commit_id=os.getenv("COMMIT_ID"),
+                repository=os.getenv("REPOSITORY_NAME"),
+                project_id=os.getenv("SAGEMAKER_PROJECT_ID"),
+            ),
+        ),
     )
 
     # condition step for evaluating model quality and branching execution
     cond_lte = ConditionLessThanOrEqualTo(
         left=JsonGet(
-            step=step_eval,
+            step_name=step_eval.name,
             property_file=evaluation_report,
             json_path="regression_metrics.rmse.value",
         ),
@@ -370,8 +452,6 @@ def get_pipeline(
             baseline_instance_type,
             training_instance_type,
             model_approval_status,
-            model_output,
-            baseline_output,
         ],
         steps=[step_process, step_baseline, step_train, step_eval, step_cond],
         sagemaker_session=sagemaker_session,
@@ -380,15 +460,16 @@ def get_pipeline(
     return pipeline
 
 
-def upload_pipeline(pipeline: Pipeline, default_bucket, base_job_prefix):
+def upload_pipeline(pipeline: Pipeline, default_bucket):
     # Get the pipeline definition
     pipeline_definition_body = pipeline.definition()
     # Upload the pipeline to a unique location in s3 based on git commit and timestamp
-    pipeline_name = name_from_base(f"{base_job_prefix}/pipeline")
+    pipeline_name = name_from_base(f"{pipeline.name}/pipeline-definition")
     S3Uploader.upload_string_as_file_body(
         pipeline_definition_body, f"s3://{default_bucket}/{pipeline_name}.json"
     )
-    # Return JSON with parameters used in Cfn Stack creation as template-configuration.json
+    # Return JSON with parameters used in Cfn Stack creation as
+    # template-configuration.json
     return {
         "PipelineDefinitionBucket": default_bucket,
         "PipelineDefinitionKey": f"{pipeline_name}.json",
diff --git a/build_pipeline/pipelines/preprocess.py b/build_pipeline/pipelines/preprocess/preprocess.py
similarity index 92%
rename from build_pipeline/pipelines/preprocess.py
rename to build_pipeline/pipelines/preprocess/preprocess.py
index 0c68450..4ada8e7 100644
--- a/build_pipeline/pipelines/preprocess.py
+++ b/build_pipeline/pipelines/preprocess/preprocess.py
@@ -2,16 +2,11 @@
 import glob
 import logging
 import os
-import subprocess
-import sys
 from zipfile import ZipFile
 
-# Install geopandas dependency before including pandas
-subprocess.check_call([sys.executable, "-m", "pip", "install", "geopandas==0.9.0"])
-
-import pandas as pd  # noqa: E402
-import geopandas as gpd  # noqa: E402
-from sklearn.model_selection import train_test_split  # noqa: E402
+import geopandas as gpd
+import pandas as pd
+from sklearn.model_selection import train_test_split
 
 logger = logging.getLogger()
 logger.setLevel(logging.INFO)
@@ -30,7 +25,7 @@ def load_zones(zones_dir: str):
     zone_df = gpd.read_file(os.path.join(zones_dir, "taxi_zones.shp"))
     # Get centroids as EPSG code of 3310 to measure distance
     zone_df["centroid"] = zone_df.geometry.centroid.to_crs(epsg=3310)
-    # Convert cordinates to the WSG84 lat/long CRS has a EPSG code of 4326.
+    # Convert coordinates to the WSG84 lat/long CRS has a EPSG code of 4326.
     zone_df["latitude"] = zone_df.centroid.to_crs(epsg=4326).x
     zone_df["longitude"] = zone_df.centroid.to_crs(epsg=4326).y
     return zone_df
@@ -130,8 +125,16 @@ def save_files(base_dir: str, data_df: pd.DataFrame, val_size=0.2, test_size=0.0
 
     # Save training data as baseline with header
     train_df.to_csv(f"{base_dir}/baseline/baseline.csv", header=True, index=False)
-    return train_df, val_df, test_df
 
+    # Save sample payload
+    train_df.sample(20).drop(columns=["fare_amount"]).to_csv(
+        f"{base_dir}/sample_payload/payload.tar.gz",
+        index=False,
+        header=False,
+        compression={'method': 'tar', "archive_name": "payload.csv"}
+    )
+
+    return train_df, val_df, test_df
 
 def main(base_dir):
     # Input data files
diff --git a/build_pipeline/pipelines/preprocess/requirements.txt b/build_pipeline/pipelines/preprocess/requirements.txt
new file mode 100644
index 0000000..565a7d1
--- /dev/null
+++ b/build_pipeline/pipelines/preprocess/requirements.txt
@@ -0,0 +1,2 @@
+geopandas==0.9.0
+pandas==1.5.0
\ No newline at end of file
diff --git a/build_pipeline/poetry.lock b/build_pipeline/poetry.lock
index 1cc83c0..1f153c8 100644
--- a/build_pipeline/poetry.lock
+++ b/build_pipeline/poetry.lock
@@ -1,38 +1,117 @@
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+
 [[package]]
 name = "attrs"
-version = "22.1.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
+
+[[package]]
+name = "aws-cdk-asset-awscli-v1"
+version = "2.2.173"
+description = "A library that contains the AWS CLI for use in Lambda Layers"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-awscli-v1-2.2.173.tar.gz", hash = "sha256:8fbda70421638a0cbe66386e1977c1deb9562881ab1e46b6145ad66c266e2a38"},
+    {file = "aws_cdk.asset_awscli_v1-2.2.173-py3-none-any.whl", hash = "sha256:c6a0590a31284bc9fc586f00765d73526ab99817d3547e25597cd3d18bc2e9f3"},
+]
+
+[package.dependencies]
+jsii = ">=1.81.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "aws-cdk-asset-kubectl-v20"
+version = "2.1.1"
+description = "A library that contains kubectl for use in Lambda Layers"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-kubectl-v20-2.1.1.tar.gz", hash = "sha256:9834cdb150c5590aea4e5eba6de2a89b4c60617451181c524810c5a75154565c"},
+    {file = "aws_cdk.asset_kubectl_v20-2.1.1-py3-none-any.whl", hash = "sha256:a2fad1a5a35a94a465efe60859f91e45dacc33261fb9bbf1cf9bbc6e2f70e9d6"},
+]
+
+[package.dependencies]
+jsii = ">=1.70.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
+
+[[package]]
+name = "aws-cdk-asset-node-proxy-agent-v5"
+version = "2.0.146"
+description = "@aws-cdk/asset-node-proxy-agent-v5"
+category = "main"
+optional = false
+python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-node-proxy-agent-v5-2.0.146.tar.gz", hash = "sha256:9aac36a3f69e9d7d99fc403192be41369ff0d0307a3e4c028a3a70e0108ac63c"},
+    {file = "aws_cdk.asset_node_proxy_agent_v5-2.0.146-py3-none-any.whl", hash = "sha256:cec187b3e2db5f90839598511c002bb4fda1d1728b81ebcae58c13c901681583"},
+]
+
+[package.dependencies]
+jsii = ">=1.81.0,<2.0.0"
+publication = ">=0.0.3"
+typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "aws-cdk-lib"
-version = "2.47.0"
+version = "2.79.1"
 description = "Version 2 of the AWS Cloud Development Kit library"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk-lib-2.79.1.tar.gz", hash = "sha256:7d88118827ed42025c7b661547b38c54b89afef2cd54214459df51104a1034c3"},
+    {file = "aws_cdk_lib-2.79.1-py3-none-any.whl", hash = "sha256:89f51117cc9c2cb2561605fdd5641ceb705ebe0185276dab799193783a70123b"},
+]
 
 [package.dependencies]
+"aws-cdk.asset-awscli-v1" = ">=2.2.165,<3.0.0"
+"aws-cdk.asset-kubectl-v20" = ">=2.1.1,<3.0.0"
+"aws-cdk.asset-node-proxy-agent-v5" = ">=2.0.139,<3.0.0"
 constructs = ">=10.0.0,<11.0.0"
-jsii = ">=1.69.0,<2.0.0"
+jsii = ">=1.80.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "black"
-version = "22.10.0"
+version = "22.12.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"},
+    {file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"},
+    {file = "black-22.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d30b212bffeb1e252b31dd269dfae69dd17e06d92b87ad26e23890f3efea366f"},
+    {file = "black-22.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:7412e75863aa5c5411886804678b7d083c7c28421210180d67dfd8cf1221e1f4"},
+    {file = "black-22.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c116eed0efb9ff870ded8b62fe9f28dd61ef6e9ddd28d83d7d264a38417dcee2"},
+    {file = "black-22.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1f58cbe16dfe8c12b7434e50ff889fa479072096d79f0a7f25e4ab8e94cd8350"},
+    {file = "black-22.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77d86c9f3db9b1bf6761244bc0b3572a546f5fe37917a044e02f3166d5aafa7d"},
+    {file = "black-22.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:82d9fe8fee3401e02e79767016b4907820a7dc28d70d137eb397b92ef3cc5bfc"},
+    {file = "black-22.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101c69b23df9b44247bd88e1d7e90154336ac4992502d4197bdac35dd7ee3320"},
+    {file = "black-22.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:559c7a1ba9a006226f09e4916060982fd27334ae1998e7a38b3f33a37f7a2148"},
+    {file = "black-22.12.0-py3-none-any.whl", hash = "sha256:436cc9167dd28040ad90d3b404aec22cedf24a6e4d7de221bec2730ec0c97bcf"},
+    {file = "black-22.12.0.tar.gz", hash = "sha256:229351e5a18ca30f447bf724d007f890f97e13af070bb6ad4c0a441cd7596a2f"},
+]
 
 [package.dependencies]
 click = ">=8.0.0"
@@ -50,14 +129,18 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.24.96"
+version = "1.26.133"
 description = "The AWS SDK for Python"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
+files = [
+    {file = "boto3-1.26.133-py3-none-any.whl", hash = "sha256:62285ecee7629a4388d55ae369536f759622d68d5b9a0ced7c58a0c1a409c0f7"},
+    {file = "boto3-1.26.133.tar.gz", hash = "sha256:8ff0af0b25266a01616396abc19eb34dc3d44bd867fa4158985924128b9034fb"},
+]
 
 [package.dependencies]
-botocore = ">=1.27.96,<1.28.0"
+botocore = ">=1.29.133,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -66,11 +149,15 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.27.96"
+version = "1.29.133"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = false
 python-versions = ">= 3.7"
+files = [
+    {file = "botocore-1.29.133-py3-none-any.whl", hash = "sha256:b266185d7414a559952569005009a400de50af91fd3da44f05cf05b00946c4a7"},
+    {file = "botocore-1.29.133.tar.gz", hash = "sha256:7b38e540f73c921d8cb0ac72794072000af9e10758c04ba7f53d5629cc52fa87"},
+]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
@@ -78,7 +165,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.14.0)"]
+crt = ["awscrt (==0.16.9)"]
 
 [[package]]
 name = "cattrs"
@@ -87,6 +174,10 @@ description = "Composable complex class support for attrs and dataclasses."
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "cattrs-22.2.0-py3-none-any.whl", hash = "sha256:bc12b1f0d000b9f9bee83335887d532a1d3e99a833d1bf0882151c97d3e68c21"},
+    {file = "cattrs-22.2.0.tar.gz", hash = "sha256:f0eed5642399423cf656e7b66ce92cdc5b963ecafd041d1b24d136fdde7acf6d"},
+]
 
 [package.dependencies]
 attrs = ">=20"
@@ -99,28 +190,52 @@ description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
+    {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
+]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "2.2.1"
+description = "Extended pickling support for Python objects"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"},
+    {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"},
+]
+
 [[package]]
 name = "colorama"
-version = "0.4.5"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
 
 [[package]]
 name = "constructs"
-version = "10.1.137"
+version = "10.2.24"
 description = "A programming model for software-defined state"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "constructs-10.2.24-py3-none-any.whl", hash = "sha256:590d2fd1f616ee027a698e479584997e3b6c206dc2746c26b8e47cceb33296c6"},
+    {file = "constructs-10.2.24.tar.gz", hash = "sha256:307abe5330dc81c1120d1876a4556d98b572abe85bb8c2b68bc7b6f18e359913"},
+]
 
 [package.dependencies]
-jsii = ">=1.70.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
@@ -131,25 +246,37 @@ description = "Backports and enhancements for the contextlib module"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
+    {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
+]
 
 [[package]]
 name = "dill"
-version = "0.3.5.1"
+version = "0.3.6"
 description = "serialize all of python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
+files = [
+    {file = "dill-0.3.6-py3-none-any.whl", hash = "sha256:a07ffd2351b8c678dfc4a856a3005f8067aea51d6ba6c700796a4d9e280f39f0"},
+    {file = "dill-0.3.6.tar.gz", hash = "sha256:e5db55f3687856d8fbdab002ed78544e1c4559a130302693d839dfe8f93f2373"},
+]
 
 [package.extras]
 graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.0.0rc9"
+version = "1.1.1"
 description = "Backport of PEP 654 (exception groups)"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"},
+    {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"},
+]
 
 [package.extras]
 test = ["pytest (>=6)"]
@@ -161,6 +288,11 @@ description = "pasta is an AST-based Python refactoring library"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
+    {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
+    {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"},
+]
 
 [package.dependencies]
 six = "*"
@@ -172,6 +304,10 @@ description = "Read metadata from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "importlib_metadata-4.13.0-py3-none-any.whl", hash = "sha256:8a8a81bcf996e74fee46f0d16bd3eaa382a7eb20fd82445c3ad11f4090334116"},
+    {file = "importlib_metadata-4.13.0.tar.gz", hash = "sha256:dd0173e8f150d6815e098fd354f6414b0f079af4644ddfe90c71e2fc6174346d"},
+]
 
 [package.dependencies]
 zipp = ">=0.5"
@@ -181,6 +317,25 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
 perf = ["ipython"]
 testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
+[[package]]
+name = "importlib-resources"
+version = "5.12.0"
+description = "Read resources from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"},
+    {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
@@ -188,135 +343,281 @@ description = "JSON Matching Expressions"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
+    {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
+]
 
 [[package]]
 name = "jsii"
-version = "1.70.0"
+version = "1.81.0"
 description = "Python client for jsii runtime"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "jsii-1.81.0-py3-none-any.whl", hash = "sha256:6d12cd881053bafbac19d2a28fc616497479739784e017534e4cf128ff977b62"},
+    {file = "jsii-1.81.0.tar.gz", hash = "sha256:585f6bedd9b586f48ce058451d24f362ee52936179987dd897a100f5355f228f"},
+]
 
 [package.dependencies]
-attrs = ">=21.2,<23.0"
+attrs = ">=21.2,<24.0"
 cattrs = ">=1.8,<22.3"
+importlib-resources = ">=5.2.0"
 publication = ">=0.0.3"
 python-dateutil = "*"
 typeguard = ">=2.13.3,<2.14.0"
 typing-extensions = ">=3.7,<5.0"
 
+[[package]]
+name = "jsonschema"
+version = "4.17.3"
+description = "An implementation of JSON Schema validation for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
+    {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
+]
+
+[package.dependencies]
+attrs = ">=17.4.0"
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+
 [[package]]
 name = "multiprocess"
-version = "0.70.13"
+version = "0.70.14"
 description = "better multiprocessing and multithreading in python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
+files = [
+    {file = "multiprocess-0.70.14-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:560a27540daef4ce8b24ed3cc2496a3c670df66c96d02461a4da67473685adf3"},
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+    {file = "multiprocess-0.70.14-pp37-pypy37_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:89fed99553a04ec4f9067031f83a886d7fdec5952005551a896a4b6a59575bb9"},
+    {file = "multiprocess-0.70.14-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:40a5e3685462079e5fdee7c6789e3ef270595e1755199f0d50685e72523e1d2a"},
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+    {file = "multiprocess-0.70.14.tar.gz", hash = "sha256:3eddafc12f2260d27ae03fe6069b12570ab4764ab59a75e81624fac453fbf46a"},
+]
 
 [package.dependencies]
-dill = ">=0.3.5.1"
+dill = ">=0.3.6"
 
 [[package]]
 name = "mypy-extensions"
-version = "0.4.3"
-description = "Experimental type system extensions for programs checked with the mypy typechecker."
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
+files = [
+    {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
+    {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
+]
 
 [[package]]
 name = "numpy"
-version = "1.23.4"
-description = "NumPy is the fundamental package for array computing with Python."
+version = "1.24.3"
+description = "Fundamental package for array computing in Python"
 category = "main"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"},
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+]
 
 [[package]]
 name = "protobuf3-to-dict"
@@ -333,6 +658,9 @@ description = "Ben Hodgson: A teeny Python library for creating Python dicts fro
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [package.dependencies]
 protobuf = ">=2.3.0"
@@ -345,17 +673,47 @@ description = "Publication helps you maintain public-api-friendly modules by pre
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [[package]]
-name = "pyparsing"
-version = "3.0.9"
-description = "pyparsing module - Classes and methods to define and execute parsing grammars"
+name = "pyrsistent"
+version = "0.19.3"
+description = "Persistent/Functional/Immutable data structures"
 category = "main"
 optional = false
-python-versions = ">=3.6.8"
-
-[package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
+python-versions = ">=3.7"
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 [[package]]
 name = "python-dateutil"
@@ -364,25 +722,76 @@ description = "Extensions to the standard Python datetime module"
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
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+]
 
 [package.dependencies]
 six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2022.5"
+version = "2023.3"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+]
+
+[[package]]
+name = "pyyaml"
+version = "5.4.1"
+description = "YAML parser and emitter for Python"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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+]
 
 [[package]]
 name = "s3transfer"
-version = "0.6.0"
+version = "0.6.1"
 description = "An Amazon S3 Transfer Manager"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
+files = [
+    {file = "s3transfer-0.6.1-py3-none-any.whl", hash = "sha256:3c0da2d074bf35d6870ef157158641178a4204a6e689e82546083e31e0311346"},
+    {file = "s3transfer-0.6.1.tar.gz", hash = "sha256:640bb492711f4c0c0905e1f62b6aaeb771881935ad27884852411f8e9cacbca9"},
+]
 
 [package.dependencies]
 botocore = ">=1.12.36,<2.0a.0"
@@ -392,31 +801,39 @@ crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
 
 [[package]]
 name = "sagemaker"
-version = "2.113.0"
+version = "2.154.0"
 description = "Open source library for training and deploying models on Amazon SageMaker."
 category = "main"
 optional = false
 python-versions = ">= 3.6"
+files = [
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+]
 
 [package.dependencies]
 attrs = ">=20.3.0,<23"
-boto3 = ">=1.20.21,<2.0"
+boto3 = ">=1.26.28,<2.0"
+cloudpickle = "2.2.1"
 google-pasta = "*"
 importlib-metadata = ">=1.4.0,<5.0"
+jsonschema = "*"
 numpy = ">=1.9.0,<2.0"
 packaging = ">=20.0"
 pandas = "*"
 pathos = "*"
+platformdirs = "*"
 protobuf = ">=3.1,<4.0"
 protobuf3-to-dict = ">=0.1.5,<1.0"
+PyYAML = "5.4.1"
 schema = "*"
 smdebug_rulesconfig = "1.0.1"
+tblib = "1.7.0"
 
 [package.extras]
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+test = ["Jinja2 (==3.0.3)", "PyYAML (==5.4.1)", "apache-airflow (==2.5.1)", "apache-airflow-providers-amazon (==7.2.1)", "attrs (==22.1.0)", "awslogs (==0.14.0)", "black (==22.3.0)", "cloudpickle (==2.2.1)", "contextlib2 (==21.6.0)", "coverage (>=5.2,<6.2)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "fabric (==2.6.0)", "flake8 (==4.0.1)", "mock (==4.0.3)", "pandas (>=1.3.5,<1.5)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-rerunfailures (==10.2)", "pytest-timeout (==2.1.0)", "pytest-xdist (==2.4.0)", "pyvis (==0.2.1)", "requests (==2.27.1)", "sagemaker-experiments (==0.1.35)", "scikit-learn (==1.0.2)", "scipy (==1.7.3)", "stopit (==1.1.2)", "tox (==3.24.5)", "urllib3 (==1.26.8)"]
 
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 name = "schema"
@@ -425,6 +842,10 @@ description = "Simple data validation library"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+    {file = "schema-0.7.5.tar.gz", hash = "sha256:f06717112c61895cabc4707752b88716e8420a8819d71404501e114f91043197"},
+]
 
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 contextlib2 = ">=0.5.5"
@@ -436,6 +857,10 @@ description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
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+]
 
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 name = "smdebug-rulesconfig"
@@ -444,6 +869,22 @@ description = "SMDebug RulesConfig"
 category = "main"
 optional = false
 python-versions = ">=2.7"
+files = [
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+
+[[package]]
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+description = "Traceback serialization library."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
 
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 name = "tomli"
@@ -452,6 +893,10 @@ description = "A lil' TOML parser"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
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 name = "typeguard"
@@ -460,6 +905,10 @@ description = "Run-time type checker for Python"
 category = "main"
 optional = false
 python-versions = ">=3.5.3"
+files = [
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+]
 
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@@ -467,19 +916,39 @@ test = ["mypy", "pytest", "typing-extensions"]
 
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+version = "4.5.0"
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+]
+
+[[package]]
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+version = "2023.3"
+description = "Provider of IANA time zone data"
+category = "main"
+optional = false
+python-versions = ">=2"
+files = [
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+]
 
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 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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@@ -488,296 +957,21 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
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+version = "3.15.0"
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 python-versions = ">=3.7"
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-    {file = "protobuf-3.20.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:de78575669dddf6099a8a0f46a27e82a1783c557ccc38ee620ed8cc96d3be7d7"},
-    {file = "protobuf-3.20.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:f4c42102bc82a51108e449cbb32b19b180022941c727bac0cfd50170341f16ee"},
-    {file = "protobuf-3.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:44246bab5dd4b7fbd3c0c80b6f16686808fab0e4aca819ade6e8d294a29c7050"},
-    {file = "protobuf-3.20.3-cp38-cp38-win32.whl", hash = "sha256:c02ce36ec760252242a33967d51c289fd0e1c0e6e5cc9397e2279177716add86"},
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-    {file = "protobuf-3.20.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:398a9e0c3eaceb34ec1aee71894ca3299605fa8e761544934378bbc6c97de23b"},
-    {file = "protobuf-3.20.3-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:bf01b5720be110540be4286e791db73f84a2b721072a3711efff6c324cdf074b"},
-    {file = "protobuf-3.20.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:daa564862dd0d39c00f8086f88700fdbe8bc717e993a21e90711acfed02f2402"},
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-    {file = "protobuf-3.20.3-cp39-cp39-win_amd64.whl", hash = "sha256:03038ac1cfbc41aa21f6afcbcd357281d7521b4157926f30ebecc8d4ea59dcb7"},
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-    {file = "protobuf-3.20.3.tar.gz", hash = "sha256:2e3427429c9cffebf259491be0af70189607f365c2f41c7c3764af6f337105f2"},
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-protobuf3-to-dict = [
-    {file = "protobuf3-to-dict-0.1.5.tar.gz", hash = "sha256:1e42c25b5afb5868e3a9b1962811077e492c17557f9c66f0fe40d821375d2b5a"},
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-]
-python-dateutil = [
-    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
-    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
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-pytz = [
-    {file = "pytz-2022.5-py2.py3-none-any.whl", hash = "sha256:335ab46900b1465e714b4fda4963d87363264eb662aab5e65da039c25f1f5b22"},
-    {file = "pytz-2022.5.tar.gz", hash = "sha256:c4d88f472f54d615e9cd582a5004d1e5f624854a6a27a6211591c251f22a6914"},
-]
-s3transfer = [
-    {file = "s3transfer-0.6.0-py3-none-any.whl", hash = "sha256:06176b74f3a15f61f1b4f25a1fc29a4429040b7647133a463da8fa5bd28d5ecd"},
-    {file = "s3transfer-0.6.0.tar.gz", hash = "sha256:2ed07d3866f523cc561bf4a00fc5535827981b117dd7876f036b0c1aca42c947"},
-]
-sagemaker = [
-    {file = "sagemaker-2.113.0.tar.gz", hash = "sha256:42dac2361fe8e82db802a51a226469ce7d6db8a18d15378f45eb032e80da35aa"},
-]
-schema = [
-    {file = "schema-0.7.5-py2.py3-none-any.whl", hash = "sha256:f3ffdeeada09ec34bf40d7d79996d9f7175db93b7a5065de0faa7f41083c1e6c"},
-    {file = "schema-0.7.5.tar.gz", hash = "sha256:f06717112c61895cabc4707752b88716e8420a8819d71404501e114f91043197"},
-]
-six = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
-]
-smdebug-rulesconfig = [
-    {file = "smdebug_rulesconfig-1.0.1-py2.py3-none-any.whl", hash = "sha256:104da3e6931ecf879dfc687ca4bbb3bee5ea2bc27f4478e9dbb3ee3655f1ae61"},
-    {file = "smdebug_rulesconfig-1.0.1.tar.gz", hash = "sha256:7a19e6eb2e6bcfefbc07e4a86ef7a88f32495001a038bf28c7d8e77ab793fcd6"},
-]
-tomli = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-typeguard = [
-    {file = "typeguard-2.13.3-py3-none-any.whl", hash = "sha256:5e3e3be01e887e7eafae5af63d1f36c849aaa94e3a0112097312aabfa16284f1"},
-    {file = "typeguard-2.13.3.tar.gz", hash = "sha256:00edaa8da3a133674796cf5ea87d9f4b4c367d77476e185e80251cc13dfbb8c4"},
-]
-typing-extensions = [
-    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
-    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
-]
-urllib3 = [
-    {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
-    {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
-]
-zipp = [
-    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
-    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
-]
diff --git a/build_pipeline/requirements.txt b/build_pipeline/requirements.txt
index 484eb69..c2df074 100644
--- a/build_pipeline/requirements.txt
+++ b/build_pipeline/requirements.txt
@@ -1,35 +1,45 @@
-attrs==22.1.0 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-lib==2.47.0 ; python_version >= "3.9" and python_version < "4.0"
-boto3==1.24.96 ; python_version >= "3.9" and python_version < "4.0"
-botocore==1.27.96 ; python_version >= "3.9" and python_version < "4.0"
+attrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-awscli-v1==2.2.173 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-kubectl-v20==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-node-proxy-agent-v5==2.0.146 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-lib==2.79.1 ; python_version >= "3.9" and python_version < "4.0"
+boto3==1.26.133 ; python_version >= "3.9" and python_version < "4.0"
+botocore==1.29.133 ; python_version >= "3.9" and python_version < "4.0"
 cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
-constructs==10.1.137 ; python_version >= "3.9" and python_version < "4.0"
+cloudpickle==2.2.1 ; python_version >= "3.9" and python_version < "4.0"
+constructs==10.2.24 ; python_version >= "3.9" and python_version < "4.0"
 contextlib2==21.6.0 ; python_version >= "3.9" and python_version < "4.0"
-dill==0.3.5.1 ; python_version >= "3.9" and python_version < "4.0"
-exceptiongroup==1.0.0rc9 ; python_version >= "3.9" and python_version < "3.11"
+dill==0.3.6 ; python_version >= "3.9" and python_version < "4.0"
+exceptiongroup==1.1.1 ; python_version >= "3.9" and python_version < "3.11"
 google-pasta==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
 importlib-metadata==4.13.0 ; python_version >= "3.9" and python_version < "4.0"
+importlib-resources==5.12.0 ; python_version >= "3.9" and python_version < "4.0"
 jmespath==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
-jsii==1.70.0 ; python_version >= "3.9" and python_version < "4.0"
-multiprocess==0.70.13 ; python_version >= "3.9" and python_version < "4.0"
-numpy==1.23.4 ; python_version >= "3.9" and python_version < "4.0"
-packaging==21.3 ; python_version >= "3.9" and python_version < "4.0"
-pandas==1.5.1 ; python_version >= "3.9" and python_version < "4.0"
-pathos==0.2.9 ; python_version >= "3.9" and python_version < "4.0"
-pox==0.3.1 ; python_version >= "3.9" and python_version < "4.0"
-ppft==1.7.6.5 ; python_version >= "3.9" and python_version < "4.0"
+jsii==1.81.0 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema==4.17.3 ; python_version >= "3.9" and python_version < "4.0"
+multiprocess==0.70.14 ; python_version >= "3.9" and python_version < "4.0"
+numpy==1.24.3 ; python_version >= "3.9" and python_version < "4.0"
+packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
+pandas==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
+pathos==0.3.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==3.5.1 ; python_version >= "3.9" and python_version < "4.0"
+pox==0.3.2 ; python_version >= "3.9" and python_version < "4.0"
+ppft==1.7.6.6 ; python_version >= "3.9" and python_version < "4.0"
 protobuf3-to-dict==0.1.5 ; python_version >= "3.9" and python_version < "4.0"
 protobuf==3.20.3 ; python_version >= "3.9" and python_version < "4.0"
 publication==0.0.3 ; python_version >= "3.9" and python_version < "4.0"
-pyparsing==3.0.9 ; python_version >= "3.9" and python_version < "4.0"
+pyrsistent==0.19.3 ; python_version >= "3.9" and python_version < "4.0"
 python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
-pytz==2022.5 ; python_version >= "3.9" and python_version < "4.0"
-s3transfer==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
-sagemaker==2.113.0 ; python_version >= "3.9" and python_version < "4.0"
+pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+pyyaml==5.4.1 ; python_version >= "3.9" and python_version < "4.0"
+s3transfer==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
+sagemaker==2.154.0 ; python_version >= "3.9" and python_version < "4.0"
 schema==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
 smdebug-rulesconfig==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
+tblib==1.7.0 ; python_version >= "3.9" and python_version < "4.0"
 typeguard==2.13.3 ; python_version >= "3.9" and python_version < "4.0"
-typing-extensions==4.4.0 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==1.26.12 ; python_version >= "3.9" and python_version < "4"
-zipp==3.9.0 ; python_version >= "3.9" and python_version < "4.0"
+typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "4.0"
+tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==1.26.15 ; python_version >= "3.9" and python_version < "4.0"
+zipp==3.15.0 ; python_version >= "3.9" and python_version < "4.0"
diff --git a/build_pipeline/visualizer.py b/build_pipeline/visualizer.py
new file mode 100644
index 0000000..8e3d70c
--- /dev/null
+++ b/build_pipeline/visualizer.py
@@ -0,0 +1,165 @@
+import os
+
+import matplotlib.pyplot as plt
+import numpy as np
+import sagemaker
+from matplotlib.colors import rgb2hex
+from pyvis.network import Network
+
+sagemaker_session = sagemaker.Session()
+sm_client = sagemaker_session.sagemaker_client
+
+cmap = plt.get_cmap("Pastel2")
+names = [
+    "Approval",
+    "DataSet",
+    "Endpoint",
+    "Image",
+    "Model",
+    "ModelGroup",
+    "ModelDeployment",
+    "ProcessingJob",
+    "TrainingJob",
+]
+colors = {
+    name: rgb2hex(color)
+    for name, color in zip(names, cmap(np.linspace(0, 1, len(names))))
+}
+
+
+def create_legend_notes(net):
+    # Add Legend Nodes
+    step = 50
+    x = -500
+    y = -250
+    legend_nodes = [
+        dict(
+            n_id=legend_node,
+            label=label,
+            # group=legend_node,
+            physics=False,
+            size=30,
+            x=x,
+            y=f"{y + legend_node*step}px",
+            shape="box",
+            font={"size": 20},
+            color=colors[label],
+            )
+        for legend_node, label in enumerate(names)
+    ]
+    # print(legend_nodes)
+    [net.add_node(**node) for node in legend_nodes]
+
+    return
+
+
+class Visualizer:
+    def __init__(self):
+        self.directory = "generated"
+        if not os.path.exists(self.directory):
+            os.makedirs(self.directory)
+
+    def render(self, query_lineage_response, scenario_name, height=600, width=1000):
+        net = self.get_network(height=height, width=width)
+        for vertex in query_lineage_response["Vertices"]:
+            arn, label, name, title, lineage_type = self.process_vertex(vertex)
+            if name.startswith("s3://"):
+                name = f"{name.split('/')[-1]}\n{name}"
+
+            net.add_node(
+                arn,
+                label=label + "\n" + lineage_type,
+                title=name if name else title,
+                shape="circle",
+                color=colors[label],
+            )
+
+        create_legend_notes(net)
+
+        for edge in query_lineage_response["Edges"]:
+            source = edge["SourceArn"]
+            dest = edge["DestinationArn"]
+            net.add_edge(dest, source)
+
+        return net.show(f"{self.directory}/{scenario_name}.html")
+
+    def get_title(self, arn):
+        return f"Arn: {arn}"
+
+    def get_name(self, arn, lineage_type=None):
+        name = arn.split("/")[1]
+        return name
+
+    def process_vertex(self, vertex):
+        arn = vertex["Arn"]
+        if "Type" in vertex:
+            label = vertex["Type"]
+        else:
+            label = None
+        lineage_type = vertex["LineageType"]
+        name = arn.split("/")[1]
+        if lineage_type in ["Artifact", "DataSet"]:
+            name = (
+                sm_client.describe_artifact(ArtifactArn=arn)
+                .get("Source")
+                .get("SourceUri")
+            )
+            if isinstance(name, list):
+                name = name[0]
+            if name.startswith("arn"):
+                name = name.split("/")[1]
+
+        title = f"Artifact Arn: {arn}"
+        return arn, label, name, title, lineage_type
+
+    def get_network(self, height: int = 600, width: int = 1000):
+        net = Network(
+            height=f"{height}px",
+            width=f"{width}px",
+            directed=True,
+            notebook=True,
+            cdn_resources="in_line",
+        )
+        net.set_options(
+            """
+        var options = {
+  "nodes": {
+    "borderWidth": 3,
+    "shadow": {
+      "enabled": true
+    },
+    "shapeProperties": {
+      "borderRadius": 3
+    },
+    "size": 11,
+    "shape": "circle"
+  },
+  "edges": {
+    "arrows": {
+      "to": {
+        "enabled": true
+      }
+    },
+    "color": {
+      "inherit": true
+    },
+    "smooth": false
+  },
+  "layout": {
+    "hierarchical": {
+      "enabled": false,
+      "direction": "LR",
+      "sortMethod": "directed"
+    }
+  },
+  "physics": {
+    "hierarchicalRepulsion": {
+      "centralGravity": 0
+    },
+    "minVelocity": 0.75,
+    "solver": "hierarchicalRepulsion"
+  }
+}
+        """
+        )
+        return net
diff --git a/deployment_pipeline/app.py b/deployment_pipeline/app.py
index bbf65d7..c811e86 100644
--- a/deployment_pipeline/app.py
+++ b/deployment_pipeline/app.py
@@ -27,7 +27,7 @@ def create_endpoint(
 ):
 
     # Define variables for passing down to stacks
-    endpoint_name = f"sagemaker-{project_name}-{stage_name}"
+    endpoint_name = f"{project_name}-{stage_name}"
     if len(endpoint_name) > 63:
         raise Exception(
             f"SageMaker endpoint: {endpoint_name} must be less than 64 characters"
@@ -50,7 +50,7 @@ def create_endpoint(
     package_group_name = project_name
 
     # If we don't have a specific champion variant defined, get the latest approved
-    if deployment_config.variant_config is None:
+    if deployment_config.variant_config.model_package_version is None:
         logger.info("Selecting latest approved")
         p = registry.get_latest_approved_packages(package_group_name, max_results=1)[0]
         deployment_config.variant_config = VariantConfig(
@@ -59,6 +59,8 @@ def create_endpoint(
             initial_variant_weight=1,
             instance_count=deployment_config.instance_count,
             instance_type=deployment_config.instance_type,
+            variant_name=deployment_config.variant_config.variant_name
+            or f"{package_group_name}-LatestApproved",
         )
     else:
         # Get the versioned package and update ARN
@@ -73,10 +75,10 @@ def create_endpoint(
     baseline_uri = registry.get_data_check_baseline_uri(p["ModelPackageArn"])
     logger.info(f"Got baseline uri: {baseline_uri}")
 
-    data_capture_uri = f"s3://{artifact_bucket}/{project_id}/datacapture"
+    data_capture_uri = f"s3://{artifact_bucket}/monitoring/datacapture"
     logger.info(f"Got data capture uri: {data_capture_uri}")
 
-    reporting_uri = f"s3://{artifact_bucket}/{project_id}/monitoring"
+    reporting_uri = f"s3://{artifact_bucket}/monitoring/reports"
     logger.info(f"Got reporting uri: {reporting_uri}")
 
     stack_synthesizer = cdk.DefaultStackSynthesizer(
@@ -146,5 +148,5 @@ def main(
         default=os.environ.get("ARTIFACT_BUCKET"),
     )
     args = vars(parser.parse_args())
-    print("args: {}".format(args))
+    logger.info("args: {}".format(args))
     main(**args)
diff --git a/deployment_pipeline/buildspec.yml b/deployment_pipeline/buildspec.yml
index e10f901..54e8bf3 100644
--- a/deployment_pipeline/buildspec.yml
+++ b/deployment_pipeline/buildspec.yml
@@ -5,7 +5,7 @@ phases:
       nodejs: '16'
       python: '3.9'
     commands:
-    - npm install aws-cdk@2.46.0
+    - npm install aws-cdk@2.62.2
     - npm update
     - python -m pip install -r requirements.txt
   build:
diff --git a/deployment_pipeline/cdk.json b/deployment_pipeline/cdk.json
index 3a1004a..ddbb4d5 100644
--- a/deployment_pipeline/cdk.json
+++ b/deployment_pipeline/cdk.json
@@ -1,5 +1,5 @@
 {
   "app": "python3 app.py",
-  "context": {
-  }
-}
+  "context": {},
+  "versionReporting": false
+}
\ No newline at end of file
diff --git a/deployment_pipeline/infra/deployment_config.py b/deployment_pipeline/infra/deployment_config.py
index eded421..c255edc 100644
--- a/deployment_pipeline/infra/deployment_config.py
+++ b/deployment_pipeline/infra/deployment_config.py
@@ -7,7 +7,7 @@ def __init__(self, instance_count: int = 1, instance_type: str = "ml.t2.medium")
 class VariantConfig(InstanceConfig):
     def __init__(
         self,
-        model_package_version: str,
+        model_package_version: str = None,
         initial_variant_weight: float = 1.0,
         variant_name: str = None,
         instance_count: int = 1,
@@ -72,7 +72,7 @@ def __init__(
         schedule_config: ScheduleConfig = None,
     ):
         self.stage_name = stage_name
-        if type(variant_config) is dict:
+        if isinstance(variant_config, dict):
             self.variant_config = VariantConfig(
                 **{
                     "instance_count": instance_count,
@@ -82,11 +82,11 @@ def __init__(
             )
         else:
             self.variant_config = None
-        if type(auto_scaling) is dict:
+        if isinstance(auto_scaling, dict):
             self.auto_scaling = AutoScalingConfig(**auto_scaling)
         else:
             self.auto_scaling = None
-        if type(schedule_config) is dict:
+        if isinstance(schedule_config, dict):
             self.schedule_config = ScheduleConfig(**schedule_config)
         else:
             self.schedule_config = None
diff --git a/deployment_pipeline/infra/model_registry.py b/deployment_pipeline/infra/model_registry.py
index e0eaa0c..9df3f57 100644
--- a/deployment_pipeline/infra/model_registry.py
+++ b/deployment_pipeline/infra/model_registry.py
@@ -165,7 +165,10 @@ def get_versioned_approved_packages(
 
             # Return error if no packages found
             if len(model_packages) == 0:
-                error_message = f"No approved packages found for: {model_package_group_name} and versions: {model_package_versions}"
+                error_message = (
+                    f"No approved packages found for: {model_package_group_name} "
+                    f"and versions: {model_package_versions}"
+                )
                 logger.error(error_message)
                 raise Exception(error_message)
 
@@ -200,30 +203,17 @@ def select_versioned_packages(
             ]
         return filtered_packages
 
-    def get_pipeline_execution_arn(self, model_package_arn: str):
-        """Get the execution arn for the latest approved model package
-
-        Args:
-            model_package_arn: The arn of the model package
-
-        Returns:
-            The arn of the sagemaker pipeline that created the model package.
-        """
-
-        artifact_arn = self.sm_client.list_artifacts(SourceUri=model_package_arn)[
-            "ArtifactSummaries"
-        ][0]["ArtifactArn"]
-        return self.sm_client.describe_artifact(ArtifactArn=artifact_arn)[
-            "MetadataProperties"
-        ]["GeneratedBy"]
-
-
     def get_data_check_baseline_uri(self, model_package_arn: str):
         try:
-            model_details = self.sm_client.describe_model_package(ModelPackageName=model_package_arn)
-            print(model_details)
-            baseline_uri = model_details['DriftCheckBaselines']['ModelDataQuality']['Constraints']['S3Uri']
-            baseline_uri = baseline_uri.replace('/constraints.json','') # returning the folder containing constraints and statistics
+            model_details = self.sm_client.describe_model_package(
+                ModelPackageName=model_package_arn
+            )
+            logger.info(model_details)
+            baseline_uri = model_details["DriftCheckBaselines"]["ModelDataQuality"][
+                "Constraints"
+            ]["S3Uri"]
+            # returning the folder containing constraints and statistics
+            baseline_uri = baseline_uri.replace("/constraints.json", "")
             return baseline_uri
         except ClientError as e:
             error_message = e.response["Error"]["Message"]
diff --git a/deployment_pipeline/infra/sagemaker_lineage_utils.py b/deployment_pipeline/infra/sagemaker_lineage_utils.py
new file mode 100644
index 0000000..d987a29
--- /dev/null
+++ b/deployment_pipeline/infra/sagemaker_lineage_utils.py
@@ -0,0 +1,47 @@
+import logging
+import os
+
+import aws_cdk as cdk
+import boto3
+import sagemaker
+from sagemaker.lineage.artifact import Artifact, ModelArtifact
+from sagemaker.lineage.context import Context, EndpointContext
+
+logger = logging.getLogger(__name__)
+
+region = os.getenv("AWS_REGION")
+boto_session = boto3.Session(region_name=region)
+sagemaker_session = sagemaker.Session(
+    boto_session=boto_session,
+)
+
+
+def get_pipeline_arn_from_endpoint(endpoint_name: str):
+    logger.info(f"Endpoint: {endpoint_name}")
+    endpoint_arn = f"arn:aws:sagemaker:{cdk.Aws.REGION}:{cdk.Aws.ACCOUNT_ID}:endpoint/{endpoint_name}"  # noqa: E501
+
+    contexts = Context.list(
+        source_uri=endpoint_arn,
+        sagemaker_session=sagemaker_session,
+    )
+    context_name = list(contexts)[0].context_name
+    endpoint_context = EndpointContext.load(context_name=context_name)
+    pipeline_arn = endpoint_context.pipeline_execution_arn().split("/execution")[0]
+
+    logger.info(f"It was created by an execution of SageMaker Pipeline {pipeline_arn}")
+
+    return pipeline_arn
+
+
+def get_pipeline_arn_from_model(model_package_arn: str):
+    logger.info(f"Model version ARN: {model_package_arn}")
+    model_artifact_summary = list(Artifact.list(source_uri=model_package_arn))[0]
+    model_artifact = ModelArtifact.load(
+        artifact_arn=model_artifact_summary.artifact_arn
+    )
+
+    pipeline_arn = model_artifact.pipeline_execution_arn().split("/execution")[0]
+
+    logger.info(f"It was created by an execution of SageMaker Pipeline {pipeline_arn}")
+
+    return pipeline_arn
diff --git a/deployment_pipeline/infra/sagemaker_pipelines_event_target.py b/deployment_pipeline/infra/sagemaker_pipelines_event_target.py
new file mode 100644
index 0000000..540bee0
--- /dev/null
+++ b/deployment_pipeline/infra/sagemaker_pipelines_event_target.py
@@ -0,0 +1,45 @@
+import aws_cdk as cdk
+from aws_cdk import aws_events as events
+from aws_cdk import aws_iam as iam
+
+
+def add_sagemaker_pipeline_target(
+    rule: events.Rule,
+    event_role: iam.Role,
+    sagemaker_pipeline_arn: str,
+    pipeline_parameters: dict = None,
+    target_id: str = None,
+) -> None:
+    """
+    [custom target](https://github.com/aws/aws-cdk/issues/14887)
+
+    Args:
+        rule (events.Rule): The event rule to add Target
+        event_role (iam.Role): The event role
+        sagemaker_pipeline_arn (str): The SageMaker Pipeline ARN
+        pipeline_parameters (dict): dictionary with the pipeline parameters
+    """
+    if target_id is None:
+        target_id = cdk.Fn.split(
+            delimiter="/",
+            source=sagemaker_pipeline_arn,
+            assumed_length=2,
+        )[1]
+
+    sagemaker_pipeline_target = {
+        "Arn": sagemaker_pipeline_arn,
+        "Id": target_id,
+        "RoleArn": event_role.role_arn,
+    }
+    if pipeline_parameters is not None:
+        parameters_list = [
+            {"Name": k, "Value": o} for k, o in pipeline_parameters.items()
+        ]
+
+        sagemaker_pipeline_target = {
+            **sagemaker_pipeline_target,
+            "SageMakerPipelineParameters": {"PipelineParameterList": parameters_list},
+        }
+
+    child = rule.node.default_child
+    child.add_property_override("Targets", [sagemaker_pipeline_target])
diff --git a/deployment_pipeline/infra/sagemaker_service_catalog_roles_construct.py b/deployment_pipeline/infra/sagemaker_service_catalog_roles_construct.py
new file mode 100644
index 0000000..7f791f8
--- /dev/null
+++ b/deployment_pipeline/infra/sagemaker_service_catalog_roles_construct.py
@@ -0,0 +1,95 @@
+import aws_cdk as cdk
+import aws_cdk.aws_iam as iam
+from constructs import Construct
+
+
+class SageMakerSCRoles(Construct):
+    def __init__(
+        self, scope: Construct, construct_id: str, mutable: bool = True, **kwargs
+    ):
+        super().__init__(scope, construct_id, **kwargs)
+
+        self.execution_role = iam.Role.from_role_arn(
+            self,
+            "SMModelDeploymentRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsExecutionRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.events_role = iam.Role.from_role_arn(
+            self,
+            "SMEventsRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsEventsRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.code_build_role = iam.Role.from_role_arn(
+            self,
+            "SMCodeBuildRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsCodeBuildRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.code_pipeline_role = iam.Role.from_role_arn(
+            self,
+            "SMCodePipelineRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsCodePipelineRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.lambda_role = iam.Role.from_role_arn(
+            self,
+            "SMLambdaRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsLambdaRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.api_gw_role = iam.Role.from_role_arn(
+            self,
+            "SMApiGatewayRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsApiGatewayRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.firehose_role = iam.Role.from_role_arn(
+            self,
+            "SMFirehoseRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsFirehoseRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.glue_role = iam.Role.from_role_arn(
+            self,
+            "SMGlueRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsGlueRole"
+            ),
+            mutable=mutable,
+        )
+
+        self.cloudformation_role = iam.Role.from_role_arn(
+            self,
+            "SMCloudformationRole",
+            role_arn=format_role(
+                role_name="AmazonSageMakerServiceCatalogProductsCloudformationRole"
+            ),
+            mutable=mutable,
+        )
+
+
+def format_role(role_name: str):
+    return f"arn:aws:iam::{cdk.Aws.ACCOUNT_ID}:role/service-role/{role_name}"
diff --git a/deployment_pipeline/infra/sagemaker_stack.py b/deployment_pipeline/infra/sagemaker_stack.py
index 0c5b252..a8c0f50 100644
--- a/deployment_pipeline/infra/sagemaker_stack.py
+++ b/deployment_pipeline/infra/sagemaker_stack.py
@@ -3,9 +3,15 @@
 import aws_cdk as cdk
 from aws_cdk import aws_applicationautoscaling as applicationautoscaling
 from aws_cdk import aws_cloudwatch as cloudwatch
+from aws_cdk import aws_events as events
 from aws_cdk import aws_sagemaker as sagemaker
+from aws_cdk.aws_sagemaker import CfnEndpointConfig
 from constructs import Construct
 
+from infra.sagemaker_lineage_utils import get_pipeline_arn_from_model
+from infra.sagemaker_pipelines_event_target import add_sagemaker_pipeline_target
+from infra.sagemaker_service_catalog_roles_construct import SageMakerSCRoles
+
 logger = logging.getLogger(__name__)
 
 
@@ -25,7 +31,8 @@ def __init__(
     ) -> None:
         super().__init__(scope, construct_id, **kwargs)
 
-        # Select the variant config and name - needs to be same for updating Endpoint or Autoscaling deregister fails
+        # Select the variant config and name - needs to be same for updating Endpoint
+        # or Autoscaling deregister fails
         # see: https://docs.aws.amazon.com/sagemaker/latest/dg/endpoint-scaling.html
         variant_config = deployment_config.variant_config
         variant_name = variant_config.variant_name or "LatestApproved"
@@ -41,7 +48,7 @@ def __init__(
         )
 
         # Create the production variant
-        model_variant = sagemaker.CfnEndpointConfig.ProductionVariantProperty(
+        model_variant = CfnEndpointConfig.ProductionVariantProperty(
             initial_instance_count=variant_config.instance_count,
             initial_variant_weight=variant_config.initial_variant_weight,
             instance_type=variant_config.instance_type,
@@ -49,7 +56,7 @@ def __init__(
             variant_name=variant_name,
         )
 
-        endpoint_config = sagemaker.CfnEndpointConfig(
+        endpoint_config = CfnEndpointConfig(
             self,
             "EndpointConfig",
             production_variants=[model_variant],
@@ -57,19 +64,15 @@ def __init__(
 
         # Enable data capture for scheduling
         if deployment_config.schedule_config is not None:
-            endpoint_config.data_capture_config = sagemaker.CfnEndpointConfig.DataCaptureConfigProperty(
+            endpoint_config.data_capture_config = CfnEndpointConfig.DataCaptureConfigProperty(  # noqa: E501
                 enable_capture=True,
                 destination_s3_uri=data_capture_uri,
                 initial_sampling_percentage=deployment_config.schedule_config.data_capture_sampling_percentage,
                 capture_options=[
-                    sagemaker.CfnEndpointConfig.CaptureOptionProperty(
-                        capture_mode="Input"
-                    ),
-                    sagemaker.CfnEndpointConfig.CaptureOptionProperty(
-                        capture_mode="Output"
-                    ),
+                    CfnEndpointConfig.CaptureOptionProperty(capture_mode="Input"),
+                    CfnEndpointConfig.CaptureOptionProperty(capture_mode="Output"),
                 ],
-                capture_content_type_header=sagemaker.CfnEndpointConfig.CaptureContentTypeHeaderProperty(
+                capture_content_type_header=CfnEndpointConfig.CaptureContentTypeHeaderProperty(
                     csv_content_types=["text/csv"],
                     json_content_types=["application/json"],
                 ),
@@ -141,7 +144,7 @@ def __init__(
                 ),
                 tags=tags,
             )
-            monitoring_schedule.add_depends_on(endpoint)
+            monitoring_schedule.add_dependency(endpoint)
 
             drift_alarm = cloudwatch.CfnAlarm(
                 self,
@@ -165,7 +168,40 @@ def __init__(
                 datapoints_to_alarm=deployment_config.schedule_config.datapoints_to_alarm,
                 statistic=deployment_config.schedule_config.statistic,
             )
-            drift_alarm.add_depends_on(monitoring_schedule)
+            drift_alarm.add_dependency(monitoring_schedule)
+
+            ### add rule to run build pipeline
+            # Run the pipeline if data drift is detected
+            drift_rule_name = f"sagemaker-{endpoint_name}-drift-{construct_id}"
+            drift_rule = events.Rule(
+                self,
+                "DriftRule",
+                enabled=True,
+                description="Rule to start SM pipeline when drift has been detected.",
+                rule_name=drift_rule_name,
+                event_pattern=events.EventPattern(
+                    source=["aws.cloudwatch"],
+                    detail_type=["CloudWatch Alarm State Change"],
+                    detail={
+                        "alarmName": [
+                            drift_alarm.alarm_name,
+                        ],
+                        "state": {"value": ["ALARM"]},
+                    },
+                ),
+            )
+
+            sm_roles = SageMakerSCRoles(self, "SmRoles", mutable=False)
+            event_role = sm_roles.events_role
+
+            pipeline_arn = get_pipeline_arn_from_model(
+                model_package_arn=variant_config.model_package_arn
+            )
+            add_sagemaker_pipeline_target(
+                drift_rule,
+                event_role=event_role,
+                sagemaker_pipeline_arn=pipeline_arn,
+            )
 
         if deployment_config.auto_scaling is not None:
             resource_id = f"endpoint/{endpoint_name}/variant/{variant_name}"
@@ -180,7 +216,7 @@ def __init__(
                 scalable_dimension="sagemaker:variant:DesiredInstanceCount",
                 service_namespace="sagemaker",
             )
-            scalable_target.add_depends_on(endpoint)
+            scalable_target.add_dependency(endpoint)
 
             scaling_policy = applicationautoscaling.CfnScalingPolicy(
                 self,
@@ -189,7 +225,7 @@ def __init__(
                 policy_type="TargetTrackingScaling",
                 resource_id=resource_id,
                 scalable_dimension="sagemaker:variant:DesiredInstanceCount",
-                service_namespace="sagemaker",  # Note: This is different to scaling above
+                service_namespace="sagemaker",  # Note: different to scaling above
                 target_tracking_scaling_policy_configuration=applicationautoscaling.CfnScalingPolicy.TargetTrackingScalingPolicyConfigurationProperty(
                     target_value=deployment_config.auto_scaling.target_value,
                     scale_in_cooldown=deployment_config.auto_scaling.scale_in_cooldown,
@@ -199,7 +235,7 @@ def __init__(
                     ),
                 ),
             )
-            scaling_policy.add_depends_on(scalable_target)
+            scaling_policy.add_dependency(scalable_target)
 
             # TODO: Add cloud watch alarm
 
diff --git a/deployment_pipeline/poetry.lock b/deployment_pipeline/poetry.lock
index 1bca843..8eb3130 100644
--- a/deployment_pipeline/poetry.lock
+++ b/deployment_pipeline/poetry.lock
@@ -1,27 +1,38 @@
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+
 [[package]]
 name = "attrs"
-version = "22.1.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "aws-cdk-asset-awscli-v1"
-version = "2.2.11"
+version = "2.2.173"
 description = "A library that contains the AWS CLI for use in Lambda Layers"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-awscli-v1-2.2.173.tar.gz", hash = "sha256:8fbda70421638a0cbe66386e1977c1deb9562881ab1e46b6145ad66c266e2a38"},
+    {file = "aws_cdk.asset_awscli_v1-2.2.173-py3-none-any.whl", hash = "sha256:c6a0590a31284bc9fc586f00765d73526ab99817d3547e25597cd3d18bc2e9f3"},
+]
 
 [package.dependencies]
-jsii = ">=1.71.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
@@ -32,6 +43,10 @@ description = "A library that contains kubectl for use in Lambda Layers"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-kubectl-v20-2.1.1.tar.gz", hash = "sha256:9834cdb150c5590aea4e5eba6de2a89b4c60617451181c524810c5a75154565c"},
+    {file = "aws_cdk.asset_kubectl_v20-2.1.1-py3-none-any.whl", hash = "sha256:a2fad1a5a35a94a465efe60859f91e45dacc33261fb9bbf1cf9bbc6e2f70e9d6"},
+]
 
 [package.dependencies]
 jsii = ">=1.70.0,<2.0.0"
@@ -40,41 +55,63 @@ typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "aws-cdk-asset-node-proxy-agent-v5"
-version = "2.0.17"
+version = "2.0.146"
 description = "@aws-cdk/asset-node-proxy-agent-v5"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk.asset-node-proxy-agent-v5-2.0.146.tar.gz", hash = "sha256:9aac36a3f69e9d7d99fc403192be41369ff0d0307a3e4c028a3a70e0108ac63c"},
+    {file = "aws_cdk.asset_node_proxy_agent_v5-2.0.146-py3-none-any.whl", hash = "sha256:cec187b3e2db5f90839598511c002bb4fda1d1728b81ebcae58c13c901681583"},
+]
 
 [package.dependencies]
-jsii = ">=1.71.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "aws-cdk-lib"
-version = "2.51.0"
+version = "2.79.1"
 description = "Version 2 of the AWS Cloud Development Kit library"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "aws-cdk-lib-2.79.1.tar.gz", hash = "sha256:7d88118827ed42025c7b661547b38c54b89afef2cd54214459df51104a1034c3"},
+    {file = "aws_cdk_lib-2.79.1-py3-none-any.whl", hash = "sha256:89f51117cc9c2cb2561605fdd5641ceb705ebe0185276dab799193783a70123b"},
+]
 
 [package.dependencies]
-"aws-cdk.asset-awscli-v1" = ">=2.2.9,<3.0.0"
+"aws-cdk.asset-awscli-v1" = ">=2.2.165,<3.0.0"
 "aws-cdk.asset-kubectl-v20" = ">=2.1.1,<3.0.0"
-"aws-cdk.asset-node-proxy-agent-v5" = ">=2.0.15,<3.0.0"
+"aws-cdk.asset-node-proxy-agent-v5" = ">=2.0.139,<3.0.0"
 constructs = ">=10.0.0,<11.0.0"
-jsii = ">=1.71.0,<2.0.0"
+jsii = ">=1.80.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "black"
-version = "22.10.0"
+version = "22.12.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"},
+    {file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"},
+    {file = "black-22.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d30b212bffeb1e252b31dd269dfae69dd17e06d92b87ad26e23890f3efea366f"},
+    {file = "black-22.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:7412e75863aa5c5411886804678b7d083c7c28421210180d67dfd8cf1221e1f4"},
+    {file = "black-22.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c116eed0efb9ff870ded8b62fe9f28dd61ef6e9ddd28d83d7d264a38417dcee2"},
+    {file = "black-22.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1f58cbe16dfe8c12b7434e50ff889fa479072096d79f0a7f25e4ab8e94cd8350"},
+    {file = "black-22.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77d86c9f3db9b1bf6761244bc0b3572a546f5fe37917a044e02f3166d5aafa7d"},
+    {file = "black-22.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:82d9fe8fee3401e02e79767016b4907820a7dc28d70d137eb397b92ef3cc5bfc"},
+    {file = "black-22.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101c69b23df9b44247bd88e1d7e90154336ac4992502d4197bdac35dd7ee3320"},
+    {file = "black-22.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:559c7a1ba9a006226f09e4916060982fd27334ae1998e7a38b3f33a37f7a2148"},
+    {file = "black-22.12.0-py3-none-any.whl", hash = "sha256:436cc9167dd28040ad90d3b404aec22cedf24a6e4d7de221bec2730ec0c97bcf"},
+    {file = "black-22.12.0.tar.gz", hash = "sha256:229351e5a18ca30f447bf724d007f890f97e13af070bb6ad4c0a441cd7596a2f"},
+]
 
 [package.dependencies]
 click = ">=8.0.0"
@@ -92,14 +129,18 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.26.12"
+version = "1.26.133"
 description = "The AWS SDK for Python"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
+files = [
+    {file = "boto3-1.26.133-py3-none-any.whl", hash = "sha256:62285ecee7629a4388d55ae369536f759622d68d5b9a0ced7c58a0c1a409c0f7"},
+    {file = "boto3-1.26.133.tar.gz", hash = "sha256:8ff0af0b25266a01616396abc19eb34dc3d44bd867fa4158985924128b9034fb"},
+]
 
 [package.dependencies]
-botocore = ">=1.29.12,<1.30.0"
+botocore = ">=1.29.133,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -108,11 +149,15 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.29.12"
+version = "1.29.133"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = false
 python-versions = ">= 3.7"
+files = [
+    {file = "botocore-1.29.133-py3-none-any.whl", hash = "sha256:b266185d7414a559952569005009a400de50af91fd3da44f05cf05b00946c4a7"},
+    {file = "botocore-1.29.133.tar.gz", hash = "sha256:7b38e540f73c921d8cb0ac72794072000af9e10758c04ba7f53d5629cc52fa87"},
+]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
@@ -120,7 +165,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.14.0)"]
+crt = ["awscrt (==0.16.9)"]
 
 [[package]]
 name = "cattrs"
@@ -129,6 +174,10 @@ description = "Composable complex class support for attrs and dataclasses."
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "cattrs-22.2.0-py3-none-any.whl", hash = "sha256:bc12b1f0d000b9f9bee83335887d532a1d3e99a833d1bf0882151c97d3e68c21"},
+    {file = "cattrs-22.2.0.tar.gz", hash = "sha256:f0eed5642399423cf656e7b66ce92cdc5b963ecafd041d1b24d136fdde7acf6d"},
+]
 
 [package.dependencies]
 attrs = ">=20"
@@ -141,10 +190,26 @@ description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
+    {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
+]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "2.2.1"
+description = "Extended pickling support for Python objects"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"},
+    {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -152,38 +217,136 @@ description = "Cross-platform colored terminal text."
 category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
 
 [[package]]
 name = "constructs"
-version = "10.1.163"
+version = "10.2.24"
 description = "A programming model for software-defined state"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "constructs-10.2.24-py3-none-any.whl", hash = "sha256:590d2fd1f616ee027a698e479584997e3b6c206dc2746c26b8e47cceb33296c6"},
+    {file = "constructs-10.2.24.tar.gz", hash = "sha256:307abe5330dc81c1120d1876a4556d98b572abe85bb8c2b68bc7b6f18e359913"},
+]
 
 [package.dependencies]
-jsii = ">=1.71.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
+[[package]]
+name = "contextlib2"
+version = "21.6.0"
+description = "Backports and enhancements for the contextlib module"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
+    {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
+]
+
+[[package]]
+name = "dill"
+version = "0.3.6"
+description = "serialize all of python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "dill-0.3.6-py3-none-any.whl", hash = "sha256:a07ffd2351b8c678dfc4a856a3005f8067aea51d6ba6c700796a4d9e280f39f0"},
+    {file = "dill-0.3.6.tar.gz", hash = "sha256:e5db55f3687856d8fbdab002ed78544e1c4559a130302693d839dfe8f93f2373"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
 [[package]]
 name = "exceptiongroup"
-version = "1.0.4"
+version = "1.1.1"
 description = "Backport of PEP 654 (exception groups)"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"},
+    {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"},
+]
 
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "google-pasta"
+version = "0.2.0"
+description = "pasta is an AST-based Python refactoring library"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
+    {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
+    {file = "google_pasta-0.2.0-py2-none-any.whl", hash = "sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954"},
+    {file = "google_pasta-0.2.0-py3-none-any.whl", hash = "sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed"},
+]
+
+[package.dependencies]
+six = "*"
+
+[[package]]
+name = "importlib-metadata"
+version = "4.13.0"
+description = "Read metadata from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "importlib_metadata-4.13.0-py3-none-any.whl", hash = "sha256:8a8a81bcf996e74fee46f0d16bd3eaa382a7eb20fd82445c3ad11f4090334116"},
+    {file = "importlib_metadata-4.13.0.tar.gz", hash = "sha256:dd0173e8f150d6815e098fd354f6414b0f079af4644ddfe90c71e2fc6174346d"},
+]
+
+[package.dependencies]
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+perf = ["ipython"]
+testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
+
+[[package]]
+name = "importlib-resources"
+version = "5.12.0"
+description = "Read resources from Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"},
+    {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
 [[package]]
 name = "iniconfig"
-version = "1.1.1"
-description = "iniconfig: brain-dead simple config-ini parsing"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
+files = [
+    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
 
 [[package]]
 name = "jmespath"
@@ -192,61 +355,254 @@ description = "JSON Matching Expressions"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
+    {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
+]
 
 [[package]]
 name = "jsii"
-version = "1.71.0"
+version = "1.81.0"
 description = "Python client for jsii runtime"
 category = "main"
 optional = false
 python-versions = "~=3.7"
+files = [
+    {file = "jsii-1.81.0-py3-none-any.whl", hash = "sha256:6d12cd881053bafbac19d2a28fc616497479739784e017534e4cf128ff977b62"},
+    {file = "jsii-1.81.0.tar.gz", hash = "sha256:585f6bedd9b586f48ce058451d24f362ee52936179987dd897a100f5355f228f"},
+]
 
 [package.dependencies]
-attrs = ">=21.2,<23.0"
+attrs = ">=21.2,<24.0"
 cattrs = ">=1.8,<22.3"
+importlib-resources = ">=5.2.0"
 publication = ">=0.0.3"
 python-dateutil = "*"
 typeguard = ">=2.13.3,<2.14.0"
 typing-extensions = ">=3.7,<5.0"
 
+[[package]]
+name = "jsonschema"
+version = "4.17.3"
+description = "An implementation of JSON Schema validation for Python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
+    {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
+]
+
+[package.dependencies]
+attrs = ">=17.4.0"
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+
+[[package]]
+name = "multiprocess"
+version = "0.70.14"
+description = "better multiprocessing and multithreading in python"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "multiprocess-0.70.14-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:560a27540daef4ce8b24ed3cc2496a3c670df66c96d02461a4da67473685adf3"},
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+    {file = "multiprocess-0.70.14.tar.gz", hash = "sha256:3eddafc12f2260d27ae03fe6069b12570ab4764ab59a75e81624fac453fbf46a"},
+]
+
+[package.dependencies]
+dill = ">=0.3.6"
+
 [[package]]
 name = "mypy-extensions"
-version = "0.4.3"
-description = "Experimental type system extensions for programs checked with the mypy typechecker."
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
+files = [
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+]
+
+[[package]]
+name = "numpy"
+version = "1.24.3"
+description = "Fundamental package for array computing in Python"
+category = "main"
+optional = false
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+version = "0.1.5"
+description = "Ben Hodgson: A teeny Python library for creating Python dicts from protocol buffers and the reverse. Useful as an intermediate step before serialisation (e.g. to JSON). Kapor: upgrade it to PB3 and PY3, rename it to protobuf3-to-dict"
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+python-versions = "*"
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+six = "*"
+
 [[package]]
 name = "publication"
 version = "0.0.3"
@@ -267,28 +701,61 @@ description = "Publication helps you maintain public-api-friendly modules by pre
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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-category = "dev"
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+category = "main"
 optional = false
-python-versions = ">=3.6.8"
-
-[package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
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 [[package]]
 name = "pytest"
-version = "7.2.0"
+version = "7.3.1"
 description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
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-attrs = ">=19.2.0"
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
@@ -297,7 +764,7 @@ pluggy = ">=0.12,<2.0"
 tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"]
 
 [[package]]
 name = "python-dateutil"
@@ -306,17 +773,76 @@ description = "Extensions to the standard Python datetime module"
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
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+]
 
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
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+version = "2023.3"
+description = "World timezone definitions, modern and historical"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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 [[package]]
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 description = "An Amazon S3 Transfer Manager"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
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 botocore = ">=1.12.36,<2.0a.0"
@@ -324,6 +850,57 @@ botocore = ">=1.12.36,<2.0a.0"
 [package.extras]
 crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
 
+[[package]]
+name = "sagemaker"
+version = "2.154.0"
+description = "Open source library for training and deploying models on Amazon SageMaker."
+category = "main"
+optional = false
+python-versions = ">= 3.6"
+files = [
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+]
+
+[package.dependencies]
+attrs = ">=20.3.0,<23"
+boto3 = ">=1.26.28,<2.0"
+cloudpickle = "2.2.1"
+google-pasta = "*"
+importlib-metadata = ">=1.4.0,<5.0"
+jsonschema = "*"
+numpy = ">=1.9.0,<2.0"
+packaging = ">=20.0"
+pandas = "*"
+pathos = "*"
+platformdirs = "*"
+protobuf = ">=3.1,<4.0"
+protobuf3-to-dict = ">=0.1.5,<1.0"
+PyYAML = "5.4.1"
+schema = "*"
+smdebug_rulesconfig = "1.0.1"
+tblib = "1.7.0"
+
+[package.extras]
+all = ["PyYAML (==5.4.1)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "scipy (==1.7.3)", "urllib3 (==1.26.8)"]
+local = ["PyYAML (==5.4.1)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "urllib3 (==1.26.8)"]
+scipy = ["scipy (==1.7.3)"]
+test = ["Jinja2 (==3.0.3)", "PyYAML (==5.4.1)", "apache-airflow (==2.5.1)", "apache-airflow-providers-amazon (==7.2.1)", "attrs (==22.1.0)", "awslogs (==0.14.0)", "black (==22.3.0)", "cloudpickle (==2.2.1)", "contextlib2 (==21.6.0)", "coverage (>=5.2,<6.2)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "fabric (==2.6.0)", "flake8 (==4.0.1)", "mock (==4.0.3)", "pandas (>=1.3.5,<1.5)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-rerunfailures (==10.2)", "pytest-timeout (==2.1.0)", "pytest-xdist (==2.4.0)", "pyvis (==0.2.1)", "requests (==2.27.1)", "sagemaker-experiments (==0.1.35)", "scikit-learn (==1.0.2)", "scipy (==1.7.3)", "stopit (==1.1.2)", "tox (==3.24.5)", "urllib3 (==1.26.8)"]
+
+[[package]]
+name = "schema"
+version = "0.7.5"
+description = "Simple data validation library"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "schema-0.7.5.tar.gz", hash = "sha256:f06717112c61895cabc4707752b88716e8420a8819d71404501e114f91043197"},
+]
+
+[package.dependencies]
+contextlib2 = ">=0.5.5"
+
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 name = "six"
 version = "1.16.0"
@@ -331,6 +908,34 @@ description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
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+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
+[[package]]
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+version = "1.0.1"
+description = "SMDebug RulesConfig"
+category = "main"
+optional = false
+python-versions = ">=2.7"
+files = [
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+]
+
+[[package]]
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+version = "1.7.0"
+description = "Traceback serialization library."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+    {file = "tblib-1.7.0.tar.gz", hash = "sha256:059bd77306ea7b419d4f76016aef6d7027cc8a0785579b5aad198803435f882c"},
+]
 
 [[package]]
 name = "tomli"
@@ -339,6 +944,10 @@ description = "A lil' TOML parser"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
 
 [[package]]
 name = "typeguard"
@@ -347,6 +956,10 @@ description = "Run-time type checker for Python"
 category = "main"
 optional = false
 python-versions = ">=3.5.3"
+files = [
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+]
 
 [package.extras]
 doc = ["sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
@@ -354,171 +967,62 @@ test = ["mypy", "pytest", "typing-extensions"]
 
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-version = "4.4.0"
+version = "4.5.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
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 python-versions = ">=3.7"
+files = [
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+    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
+category = "main"
+optional = false
+python-versions = ">=2"
+files = [
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+    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+]
 
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-version = "1.26.12"
+version = "1.26.15"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
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-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
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+category = "main"
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-    {file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
-    {file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
-]
-pathspec = [
-    {file = "pathspec-0.10.2-py3-none-any.whl", hash = "sha256:88c2606f2c1e818b978540f73ecc908e13999c6c3a383daf3705652ae79807a5"},
-    {file = "pathspec-0.10.2.tar.gz", hash = "sha256:8f6bf73e5758fd365ef5d58ce09ac7c27d2833a8d7da51712eac6e27e35141b0"},
-]
-platformdirs = [
-    {file = "platformdirs-2.5.4-py3-none-any.whl", hash = "sha256:af0276409f9a02373d540bf8480021a048711d572745aef4b7842dad245eba10"},
-    {file = "platformdirs-2.5.4.tar.gz", hash = "sha256:1006647646d80f16130f052404c6b901e80ee4ed6bef6792e1f238a8969106f7"},
-]
-pluggy = [
-    {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
-    {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
-]
-publication = [
-    {file = "publication-0.0.3-py2.py3-none-any.whl", hash = "sha256:0248885351febc11d8a1098d5c8e3ab2dabcf3e8c0c96db1e17ecd12b53afbe6"},
-    {file = "publication-0.0.3.tar.gz", hash = "sha256:68416a0de76dddcdd2930d1c8ef853a743cc96c82416c4e4d3b5d901c6276dc4"},
-]
-pyparsing = [
-    {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
-    {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
-]
-pytest = [
-    {file = "pytest-7.2.0-py3-none-any.whl", hash = "sha256:892f933d339f068883b6fd5a459f03d85bfcb355e4981e146d2c7616c21fef71"},
-    {file = "pytest-7.2.0.tar.gz", hash = "sha256:c4014eb40e10f11f355ad4e3c2fb2c6c6d1919c73f3b5a433de4708202cade59"},
-]
-python-dateutil = [
-    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
-    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
-]
-s3transfer = [
-    {file = "s3transfer-0.6.0-py3-none-any.whl", hash = "sha256:06176b74f3a15f61f1b4f25a1fc29a4429040b7647133a463da8fa5bd28d5ecd"},
-    {file = "s3transfer-0.6.0.tar.gz", hash = "sha256:2ed07d3866f523cc561bf4a00fc5535827981b117dd7876f036b0c1aca42c947"},
-]
-six = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
-]
-tomli = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
-typeguard = [
-    {file = "typeguard-2.13.3-py3-none-any.whl", hash = "sha256:5e3e3be01e887e7eafae5af63d1f36c849aaa94e3a0112097312aabfa16284f1"},
-    {file = "typeguard-2.13.3.tar.gz", hash = "sha256:00edaa8da3a133674796cf5ea87d9f4b4c367d77476e185e80251cc13dfbb8c4"},
-]
-typing-extensions = [
-    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
-    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
-]
-urllib3 = [
-    {file = "urllib3-1.26.12-py2.py3-none-any.whl", hash = "sha256:b930dd878d5a8afb066a637fbb35144fe7901e3b209d1cd4f524bd0e9deee997"},
-    {file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
-]
+content-hash = "4bc9f8e1fcf381abe4fa386a0cb63ed2846ea0ea25eb13861bf9439bf146782d"
diff --git a/deployment_pipeline/prod-config.json b/deployment_pipeline/prod-config.json
index caf4874..ce54d3d 100644
--- a/deployment_pipeline/prod-config.json
+++ b/deployment_pipeline/prod-config.json
@@ -12,5 +12,8 @@
         "metric_name": "feature_baseline_drift_fare_amount",
         "metric_threshold": 0.4,
         "period": 3600
+    },
+    "variant_config": {
+        "variant_name": "DataDrift-Prod"
     }
 }
\ No newline at end of file
diff --git a/deployment_pipeline/pyproject.toml b/deployment_pipeline/pyproject.toml
index f895ad1..b14e97a 100644
--- a/deployment_pipeline/pyproject.toml
+++ b/deployment_pipeline/pyproject.toml
@@ -11,6 +11,7 @@ python = "^3.9"
 aws-cdk-lib = "^2.50.0"
 constructs = "^10.1.153"
 boto3 = "^1.26.4"
+sagemaker = "^2.154.0"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/deployment_pipeline/requirements.txt b/deployment_pipeline/requirements.txt
index 3111f63..c2df074 100644
--- a/deployment_pipeline/requirements.txt
+++ b/deployment_pipeline/requirements.txt
@@ -1,19 +1,45 @@
-attrs==22.1.0 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-asset-awscli-v1==2.2.11 ; python_version >= "3.9" and python_version < "4.0"
+attrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-awscli-v1==2.2.173 ; python_version >= "3.9" and python_version < "4.0"
 aws-cdk-asset-kubectl-v20==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-asset-node-proxy-agent-v5==2.0.17 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-lib==2.51.0 ; python_version >= "3.9" and python_version < "4.0"
-boto3==1.26.12 ; python_version >= "3.9" and python_version < "4.0"
-botocore==1.29.12 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-node-proxy-agent-v5==2.0.146 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-lib==2.79.1 ; python_version >= "3.9" and python_version < "4.0"
+boto3==1.26.133 ; python_version >= "3.9" and python_version < "4.0"
+botocore==1.29.133 ; python_version >= "3.9" and python_version < "4.0"
 cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
-constructs==10.1.163 ; python_version >= "3.9" and python_version < "4.0"
-exceptiongroup==1.0.4 ; python_version >= "3.9" and python_version < "3.11"
+cloudpickle==2.2.1 ; python_version >= "3.9" and python_version < "4.0"
+constructs==10.2.24 ; python_version >= "3.9" and python_version < "4.0"
+contextlib2==21.6.0 ; python_version >= "3.9" and python_version < "4.0"
+dill==0.3.6 ; python_version >= "3.9" and python_version < "4.0"
+exceptiongroup==1.1.1 ; python_version >= "3.9" and python_version < "3.11"
+google-pasta==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
+importlib-metadata==4.13.0 ; python_version >= "3.9" and python_version < "4.0"
+importlib-resources==5.12.0 ; python_version >= "3.9" and python_version < "4.0"
 jmespath==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
-jsii==1.71.0 ; python_version >= "3.9" and python_version < "4.0"
+jsii==1.81.0 ; python_version >= "3.9" and python_version < "4.0"
+jsonschema==4.17.3 ; python_version >= "3.9" and python_version < "4.0"
+multiprocess==0.70.14 ; python_version >= "3.9" and python_version < "4.0"
+numpy==1.24.3 ; python_version >= "3.9" and python_version < "4.0"
+packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
+pandas==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
+pathos==0.3.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==3.5.1 ; python_version >= "3.9" and python_version < "4.0"
+pox==0.3.2 ; python_version >= "3.9" and python_version < "4.0"
+ppft==1.7.6.6 ; python_version >= "3.9" and python_version < "4.0"
+protobuf3-to-dict==0.1.5 ; python_version >= "3.9" and python_version < "4.0"
+protobuf==3.20.3 ; python_version >= "3.9" and python_version < "4.0"
 publication==0.0.3 ; python_version >= "3.9" and python_version < "4.0"
+pyrsistent==0.19.3 ; python_version >= "3.9" and python_version < "4.0"
 python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
-s3transfer==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
+pytz==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+pyyaml==5.4.1 ; python_version >= "3.9" and python_version < "4.0"
+s3transfer==0.6.1 ; python_version >= "3.9" and python_version < "4.0"
+sagemaker==2.154.0 ; python_version >= "3.9" and python_version < "4.0"
+schema==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
+smdebug-rulesconfig==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
+tblib==1.7.0 ; python_version >= "3.9" and python_version < "4.0"
 typeguard==2.13.3 ; python_version >= "3.9" and python_version < "4.0"
-typing-extensions==4.4.0 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==1.26.12 ; python_version >= "3.9" and python_version < "4"
+typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "4.0"
+tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==1.26.15 ; python_version >= "3.9" and python_version < "4.0"
+zipp==3.15.0 ; python_version >= "3.9" and python_version < "4.0"
diff --git a/deployment_pipeline/staging-config.json b/deployment_pipeline/staging-config.json
index a9d3136..4547a5c 100644
--- a/deployment_pipeline/staging-config.json
+++ b/deployment_pipeline/staging-config.json
@@ -1,5 +1,8 @@
 {
     "stage_name": "staging",
     "instance_count": 1,
-    "instance_type": "ml.t2.medium"
-}
+    "instance_type": "ml.t2.medium",
+    "variant_config": {
+        "variant_name": "DataDrift-Staging"
+    }
+}
\ No newline at end of file
diff --git a/drift-service-catalog.yml b/drift-service-catalog.yml
deleted file mode 100644
index 96c8b6a..0000000
--- a/drift-service-catalog.yml
+++ /dev/null
@@ -1,404 +0,0 @@
-Parameters:
-  ExecutionRoleArn:
-    Type: String
-    AllowedPattern: ^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$
-    Description: The SageMaker Studio execution role
-    MinLength: 1
-  PortfolioName:
-    Type: String
-    Default: SageMaker Organization Templates
-    Description: The name of the portfolio
-    MinLength: 1
-  PortfolioOwner:
-    Type: String
-    Default: administrator
-    Description: The owner of the portfolio
-    MaxLength: 50
-    MinLength: 1
-  ProductVersion:
-    Type: String
-    Default: "1.0"
-    Description: The product version to deploy
-    MinLength: 1
-Resources:
-  LaunchRolePolicyA9E2E5B1:
-    Type: AWS::IAM::Policy
-    Properties:
-      PolicyDocument:
-        Statement:
-          - Action:
-              - s3:GetObject*
-              - s3:GetBucket*
-              - s3:List*
-            Effect: Allow
-            Resource:
-              - Fn::Join:
-                  - ""
-                  - - "arn:"
-                    - Ref: AWS::Partition
-                    - :s3:::aws-ml-blog
-              - Fn::Join:
-                  - ""
-                  - - "arn:"
-                    - Ref: AWS::Partition
-                    - :s3:::aws-ml-blog/*
-          - Action:
-              - ssm:DescribeParameters
-              - ssm:GetParameters
-              - ssm:GetParameter
-              - ssm:GetParameterHistory
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:"
-                  - Ref: AWS::Partition
-                  - ":ssm:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :parameter
-                  - Ref: CodeCommitSeedBucket94EB6088
-          - Action:
-              - ssm:DescribeParameters
-              - ssm:GetParameters
-              - ssm:GetParameter
-              - ssm:GetParameterHistory
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:"
-                  - Ref: AWS::Partition
-                  - ":ssm:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :parameter
-                  - Ref: CodeCommitBuildKey09FC7134
-          - Action:
-              - ssm:DescribeParameters
-              - ssm:GetParameters
-              - ssm:GetParameter
-              - ssm:GetParameterHistory
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:"
-                  - Ref: AWS::Partition
-                  - ":ssm:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :parameter
-                  - Ref: CodeCommitBatchKeyB0BCA7C9
-          - Action:
-              - ssm:DescribeParameters
-              - ssm:GetParameters
-              - ssm:GetParameter
-              - ssm:GetParameterHistory
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:"
-                  - Ref: AWS::Partition
-                  - ":ssm:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :parameter
-                  - Ref: CodeCommitDeployKey5E5A6E47
-        Version: "2012-10-17"
-      PolicyName: LaunchRolePolicyA9E2E5B1
-      Roles:
-        - AmazonSageMakerServiceCatalogProductsLaunchRole
-  ProductsUseRolePolicy7FB0EE21:
-    Type: AWS::IAM::Policy
-    Properties:
-      PolicyDocument:
-        Statement:
-          - Action: sts:AssumeRole
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:"
-                  - Ref: AWS::Partition
-                  - ":iam::"
-                  - Ref: AWS::AccountId
-                  - :role/service-role/AmazonSageMakerServiceCatalogProductsUseRole
-          - Action:
-              - application-autoscaling:DeregisterScalableTarget
-              - application-autoscaling:DeleteScalingPolicy
-              - application-autoscaling:DescribeScalingPolicies
-              - application-autoscaling:PutScalingPolicy
-              - application-autoscaling:RegisterScalableTarget
-              - application-autoscaling:DescribeScalableTargets
-              - iam:CreateServiceLinkedRole
-              - cloudwatch:DeleteAlarms
-              - cloudwatch:DescribeAlarms
-              - cloudwatch:PutMetricAlarm
-              - codepipeline:PutJobSuccessResult
-              - codepipeline:PutJobFailureResult
-            Effect: Allow
-            Resource: "*"
-          - Action: iam:CreateServiceLinkedRole
-            Condition:
-              StringLike:
-                iam:AWSServiceName: sagemaker.application-autoscaling.amazonaws.com
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:aws:iam::"
-                  - Ref: AWS::AccountId
-                  - :role/aws-service-role/sagemaker.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_SageMakerEndpoint
-          - Action:
-              - codepipeline:EnableStageTransition
-              - codepipeline:DisableStageTransition
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:aws:codepipeline:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :sagemaker-*
-          - Action:
-              - events:EnableRule
-              - events:DisableRule
-            Effect: Allow
-            Resource:
-              Fn::Join:
-                - ""
-                - - "arn:aws:events:"
-                  - Ref: AWS::Region
-                  - ":"
-                  - Ref: AWS::AccountId
-                  - :rule/sagemaker-*
-        Version: "2012-10-17"
-      PolicyName: ProductsUseRolePolicy7FB0EE21
-      Roles:
-        - AmazonSageMakerServiceCatalogProductsUseRole
-  Portfolio856A4190:
-    Type: AWS::ServiceCatalog::Portfolio
-    Properties:
-      DisplayName:
-        Ref: PortfolioName
-      ProviderName:
-        Ref: PortfolioOwner
-      Description: Organization templates for drift detection pipelines
-  PortfolioPortfolioProductAssociationafa25c91024062989E0C:
-    Type: AWS::ServiceCatalog::PortfolioProductAssociation
-    Properties:
-      PortfolioId:
-        Ref: Portfolio856A4190
-      ProductId:
-        Ref: BatchProduct9E7E43C3
-  PortfolioPortfolioProductAssociation7d95b807a437095C0A65:
-    Type: AWS::ServiceCatalog::PortfolioProductAssociation
-    Properties:
-      PortfolioId:
-        Ref: Portfolio856A4190
-      ProductId:
-        Ref: DeployProduct78C47E65
-  BatchProduct9E7E43C3:
-    Type: AWS::ServiceCatalog::CloudFormationProduct
-    Properties:
-      Name: Amazon SageMaker drift detection template for batch scoring
-      Owner:
-        Ref: PortfolioOwner
-      ProvisioningArtifactParameters:
-        - DisableTemplateValidation: false
-          Info:
-            LoadTemplateFromURL:
-              Fn::Sub: https://s3.${AWS::URLSuffix}/aws-ml-blog/artifacts/amazon-sagemaker-drift-detection/fe4e6e939c884f6be729a386942e86bec0cdfb7b27f0f8e61e3b1e33c8b679cc.json
-          Name:
-            Ref: ProductVersion
-      Description: This template includes a model building pipeline that includes a workflow to pre-process, train, evaluate and register a model as well as create a baseline for model monitoring.   The batch pipeline creates a staging and production workflow to perform scoring, and model monitor to output metrics to automate re-training on drift detection.
-      Tags:
-        - Key: sagemaker:studio-visibility
-          Value: "true"
-  DeployProduct78C47E65:
-    Type: AWS::ServiceCatalog::CloudFormationProduct
-    Properties:
-      Name: Amazon SageMaker drift detection template for real-time deployment
-      Owner:
-        Ref: PortfolioOwner
-      ProvisioningArtifactParameters:
-        - DisableTemplateValidation: false
-          Info:
-            LoadTemplateFromURL:
-              Fn::Sub: https://s3.${AWS::URLSuffix}/aws-ml-blog/artifacts/amazon-sagemaker-drift-detection/a5523ad117867ab80983bc7cf31d32707c1483b1347bd9c1695c03e06b31440f.json
-          Name:
-            Ref: ProductVersion
-      Description: This template includes a model building pipeline that includes a workflow to pre-process, train, evaluate and register a model as well as create a baseline for model monitoring.   The deploy pipeline creates a staging and production endpoint, and schedules model monitor to output metrics to automate re-training on drift detection.
-      Tags:
-        - Key: sagemaker:studio-visibility
-          Value: "true"
-  PortfolioPrincipalAssociation:
-    Type: AWS::ServiceCatalog::PortfolioPrincipalAssociation
-    Properties:
-      PortfolioId:
-        Ref: Portfolio856A4190
-      PrincipalARN:
-        Ref: ExecutionRoleArn
-      PrincipalType: IAM
-    DependsOn:
-      - BatchProduct9E7E43C3
-      - DeployProduct78C47E65
-  LaunchRoleConstraint0:
-    Type: AWS::ServiceCatalog::LaunchRoleConstraint
-    Properties:
-      PortfolioId:
-        Ref: Portfolio856A4190
-      ProductId:
-        Ref: BatchProduct9E7E43C3
-      Description:
-        Fn::Join:
-          - ""
-          - - "Launch as arn:"
-            - Ref: AWS::Partition
-            - ":iam::"
-            - Ref: AWS::AccountId
-            - :role/service-role/AmazonSageMakerServiceCatalogProductsLaunchRole
-      RoleArn:
-        Fn::Join:
-          - ""
-          - - "arn:"
-            - Ref: AWS::Partition
-            - ":iam::"
-            - Ref: AWS::AccountId
-            - :role/service-role/AmazonSageMakerServiceCatalogProductsLaunchRole
-    DependsOn:
-      - PortfolioPrincipalAssociation
-  LaunchRoleConstraint1:
-    Type: AWS::ServiceCatalog::LaunchRoleConstraint
-    Properties:
-      PortfolioId:
-        Ref: Portfolio856A4190
-      ProductId:
-        Ref: DeployProduct78C47E65
-      Description:
-        Fn::Join:
-          - ""
-          - - "Launch as arn:"
-            - Ref: AWS::Partition
-            - ":iam::"
-            - Ref: AWS::AccountId
-            - :role/service-role/AmazonSageMakerServiceCatalogProductsLaunchRole
-      RoleArn:
-        Fn::Join:
-          - ""
-          - - "arn:"
-            - Ref: AWS::Partition
-            - ":iam::"
-            - Ref: AWS::AccountId
-            - :role/service-role/AmazonSageMakerServiceCatalogProductsLaunchRole
-    DependsOn:
-      - PortfolioPrincipalAssociation
-  CodeCommitSeedBucket94EB6088:
-    Type: AWS::SSM::Parameter
-    Properties:
-      Type: String
-      Value: aws-ml-blog
-      Name: /drift-pipeline/CodeCommitSeedBucket
-  CodeCommitBuildKey09FC7134:
-    Type: AWS::SSM::Parameter
-    Properties:
-      Type: String
-      Value: artifacts/amazon-sagemaker-drift-detection/52d936109e8943985b2da5ebaefc6bd41a7c6b5727626706bb58b5f4cc1edff2.zip
-      Name: /drift-pipeline/CodeCommitBuildKey
-  CodeCommitBatchKeyB0BCA7C9:
-    Type: AWS::SSM::Parameter
-    Properties:
-      Type: String
-      Value: artifacts/amazon-sagemaker-drift-detection/2f29abdac58c60544d6e912108fe61480ee7193137069b780f2327e9835d6204.zip
-      Name: /drift-pipeline/CodeCommitBatchKey
-  CodeCommitDeployKey5E5A6E47:
-    Type: AWS::SSM::Parameter
-    Properties:
-      Type: String
-      Value: artifacts/amazon-sagemaker-drift-detection/97454cab4d8ce952dd7a22409cf3789f4437f80b7449e2ad424776826bac3d2d.zip
-      Name: /drift-pipeline/CodeCommitDeployKey
-  CDKMetadata:
-    Type: AWS::CDK::Metadata
-    Properties:
-      Analytics: v2:deflate64:H4sIAAAAAAAAE3VQQWrDQAx8S+7rTUwg9NjG0FMPxn2BkGVHtb0qu9qGYPz37tqlTaE9ScMMo9GUtixP9rB7hGsosB32M4onO78q4GCqztXgYSIlbxoKEj2SeQqBNAl6dr2pxAX1ETWLvyVpT0TLyuIWk71nhsnOtYyMt9V33RYTyH8wEoLCKH1WeO0SJ5voL1B7adPBFEOQIZ8w1SixfRY/rfBLsKb4j7hzY4f8DuMvv869QHR4aWSk7UVgpynusYD8frBrCwnbc8SB9AyBTAhTri459j+93Ze4LIupb3oRtz/aB1sedm+BufDRKU9km21+Ai9p+LOVAQAA
-    Condition: CDKMetadataAvailable
-Conditions:
-  CDKMetadataAvailable:
-    Fn::Or:
-      - Fn::Or:
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - af-south-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-east-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-northeast-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-northeast-2
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-south-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-southeast-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ap-southeast-2
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - ca-central-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - cn-north-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - cn-northwest-1
-      - Fn::Or:
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-central-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-north-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-south-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-west-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-west-2
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - eu-west-3
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - me-south-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - sa-east-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - us-east-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - us-east-2
-      - Fn::Or:
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - us-west-1
-          - Fn::Equals:
-              - Ref: AWS::Region
-              - us-west-2
-
diff --git a/infra/batch_pipeline_construct.py b/infra/batch_pipeline_construct.py
index c6b0641..a770f97 100644
--- a/infra/batch_pipeline_construct.py
+++ b/infra/batch_pipeline_construct.py
@@ -8,6 +8,7 @@
 from aws_cdk import aws_iam as iam
 from aws_cdk import aws_lambda as lambda_
 from aws_cdk import aws_s3 as s3
+from aws_cdk.aws_codebuild import BuildEnvironmentVariable
 from constructs import Construct
 
 from infra.sagemaker_pipelines_event_target import add_sagemaker_pipeline_target
@@ -36,6 +37,7 @@ def __init__(
         seed_bucket: str,
         seed_key: str,
         batch_schedule: str,
+        lowercase_lambda: lambda_.Function = None,
         **kwargs,
     ) -> None:
         super().__init__(scope, construct_id, **kwargs)
@@ -44,7 +46,7 @@ def __init__(
         repo = codecommit.CfnRepository(
             self,
             "CodeRepo",
-            repository_name="sagemaker-{}-{}".format(project_name, construct_id),
+            repository_name=f"sagemaker-{project_name}-{construct_id}",
             repository_description=f"Amazon SageMaker Drift {construct_id} pipeline",
             code=codecommit.CfnRepository.CodeProperty(
                 s3=codecommit.CfnRepository.S3Property(
@@ -67,9 +69,21 @@ def __init__(
 
         # Define resource names
         pipeline_name = f"{project_name}-{construct_id}"
+
+        # Use a custom resource to format the pipeline name
+        pipeline_name_lowercase = cdk.CustomResource(
+            self,
+            "CrPipelineNameLowercase",
+            service_token=lowercase_lambda.function_arn,
+            properties=dict(InputString=pipeline_name),
+        )
         pipeline_description = "SageMaker Drift Detection Batch Pipeline"
-        sagemaker_pipeline_arn = (
-            f"arn:aws:sagemaker:{env.region}:{env.account}:pipeline/{pipeline_name}"
+        sagemaker_pipeline_arn = cdk.Fn.join(
+            delimiter="/",
+            list_of_values=[
+                f"arn:aws:sagemaker:{env.region}:{env.account}:pipeline",
+                pipeline_name_lowercase.get_att_string("OutputString"),
+            ],
         )
         code_pipeline_name = f"sagemaker-{project_name}-{construct_id}"
         schedule_rule_name = f"sagemaker-{project_name}-schedule-{construct_id}"
@@ -79,28 +93,26 @@ def __init__(
         pipeline_build = codebuild.PipelineProject(
             self,
             "PipelineBuild",
-            project_name="sagemaker-{}-{}".format(project_name, construct_id),
+            project_name=f"sagemaker-{project_name}-{construct_id}",
             role=code_build_role,
             environment=codebuild.BuildEnvironment(
                 build_image=codebuild.LinuxBuildImage.AMAZON_LINUX_2_4,
                 environment_variables={
-                    "SAGEMAKER_PROJECT_NAME": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PROJECT_NAME": BuildEnvironmentVariable(
                         value=project_name
                     ),
-                    "SAGEMAKER_PROJECT_ID": codebuild.BuildEnvironmentVariable(
-                        value=project_id
-                    ),
-                    "AWS_REGION": codebuild.BuildEnvironmentVariable(value=env.region),
-                    "SAGEMAKER_PIPELINE_NAME": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PROJECT_ID": BuildEnvironmentVariable(value=project_id),
+                    "AWS_REGION": BuildEnvironmentVariable(value=env.region),
+                    "SAGEMAKER_PIPELINE_NAME": BuildEnvironmentVariable(
                         value=pipeline_name,
                     ),
-                    "SAGEMAKER_PIPELINE_DESCRIPTION": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PIPELINE_DESCRIPTION": BuildEnvironmentVariable(
                         value=pipeline_description,
                     ),
-                    "SAGEMAKER_PIPELINE_ROLE_ARN": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PIPELINE_ROLE_ARN": BuildEnvironmentVariable(
                         value=sagemaker_execution_role.role_arn,
                     ),
-                    "ARTIFACT_BUCKET": codebuild.BuildEnvironmentVariable(
+                    "ARTIFACT_BUCKET": BuildEnvironmentVariable(
                         value=s3_artifact.bucket_name
                     ),
                 },
@@ -116,75 +128,80 @@ def __init__(
             role=code_pipeline_role,
             artifact_bucket=s3_artifact,
             pipeline_name=code_pipeline_name,
-            stages=[
-                codepipeline.StageProps(
-                    stage_name="Source",
-                    actions=[
-                        codepipeline_actions.CodeCommitSourceAction(
-                            action_name="CodeCommit_Source",
-                            repository=code,
-                            trigger=codepipeline_actions.CodeCommitTrigger.NONE,  # Created below
-                            event_role=event_role,
-                            output=source_output,
-                            branch=branch_name,
-                            role=code_pipeline_role,
-                        )
+        )
+
+        source_action = codepipeline_actions.CodeCommitSourceAction(
+            action_name="CodeCommit_Source",
+            repository=code,
+            # Created rule below to give it a custom name
+            trigger=codepipeline_actions.CodeCommitTrigger.NONE,
+            event_role=event_role,
+            output=source_output,
+            branch=branch_name,
+            role=code_pipeline_role,
+        )
+        _ = code_pipeline.add_stage(
+            stage_name="Source",
+            actions=[source_action],
+        )
+
+        _ = code_pipeline.add_stage(
+            stage_name="Build",
+            actions=[
+                codepipeline_actions.CodeBuildAction(
+                    run_order=1,
+                    action_name="Build_Pipeline",
+                    project=pipeline_build,
+                    input=source_output,
+                    outputs=[
+                        pipeline_build_output,
                     ],
-                ),
-                codepipeline.StageProps(
-                    stage_name="Build",
-                    actions=[
-                        codepipeline_actions.CodeBuildAction(
-                            run_order=1,
-                            action_name="Build_Pipeline",
-                            project=pipeline_build,
-                            input=source_output,
-                            outputs=[
-                                pipeline_build_output,
-                            ],
-                            role=code_pipeline_role,
+                    role=code_pipeline_role,
+                    environment_variables={
+                        "COMMIT_ID": BuildEnvironmentVariable(
+                            value=source_action.variables.commit_id,
                         ),
-                    ],
+                    },
                 ),
-                codepipeline.StageProps(
-                    stage_name="BatchStaging",
-                    actions=[
-                        codepipeline_actions.CloudFormationCreateUpdateStackAction(
-                            action_name="Batch_CFN_Staging",
-                            run_order=1,
-                            template_path=pipeline_build_output.at_path(
-                                "drift-batch-staging.template.json"
-                            ),
-                            stack_name=f"sagemaker-{project_name}-batch-staging",
-                            admin_permissions=False,
-                            deployment_role=cloudformation_role,
-                            replace_on_failure=True,
-                            role=code_pipeline_role,
-                        ),
-                        codepipeline_actions.ManualApprovalAction(
-                            action_name="Approve_Staging",
-                            run_order=2,
-                            additional_information="Approving deployment for production",
-                            role=code_pipeline_role,
-                        ),
-                    ],
+            ],
+        )
+        _ = code_pipeline.add_stage(
+            stage_name="BatchStaging",
+            actions=[
+                codepipeline_actions.CloudFormationCreateUpdateStackAction(
+                    action_name="Batch_CFN_Staging",
+                    run_order=1,
+                    template_path=pipeline_build_output.at_path(
+                        "drift-batch-staging.template.json"
+                    ),
+                    stack_name=f"sagemaker-{project_name}-batch-staging",
+                    admin_permissions=False,
+                    deployment_role=cloudformation_role,
+                    replace_on_failure=True,
+                    role=code_pipeline_role,
                 ),
-                codepipeline.StageProps(
-                    stage_name="BatchProd",
-                    actions=[
-                        codepipeline_actions.CloudFormationCreateUpdateStackAction(
-                            action_name="Batch_CFN_Prod",
-                            run_order=1,
-                            template_path=pipeline_build_output.at_path(
-                                "drift-batch-prod.template.json"
-                            ),
-                            stack_name=f"sagemaker-{project_name}-batch-prod",
-                            admin_permissions=False,
-                            deployment_role=cloudformation_role,
-                            role=code_pipeline_role,
-                            replace_on_failure=True,
-                        ),
-                    ],
+                codepipeline_actions.ManualApprovalAction(
+                    action_name="Approve_Staging",
+                    run_order=2,
+                    additional_information="Approving deployment for production",
+                    role=code_pipeline_role,
+                ),
+            ],
+        )
+        _ = code_pipeline.add_stage(
+            stage_name="BatchProd",
+            actions=[
+                codepipeline_actions.CloudFormationCreateUpdateStackAction(
+                    action_name="Batch_CFN_Prod",
+                    run_order=1,
+                    template_path=pipeline_build_output.at_path(
+                        "drift-batch-prod.template.json"
+                    ),
+                    stack_name=f"sagemaker-{project_name}-batch-prod",
+                    admin_permissions=False,
+                    deployment_role=cloudformation_role,
+                    role=code_pipeline_role,
+                    replace_on_failure=True,
                 ),
             ],
         )
@@ -226,7 +243,8 @@ def __init__(
             },
         )
 
-        # Add permissions to put job status (if we want to call this directly within CodePipeline)
+        # Add permissions to put job status (if we want to call this directly
+        # within CodePipeline)
         # see: https://docs.aws.amazon.com/codepipeline/latest/userguide/approvals-iam-permissions.html
         lambda_pipeline_change.add_to_role_policy(
             iam.PolicyStatement(
@@ -253,7 +271,8 @@ def __init__(
             self,
             "SagemakerPipelineRule",
             rule_name=f"sagemaker-{project_name}-sagemakerpipeline-{construct_id}",
-            description="Rule to enable/disable SM pipeline triggers when a SageMaker Batch Pipeline is in progress.",
+            description="Rule to enable/disable SM pipeline triggers when a "
+            "SageMaker Batch Pipeline is in progress.",
             event_pattern=events.EventPattern(
                 source=["aws.sagemaker"],
                 detail_type=[
@@ -279,7 +298,8 @@ def __init__(
             rule_name="sagemaker-{}-modelregistry-{}".format(
                 project_name, construct_id
             ),
-            description="Rule to trigger a deployment when SageMaker Model registry is updated with a new model package.",
+            description="Rule to trigger a deployment when SageMaker Model "
+            "Registry is updated with a new model package.",
             event_pattern=events.EventPattern(
                 source=["aws.sagemaker"],
                 detail_type=["SageMaker Model Package State Change"],
diff --git a/infra/build_pipeline_construct.py b/infra/build_pipeline_construct.py
index e7dba64..9c454d2 100644
--- a/infra/build_pipeline_construct.py
+++ b/infra/build_pipeline_construct.py
@@ -8,6 +8,7 @@
 from aws_cdk import aws_iam as iam
 from aws_cdk import aws_lambda as lambda_
 from aws_cdk import aws_s3 as s3
+from aws_cdk.aws_codebuild import BuildEnvironmentVariable
 from constructs import Construct
 
 from infra.sagemaker_pipelines_event_target import add_sagemaker_pipeline_target
@@ -89,6 +90,32 @@ def __init__(
         drift_rule_name = f"sagemaker-{project_name}-drift-{construct_id}"
         schedule_rule_name = f"sagemaker-{project_name}-schedule-{construct_id}"
 
+        source_output = codepipeline.Artifact()
+        pipeline_build_output = codepipeline.Artifact()
+
+        code_pipeline = codepipeline.Pipeline(
+            self,
+            "Pipeline",
+            role=code_pipeline_role,
+            artifact_bucket=s3_artifact,
+            pipeline_name=code_pipeline_name,
+        )
+
+        source_action = codepipeline_actions.CodeCommitSourceAction(
+            action_name="CodeCommit_Source",
+            repository=code,
+            # Created rule below to give it a custom name
+            trigger=codepipeline_actions.CodeCommitTrigger.NONE,
+            event_role=event_role,
+            output=source_output,
+            branch=branch_name,
+            role=code_pipeline_role,
+        )
+        _ = code_pipeline.add_stage(
+            stage_name="Source",
+            actions=[source_action],
+        )
+
         # Define AWS CodeBuild spec to run node.js and python
         # https://docs.aws.amazon.com/codebuild/latest/userguide/available-runtimes.html
         pipeline_build = codebuild.PipelineProject(
@@ -99,56 +126,28 @@ def __init__(
             environment=codebuild.BuildEnvironment(
                 build_image=codebuild.LinuxBuildImage.AMAZON_LINUX_2_4,
                 environment_variables={
-                    "SAGEMAKER_PROJECT_NAME": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PROJECT_NAME": BuildEnvironmentVariable(
                         value=project_name
                     ),
-                    "SAGEMAKER_PROJECT_ID": codebuild.BuildEnvironmentVariable(
-                        value=project_id
-                    ),
-                    "AWS_REGION": codebuild.BuildEnvironmentVariable(value=env.region),
-                    "SAGEMAKER_PIPELINE_NAME": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PROJECT_ID": BuildEnvironmentVariable(value=project_id),
+                    "AWS_REGION": BuildEnvironmentVariable(value=env.region),
+                    "SAGEMAKER_PIPELINE_NAME": BuildEnvironmentVariable(
                         value=pipeline_name,
                     ),
-                    "SAGEMAKER_PIPELINE_DESCRIPTION": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PIPELINE_DESCRIPTION": BuildEnvironmentVariable(
                         value=pipeline_description,
                     ),
-                    "SAGEMAKER_PIPELINE_ROLE_ARN": codebuild.BuildEnvironmentVariable(
+                    "SAGEMAKER_PIPELINE_ROLE_ARN": BuildEnvironmentVariable(
                         value=sagemaker_execution_role.role_arn,
                     ),
-                    "ARTIFACT_BUCKET": codebuild.BuildEnvironmentVariable(
+                    "ARTIFACT_BUCKET": BuildEnvironmentVariable(
                         value=s3_artifact.bucket_name
                     ),
                 },
             ),
         )
 
-        source_output = codepipeline.Artifact()
-        pipeline_build_output = codepipeline.Artifact()
-
-        code_pipeline = codepipeline.Pipeline(
-            self,
-            "Pipeline",
-            role=code_pipeline_role,
-            artifact_bucket=s3_artifact,
-            pipeline_name=code_pipeline_name,
-        )
-
-        source_stage = code_pipeline.add_stage(
-            stage_name="Source",
-            actions=[
-                codepipeline_actions.CodeCommitSourceAction(
-                    action_name="CodeCommit_Source",
-                    repository=code,
-                    trigger=codepipeline_actions.CodeCommitTrigger.NONE,  # Created below
-                    event_role=event_role,
-                    output=source_output,
-                    branch=branch_name,
-                    role=code_pipeline_role,
-                )
-            ],
-        )
-
-        build_stage = code_pipeline.add_stage(
+        _ = code_pipeline.add_stage(
             stage_name="Build",
             actions=[
                 codepipeline_actions.CodeBuildAction(
@@ -160,6 +159,14 @@ def __init__(
                         pipeline_build_output,
                     ],
                     role=code_pipeline_role,
+                    environment_variables={
+                        "COMMIT_ID": BuildEnvironmentVariable(
+                            value=source_action.variables.commit_id,
+                        ),
+                        "REPOSITORY_NAME": BuildEnvironmentVariable(
+                            value=source_action.variables.repository_name
+                        ),
+                    },
                 ),
             ],
         )
@@ -186,7 +193,8 @@ def __init__(
         deployment_success_rule = pipeline_deploy_stage.on_state_change(
             name="Start pipeline",
             rule_name=build_rule_name,
-            description="Rule to execute the Model Build pipeline once the pipeline has been deployed",
+            description="Rule to execute the Model Build pipeline once "
+            "the pipeline has been deployed",
             schedule=events.Schedule.expression(retrain_schedule),
             event_pattern=events.EventPattern(
                 source=["aws.codepipeline"],
@@ -205,34 +213,6 @@ def __init__(
             sagemaker_pipeline_arn=sagemaker_pipeline_arn,
         )
 
-        # Run the pipeline if data drift is detected
-        drift_rule = events.Rule(
-            self,
-            "DriftRule",
-            enabled=True,
-            description="Rule to start SM pipeline when drift has been detected.",
-            rule_name=drift_rule_name,
-            event_pattern=events.EventPattern(
-                source=["aws.cloudwatch"],
-                detail_type=["CloudWatch Alarm State Change"],
-                detail={
-                    "alarmName": [
-                        f"sagemaker-{project_name}-staging-threshold",
-                        f"sagemaker-{project_name}-prod-threshold",
-                        f"sagemaker-{project_name}-batch-staging-threshold",
-                        f"sagemaker-{project_name}-batch-prod-threshold",
-                    ],
-                    "state": {"value": ["ALARM"]},
-                },
-            ),
-        )
-
-        add_sagemaker_pipeline_target(
-            drift_rule,
-            event_role=event_role,
-            sagemaker_pipeline_arn=sagemaker_pipeline_arn,
-        )
-
         # Load the lambda pipeline change code
         with open("lambda/build/lambda_pipeline_change.py", encoding="utf8") as fp:
             lambda_pipeline_change_code = fp.read()
@@ -255,8 +235,6 @@ def __init__(
             },
         )
 
-        # Add permissions to put job status (if we want to call this directly within CodePipeline)
-        # see: https://docs.aws.amazon.com/codepipeline/latest/userguide/approvals-iam-permissions.html
         lambda_pipeline_change.add_to_role_policy(
             iam.PolicyStatement(
                 actions=[
@@ -282,7 +260,8 @@ def __init__(
             self,
             "SagemakerPipelineRule",
             rule_name=f"sagemaker-{project_name}-sagemakerpipeline-{construct_id}",
-            description="Rule to enable/disable SM pipeline triggers when a SageMaker Model Building Pipeline is in progress.",
+            description="Rule to enable/disable SM pipeline triggers when a "
+            "SageMaker Model Building Pipeline is in progress.",
             event_pattern=events.EventPattern(
                 source=["aws.sagemaker"],
                 detail_type=[
diff --git a/infra/deploy_pipeline_construct.py b/infra/deploy_pipeline_construct.py
index ef284f4..523e569 100644
--- a/infra/deploy_pipeline_construct.py
+++ b/infra/deploy_pipeline_construct.py
@@ -101,13 +101,14 @@ def __init__(
             pipeline_name=f"sagemaker-{project_name}-{construct_id}",
         )
 
-        source_stage = code_pipeline.add_stage(
+        _  = code_pipeline.add_stage(
             stage_name="Source",
             actions=[
                 codepipeline_actions.CodeCommitSourceAction(
                     action_name="CodeCommit_Source",
                     repository=code,
-                    trigger=codepipeline_actions.CodeCommitTrigger.NONE,  # Created below
+                    # Created rule below to give it a custom name
+                    trigger=codepipeline_actions.CodeCommitTrigger.NONE,
                     event_role=event_role,
                     output=source_output,
                     branch=branch_name,
@@ -116,7 +117,7 @@ def __init__(
             ],
         )
 
-        build_stage = code_pipeline.add_stage(
+        _  = code_pipeline.add_stage(
             stage_name="Build",
             actions=[
                 codepipeline_actions.CodeBuildAction(
@@ -130,7 +131,9 @@ def __init__(
                 ),
             ],
         )
-        staging_deploy_stage = code_pipeline.add_stage(
+
+        staging_stack_name = f"sagemaker-{project_name}-{construct_id}-staging"
+        _ = code_pipeline.add_stage(
             stage_name="DeployStaging",
             actions=[
                 codepipeline_actions.CloudFormationCreateUpdateStackAction(
@@ -139,7 +142,7 @@ def __init__(
                     template_path=cdk_build_output.at_path(
                         "drift-deploy-staging.template.json"
                     ),
-                    stack_name=f"sagemaker-{project_name}-{construct_id}-staging",
+                    stack_name=staging_stack_name,
                     admin_permissions=False,
                     deployment_role=cloudformation_role,
                     role=code_pipeline_role,
@@ -153,7 +156,7 @@ def __init__(
                 ),
             ],
         )
-        production_deploy_stage = code_pipeline.add_stage(
+        _ = code_pipeline.add_stage(
             stage_name="DeployProd",
             actions=[
                 codepipeline_actions.CloudFormationCreateUpdateStackAction(
@@ -168,15 +171,22 @@ def __init__(
                     role=code_pipeline_role,
                     replace_on_failure=True,
                 ),
+                codepipeline_actions.CloudFormationDeleteStackAction(
+                    action_name="Delete_CFN_Staging",
+                    stack_name=staging_stack_name,
+                    admin_permissions=False,
+                    deployment_role=cloudformation_role,
+                    role=code_pipeline_role,
+                ),
             ],
         )
 
-        # Add deploy role to target the code pipeline when model package is approved
         events.Rule(
             self,
             "ModelRegistryRule",
             rule_name=f"sagemaker-{project_name}-modelregistry-{construct_id}",
-            description="Rule to trigger a deployment when SageMaker Model registry is updated with a new model package.",
+            description="Rule to trigger a deployment when SageMaker Model registry "
+            "is updated with a new model package.",
             event_pattern=events.EventPattern(
                 source=["aws.sagemaker"],
                 detail_type=["SageMaker Model Package State Change"],
@@ -199,7 +209,8 @@ def __init__(
             self,
             "CodeCommitRule",
             rule_name=f"sagemaker-{project_name}-codecommit-{construct_id}",
-            description="Rule to trigger a deployment when configuration is updated in CodeCommit.",
+            description="Rule to trigger a deployment when configuration is updated "
+            "in CodeCommit.",
             event_pattern=events.EventPattern(
                 source=["aws.codecommit"],
                 detail_type=["CodeCommit Repository State Change"],
diff --git a/infra/pipeline_product_stack.py b/infra/pipeline_product_stack.py
index a07d4b1..68c821b 100644
--- a/infra/pipeline_product_stack.py
+++ b/infra/pipeline_product_stack.py
@@ -70,13 +70,15 @@ def __init__(
         branch_name = "main"
 
         if build_pipeline:
-            # Require a schedule parameter (must be cron, otherwise will trigger every time rate is enabled/disabled)
+            # Require a schedule parameter (must be cron, otherwise will trigger every
+            # time rate is enabled/disabled)
             # https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/ScheduledEvents.html
             retrain_schedule = cdk.CfnParameter(
                 self,
                 "RetrainSchedule",
                 type="String",
-                description="The expression to retrain schedule.  Defaults to first day of the month.",
+                description="The expression to retrain schedule.  Defaults to first "
+                "day of the month.",
                 default="cron(0 12 1 * ? *)",  # 1st of the month at 12am
                 min_length=1,
             )
@@ -126,6 +128,7 @@ def __init__(
                 seed_bucket=seed_bucket.bucket_name,
                 seed_key="batch_pipeline.zip",
                 batch_schedule=batch_schedule.value_as_string,
+                lowercase_lambda=lowercase_lambda
             )
 
         if deploy_pipeline:
diff --git a/infra/service_catalog_stack.py b/infra/service_catalog_stack.py
index 6281506..aaa4a01 100644
--- a/infra/service_catalog_stack.py
+++ b/infra/service_catalog_stack.py
@@ -2,7 +2,6 @@
 from zipfile import ZipFile
 
 import aws_cdk as cdk
-
 from aws_cdk import aws_iam as iam
 from aws_cdk import aws_lambda as lambda_
 from aws_cdk import aws_s3 as s3
@@ -48,7 +47,7 @@ def __init__(
             "PortfolioOwner",
             type="String",
             description="The owner of the portfolio",
-            default="administrator",
+            default="MLOps Admin",
             min_length=1,
             max_length=50,
         )
@@ -72,7 +71,7 @@ def __init__(
             seed_bucket = s3.Bucket(
                 self,
                 "SeedBucket",
-                bucket_name=f"sagemaker-drift-detection-template-seed-{self.account}",
+                bucket_name=f"sagemaker-drift-detection-seed-{self.region}-{self.account}",
                 removal_policy=cdk.RemovalPolicy.DESTROY,
                 auto_delete_objects=True,
             )
@@ -95,14 +94,14 @@ def __init__(
         # Lambda powering the custom resource to convert names to lower case at
         # deploy time
         with open("lambda/lowercase_name.py", encoding="utf8") as fp:
-            lambda_start_pipeline_code = fp.read()
+            lambda_lowercase_code = fp.read()
 
         lowercase_lambda = lambda_.Function(
             self,
             "LowerCaseLambda",
             function_name="sagemaker-lowercase-names",
             description="Returns the lowercase version of a string",
-            code=lambda_.Code.from_inline(lambda_start_pipeline_code),
+            code=lambda_.Code.from_inline(lambda_lowercase_code),
             handler="index.lambda_handler",
             runtime=lambda_.Runtime.PYTHON_3_8,
             timeout=cdk.Duration.seconds(3),
@@ -138,6 +137,53 @@ def __init__(
         )
 
         sm_roles = SageMakerSCRoles(self, "SageMakerSCRoles", mutable=True)
+
+        code_build_role = sm_roles.code_build_role
+        code_build_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=["sagemaker:DescribeTrainingJob"],
+                resources=[
+                    self.format_arn(
+                        resource="training-job",
+                        service="sagemaker",
+                        resource_name="*",
+                    ),
+                ],
+            )
+        )
+
+        code_build_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=[
+                    "sagemaker:QueryLineage",
+                    "sagemaker:ListArtifacts",
+                    "sagemaker:ListTags",
+                ],
+                resources=["*"],
+            )
+        )
+
+        code_build_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=[
+                    "sagemaker:DescribeArtifact",
+                    "sagemaker:DescribeTrialComponent",
+                ],
+                resources=[
+                    self.format_arn(
+                        resource="artifact",
+                        service="sagemaker",
+                        resource_name="*",
+                    ),
+                    self.format_arn(
+                        resource="experiment-trial-component",
+                        service="sagemaker",
+                        resource_name="*",
+                    ),
+                ],
+            )
+        )
+
         # Add endpoint autoscaling policies to CloudFormation role
         cloudformation_role = sm_roles.cloudformation_role
         cloudformation_role.add_to_principal_policy(
@@ -158,6 +204,55 @@ def __init__(
                 resources=["*"],
             )
         )
+        cloudformation_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=[
+                    "events:DescribeRule",
+                    "events:PutRule",
+                    "events:DeleteRule",
+                    "events:PutTargets",
+                    "events:RemoveTargets",
+                    "events:ListTargetsByRule",
+                    "events:ListRuleNamesByTarget",
+                ],
+                resources=[
+                    "*",
+                    self.format_arn(
+                        resource="rule", service="events", resource_name="sagemaker*"
+                    ),
+                ],
+            )
+        )
+        cloudformation_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=[
+                    "ssm:GetParameters",
+                ],
+                resources=[
+                    "*",
+                    self.format_arn(
+                        resource="parameter", service="ssm", resource_name="sagemaker*"
+                    ),
+                ],
+            )
+        )
+        cloudformation_role.add_to_principal_policy(
+            iam.PolicyStatement(
+                actions=[
+                    "iam:PassRole",
+                ],
+                resources=[
+                    "*",
+                    self.format_arn(
+                        resource="role",
+                        service="iam",
+                        resource_name="service-role/AmazonSageMakerServiceCatalogProductsEventsRole",
+                        region="",
+                        account="*",
+                    ),
+                ],
+            )
+        )
 
         # Add permissions to start SM pipelines to the Event Role
         event_role = sm_roles.events_role
@@ -219,7 +314,7 @@ def __init__(
                 "drift:cloudformation_role"
             )
         ) is not None:
-            product_roles.code_build_role = iam.Role.from_role_arn(
+            product_roles.cloudformation_role = iam.Role.from_role_arn(
                 self,
                 "code_build_role",
                 role_arn=cloudformation_role_arn,
diff --git a/poetry.lock b/poetry.lock
index ea3fc68..da4dbd4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,10 +1,37 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
+[[package]]
+name = "appnope"
+version = "0.1.3"
+description = "Disable App Nap on macOS >= 10.9"
+optional = false
+python-versions = "*"
+files = [
+    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
+    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+]
+
+[[package]]
+name = "asttokens"
+version = "2.2.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
+    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
+    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+]
+
+[package.dependencies]
+six = "*"
+
+[package.extras]
+test = ["astroid", "pytest"]
 
 [[package]]
 name = "attrs"
 version = "22.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -21,18 +48,17 @@ tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy
 
 [[package]]
 name = "aws-cdk-asset-awscli-v1"
-version = "2.2.49"
+version = "2.2.172"
 description = "A library that contains the AWS CLI for use in Lambda Layers"
-category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
-    {file = "aws-cdk.asset-awscli-v1-2.2.49.tar.gz", hash = "sha256:d367da8bdc83357792b1ef16b6166d400ef15f2389cf0032b607b6327768a41a"},
-    {file = "aws_cdk.asset_awscli_v1-2.2.49-py3-none-any.whl", hash = "sha256:28df4487e2fa5314d5c39c114e12d366714a1fab2de3269d55c4e544876cae44"},
+    {file = "aws-cdk.asset-awscli-v1-2.2.172.tar.gz", hash = "sha256:4dcfc548d20fdde04584481102a12aa8f376fa1b4cb474dcb3abd83e04cdbe91"},
+    {file = "aws_cdk.asset_awscli_v1-2.2.172-py3-none-any.whl", hash = "sha256:cac5338b82f44d134b9e82c67ec12a8923e0fdfb43ede6429d5b8c033a9797b7"},
 ]
 
 [package.dependencies]
-jsii = ">=1.72.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
@@ -40,7 +66,6 @@ typeguard = ">=2.13.3,<2.14.0"
 name = "aws-cdk-asset-kubectl-v20"
 version = "2.1.1"
 description = "A library that contains kubectl for use in Lambda Layers"
-category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
@@ -55,47 +80,55 @@ typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "aws-cdk-asset-node-proxy-agent-v5"
-version = "2.0.38"
+version = "2.0.145"
 description = "@aws-cdk/asset-node-proxy-agent-v5"
-category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
-    {file = "aws-cdk.asset-node-proxy-agent-v5-2.0.38.tar.gz", hash = "sha256:eb80e0098899bd29e4f0938c68802cc022a8e39af8c05de4053f9a209e63bb7c"},
-    {file = "aws_cdk.asset_node_proxy_agent_v5-2.0.38-py3-none-any.whl", hash = "sha256:0add1debe24e566b8d2cf713ca85eb5e82c42de00f737dfbf02e18e22220a41b"},
+    {file = "aws-cdk.asset-node-proxy-agent-v5-2.0.145.tar.gz", hash = "sha256:b8dbacb7a9621683cfb492a7957720d69a0fd74dd93adc5f50556e5fe5adc2a3"},
+    {file = "aws_cdk.asset_node_proxy_agent_v5-2.0.145-py3-none-any.whl", hash = "sha256:9accfd5a7df2cd9b8e60c361140b5997f788ceb9bb02e6091cffd523263e4144"},
 ]
 
 [package.dependencies]
-jsii = ">=1.72.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
 [[package]]
 name = "aws-cdk-lib"
-version = "2.59.0"
+version = "2.79.1"
 description = "Version 2 of the AWS Cloud Development Kit library"
-category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
-    {file = "aws-cdk-lib-2.59.0.tar.gz", hash = "sha256:1faeced63e37a4caa58472ba368664e3aea935b3193ccbc3f4f55a81d93b59d1"},
-    {file = "aws_cdk_lib-2.59.0-py3-none-any.whl", hash = "sha256:0f8718be6951facac8044c286e49c6459a00a833d9d8c56274f27af41ed194c6"},
+    {file = "aws-cdk-lib-2.79.1.tar.gz", hash = "sha256:7d88118827ed42025c7b661547b38c54b89afef2cd54214459df51104a1034c3"},
+    {file = "aws_cdk_lib-2.79.1-py3-none-any.whl", hash = "sha256:89f51117cc9c2cb2561605fdd5641ceb705ebe0185276dab799193783a70123b"},
 ]
 
 [package.dependencies]
-"aws-cdk.asset-awscli-v1" = ">=2.2.30,<3.0.0"
+"aws-cdk.asset-awscli-v1" = ">=2.2.165,<3.0.0"
 "aws-cdk.asset-kubectl-v20" = ">=2.1.1,<3.0.0"
-"aws-cdk.asset-node-proxy-agent-v5" = ">=2.0.38,<3.0.0"
+"aws-cdk.asset-node-proxy-agent-v5" = ">=2.0.139,<3.0.0"
 constructs = ">=10.0.0,<11.0.0"
-jsii = ">=1.72.0,<2.0.0"
+jsii = ">=1.80.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
+[[package]]
+name = "backcall"
+version = "0.2.0"
+description = "Specifications for callback functions passed in to an API"
+optional = false
+python-versions = "*"
+files = [
+    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
+    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
+]
+
 [[package]]
 name = "black"
 version = "22.12.0"
 description = "The uncompromising code formatter."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -129,18 +162,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.26.42"
+version = "1.26.133"
 description = "The AWS SDK for Python"
-category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "boto3-1.26.42-py3-none-any.whl", hash = "sha256:75c995a04723f23e35e16ea491ed91a1345e2fa6492678a216488512308dada1"},
-    {file = "boto3-1.26.42.tar.gz", hash = "sha256:4cfd7e05e4033dbca2cc59bcfdafbdaef9d83dc3c0448917569b301d85766d9d"},
+    {file = "boto3-1.26.133-py3-none-any.whl", hash = "sha256:62285ecee7629a4388d55ae369536f759622d68d5b9a0ced7c58a0c1a409c0f7"},
+    {file = "boto3-1.26.133.tar.gz", hash = "sha256:8ff0af0b25266a01616396abc19eb34dc3d44bd867fa4158985924128b9034fb"},
 ]
 
 [package.dependencies]
-botocore = ">=1.29.42,<1.30.0"
+botocore = ">=1.29.133,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -149,14 +181,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.29.42"
+version = "1.29.133"
 description = "Low-level, data-driven core of boto 3."
-category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "botocore-1.29.42-py3-none-any.whl", hash = "sha256:f52f9dbd7ad42b3528c1052086c1a7b6122a018f919afdb604f2889caefe8092"},
-    {file = "botocore-1.29.42.tar.gz", hash = "sha256:d05c62f64e76194c40f598f5f7c804ec50d9820e9f03f6e0198558e4ace167c4"},
+    {file = "botocore-1.29.133-py3-none-any.whl", hash = "sha256:b266185d7414a559952569005009a400de50af91fd3da44f05cf05b00946c4a7"},
+    {file = "botocore-1.29.133.tar.gz", hash = "sha256:7b38e540f73c921d8cb0ac72794072000af9e10758c04ba7f53d5629cc52fa87"},
 ]
 
 [package.dependencies]
@@ -165,13 +196,12 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.15.3)"]
+crt = ["awscrt (==0.16.9)"]
 
 [[package]]
 name = "cattrs"
 version = "22.2.0"
 description = "Composable complex class support for attrs and dataclasses."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -187,7 +217,6 @@ exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 name = "click"
 version = "8.1.3"
 description = "Composable command line interface toolkit"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -198,11 +227,21 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
+name = "cloudpickle"
+version = "2.2.1"
+description = "Extended pickling support for Python objects"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "cloudpickle-2.2.1-py3-none-any.whl", hash = "sha256:61f594d1f4c295fa5cd9014ceb3a1fc4a70b0de1164b94fbc2d854ccba056f9f"},
+    {file = "cloudpickle-2.2.1.tar.gz", hash = "sha256:d89684b8de9e34a2a43b3460fbca07d09d6e25ce858df4d5a44240403b6178f5"},
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -212,18 +251,17 @@ files = [
 
 [[package]]
 name = "constructs"
-version = "10.1.209"
+version = "10.2.23"
 description = "A programming model for software-defined state"
-category = "main"
 optional = false
 python-versions = "~=3.7"
 files = [
-    {file = "constructs-10.1.209-py3-none-any.whl", hash = "sha256:fb61b038e12f4f99550dd7537ba1f2a324e59242d0719ec5ef371b66492c7642"},
-    {file = "constructs-10.1.209.tar.gz", hash = "sha256:679235f1d331f75fa170af8f6e7ed088bcd5114f91d48c6a971e266447491a6b"},
+    {file = "constructs-10.2.23-py3-none-any.whl", hash = "sha256:c10192e7c346d02b95eb4cf4954304b309890a074edaf30b30763acd5603db9a"},
+    {file = "constructs-10.2.23.tar.gz", hash = "sha256:a8adedcf359f6d9e7c154d7d066691ac57ad33203846d6231c8ac480652b3ae2"},
 ]
 
 [package.dependencies]
-jsii = ">=1.72.0,<2.0.0"
+jsii = ">=1.81.0,<2.0.0"
 publication = ">=0.0.3"
 typeguard = ">=2.13.3,<2.14.0"
 
@@ -231,7 +269,6 @@ typeguard = ">=2.13.3,<2.14.0"
 name = "contextlib2"
 version = "21.6.0"
 description = "Backports and enhancements for the contextlib module"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -239,11 +276,21 @@ files = [
     {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
 ]
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "dill"
 version = "0.3.6"
 description = "serialize all of python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -256,24 +303,36 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.0"
+version = "1.1.1"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.0-py3-none-any.whl", hash = "sha256:327cbda3da756e2de031a3107b81ab7b3770a602c4d16ca618298c526f4bec1e"},
-    {file = "exceptiongroup-1.1.0.tar.gz", hash = "sha256:bcb67d800a4497e1b404c2dd44fca47d3b7a5e5433dbab67f96c1a685cdfdf23"},
+    {file = "exceptiongroup-1.1.1-py3-none-any.whl", hash = "sha256:232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e"},
+    {file = "exceptiongroup-1.1.1.tar.gz", hash = "sha256:d484c3090ba2889ae2928419117447a14daf3c1231d5e30d0aae34f354f01785"},
 ]
 
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "1.2.0"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = "*"
+files = [
+    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
+    {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
+]
+
+[package.extras]
+tests = ["asttokens", "littleutils", "pytest", "rich"]
+
 [[package]]
 name = "google-pasta"
 version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -289,7 +348,6 @@ six = "*"
 name = "importlib-metadata"
 version = "4.13.0"
 description = "Read metadata from Python packages"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -305,11 +363,103 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
 perf = ["ipython"]
 testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
+[[package]]
+name = "importlib-resources"
+version = "5.12.0"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"},
+    {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+
+[[package]]
+name = "ipython"
+version = "8.14.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.9"
+files = [
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+backcall = "*"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+jedi = ">=0.16"
+matplotlib-inline = "*"
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+pygments = ">=2.4.0"
+stack-data = "*"
+traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
+
+[package.extras]
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+kernel = ["ipykernel"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+
+[[package]]
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+version = "0.18.2"
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+optional = false
+python-versions = ">=3.6"
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+
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+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
+testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+
+[[package]]
+name = "jinja2"
+version = "3.1.2"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
+    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jmespath"
 version = "1.0.1"
 description = "JSON Matching Expressions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -321,7 +471,6 @@ files = [
 name = "joblib"
 version = "1.2.0"
 description = "Lightweight pipelining with Python functions"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -331,29 +480,136 @@ files = [
 
 [[package]]
 name = "jsii"
-version = "1.72.0"
+version = "1.81.0"
 description = "Python client for jsii runtime"
-category = "main"
 optional = false
 python-versions = "~=3.7"
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+    {file = "jsii-1.81.0-py3-none-any.whl", hash = "sha256:6d12cd881053bafbac19d2a28fc616497479739784e017534e4cf128ff977b62"},
+    {file = "jsii-1.81.0.tar.gz", hash = "sha256:585f6bedd9b586f48ce058451d24f362ee52936179987dd897a100f5355f228f"},
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-attrs = ">=21.2,<23.0"
+attrs = ">=21.2,<24.0"
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+importlib-resources = ">=5.2.0"
 publication = ">=0.0.3"
 python-dateutil = "*"
 typeguard = ">=2.13.3,<2.14.0"
 typing-extensions = ">=3.7,<5.0"
 
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+name = "jsonpickle"
+version = "3.0.1"
+description = "Python library for serializing any arbitrary object graph into JSON"
+optional = false
+python-versions = ">=3.7"
+files = [
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+testing-libs = ["simplejson", "ujson"]
+
+[[package]]
+name = "jsonschema"
+version = "4.17.3"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -481,17 +749,52 @@ numpy = [
     {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
     {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
 ]
-python-dateutil = ">=2.8.1"
+python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
+tzdata = ">=2022.1"
 
 [package.extras]
-test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.0.0)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
+aws = ["s3fs (>=2021.08.0)"]
+clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
+compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
+computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
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+hdf5 = ["tables (>=3.6.1)"]
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+mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
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+parquet = ["pyarrow (>=7.0.0)"]
+performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
+plot = ["matplotlib (>=3.6.1)"]
+postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
+spss = ["pyreadstat (>=1.1.2)"]
+sql-other = ["SQLAlchemy (>=1.4.16)"]
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+xml = ["lxml (>=4.6.3)"]
+
+[[package]]
+name = "parso"
+version = "0.8.3"
+description = "A Python Parser"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "parso-0.8.3.tar.gz", hash = "sha256:8c07be290bb59f03588915921e29e8a50002acaf2cdc5fa0e0114f91709fafa0"},
+]
+
+[package.extras]
+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
+testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "pathos"
 version = "0.3.0"
 description = "parallel graph management and execution in heterogeneous computing"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -507,37 +810,59 @@ ppft = ">=1.7.6.6"
 
 [[package]]
 name = "pathspec"
-version = "0.10.3"
+version = "0.11.1"
 description = "Utility library for gitignore style pattern matching of file paths."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+]
+
+[[package]]
+name = "pexpect"
+version = "4.8.0"
+description = "Pexpect allows easy control of interactive console applications."
+optional = false
+python-versions = "*"
+files = [
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+    {file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
+]
+
+[package.dependencies]
+ptyprocess = ">=0.5"
+
+[[package]]
+name = "pickleshare"
+version = "0.7.5"
+description = "Tiny 'shelve'-like database with concurrency support"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
 ]
 
 [[package]]
 name = "platformdirs"
-version = "2.6.2"
+version = "3.5.1"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "platformdirs-3.5.1.tar.gz", hash = "sha256:412dae91f52a6f84830f39a8078cecd0e866cb72294a5c66808e74d5e88d251f"},
 ]
 
 [package.extras]
-docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
+docs = ["furo (>=2023.3.27)", "proselint (>=0.13)", "sphinx (>=6.2.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.3.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pox"
 version = "0.3.2"
 description = "utilities for filesystem exploration and automated builds"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -549,7 +874,6 @@ files = [
 name = "ppft"
 version = "1.7.6.6"
 description = "distributed and parallel python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -560,11 +884,24 @@ files = [
 [package.extras]
 dill = ["dill (>=0.3.6)"]
 
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.38"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "prompt_toolkit-3.0.38-py3-none-any.whl", hash = "sha256:45ea77a2f7c60418850331366c81cf6b5b9cf4c7fd34616f733c5427e6abbb1f"},
+    {file = "prompt_toolkit-3.0.38.tar.gz", hash = "sha256:23ac5d50538a9a38c8bde05fecb47d0b403ecd0662857a86f886f798563d5b9b"},
+]
+
+[package.dependencies]
+wcwidth = "*"
+
 [[package]]
 name = "protobuf"
 version = "3.20.3"
 description = "Protocol Buffers"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -596,7 +933,6 @@ files = [
 name = "protobuf3-to-dict"
 version = "0.1.5"
 description = "Ben Hodgson: A teeny Python library for creating Python dicts from protocol buffers and the reverse. Useful as an intermediate step before serialisation (e.g. to JSON). Kapor: upgrade it to PB3 and PY3, rename it to protobuf3-to-dict"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -607,11 +943,21 @@ files = [
 protobuf = ">=2.3.0"
 six = "*"
 
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
+]
+
 [[package]]
 name = "publication"
 version = "0.0.3"
 description = "Publication helps you maintain public-api-friendly modules by preventing unintentional access to private implementation details via introspection."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -619,11 +965,74 @@ files = [
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 ]
 
+[[package]]
+name = "pure-eval"
+version = "0.2.2"
+description = "Safely evaluate AST nodes without side effects"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.extras]
+tests = ["pytest"]
+
+[[package]]
+name = "pygments"
+version = "2.15.1"
+description = "Pygments is a syntax highlighting package written in Python."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "Pygments-2.15.1-py3-none-any.whl", hash = "sha256:db2db3deb4b4179f399a09054b023b6a586b76499d36965813c71aa8ed7b5fd1"},
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+]
+
+[package.extras]
+plugins = ["importlib-metadata"]
+
+[[package]]
+name = "pyrsistent"
+version = "0.19.3"
+description = "Persistent/Functional/Immutable data structures"
+optional = false
+python-versions = ">=3.7"
+files = [
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 description = "Extensions to the standard Python datetime module"
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 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
@@ -636,26 +1045,78 @@ six = ">=1.5"
 
 [[package]]
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+version = "2023.3"
 description = "World timezone definitions, modern and historical"
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 python-versions = "*"
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 ]
 
 [[package]]
 name = "s3transfer"
-version = "0.6.0"
+version = "0.6.1"
 description = "An Amazon S3 Transfer Manager"
-category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "s3transfer-0.6.0-py3-none-any.whl", hash = "sha256:06176b74f3a15f61f1b4f25a1fc29a4429040b7647133a463da8fa5bd28d5ecd"},
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 ]
 
 [package.dependencies]
@@ -666,40 +1127,43 @@ crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"]
 
 [[package]]
 name = "sagemaker"
-version = "2.127.0"
+version = "2.154.0"
 description = "Open source library for training and deploying models on Amazon SageMaker."
-category = "dev"
 optional = false
 python-versions = ">= 3.6"
 files = [
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+    {file = "sagemaker-2.154.0.tar.gz", hash = "sha256:4bbd773bb4252a17e0af5ff1cd68358169cc40a60a1753d619b7756ffdde8525"},
 ]
 
 [package.dependencies]
 attrs = ">=20.3.0,<23"
 boto3 = ">=1.26.28,<2.0"
+cloudpickle = "2.2.1"
 google-pasta = "*"
 importlib-metadata = ">=1.4.0,<5.0"
+jsonschema = "*"
 numpy = ">=1.9.0,<2.0"
 packaging = ">=20.0"
 pandas = "*"
 pathos = "*"
+platformdirs = "*"
 protobuf = ">=3.1,<4.0"
 protobuf3-to-dict = ">=0.1.5,<1.0"
+PyYAML = "5.4.1"
 schema = "*"
 smdebug_rulesconfig = "1.0.1"
+tblib = "1.7.0"
 
 [package.extras]
 all = ["PyYAML (==5.4.1)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "scipy (==1.7.3)", "urllib3 (==1.26.8)"]
 local = ["PyYAML (==5.4.1)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "urllib3 (==1.26.8)"]
 scipy = ["scipy (==1.7.3)"]
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+test = ["Jinja2 (==3.0.3)", "PyYAML (==5.4.1)", "apache-airflow (==2.5.1)", "apache-airflow-providers-amazon (==7.2.1)", "attrs (==22.1.0)", "awslogs (==0.14.0)", "black (==22.3.0)", "cloudpickle (==2.2.1)", "contextlib2 (==21.6.0)", "coverage (>=5.2,<6.2)", "docker (>=5.0.2,<7.0.0)", "docker-compose (==1.29.2)", "fabric (==2.6.0)", "flake8 (==4.0.1)", "mock (==4.0.3)", "pandas (>=1.3.5,<1.5)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-rerunfailures (==10.2)", "pytest-timeout (==2.1.0)", "pytest-xdist (==2.4.0)", "pyvis (==0.2.1)", "requests (==2.27.1)", "sagemaker-experiments (==0.1.35)", "scikit-learn (==1.0.2)", "scipy (==1.7.3)", "stopit (==1.1.2)", "tox (==3.24.5)", "urllib3 (==1.26.8)"]
 
 [[package]]
 name = "schema"
 version = "0.7.5"
 description = "Simple data validation library"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -714,7 +1178,6 @@ contextlib2 = ">=0.5.5"
 name = "scikit-learn"
 version = "0.23.0"
 description = "A set of python modules for machine learning and data mining"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -749,7 +1212,6 @@ alldeps = ["numpy (>=1.13.3)", "scipy (>=0.19.1)"]
 name = "scipy"
 version = "1.9.3"
 description = "Fundamental algorithms for scientific computing in Python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -788,7 +1250,6 @@ test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "sciki
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -800,7 +1261,6 @@ files = [
 name = "smdebug-rulesconfig"
 version = "1.0.1"
 description = "SMDebug RulesConfig"
-category = "dev"
 optional = false
 python-versions = ">=2.7"
 files = [
@@ -808,11 +1268,40 @@ files = [
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 ]
 
+[[package]]
+name = "stack-data"
+version = "0.6.2"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"},
+]
+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
+[[package]]
+name = "tblib"
+version = "1.7.0"
+description = "Traceback serialization library."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "tblib-1.7.0-py2.py3-none-any.whl", hash = "sha256:289fa7359e580950e7d9743eab36b0691f0310fce64dee7d9c31065b8f723e23"},
+    {file = "tblib-1.7.0.tar.gz", hash = "sha256:059bd77306ea7b419d4f76016aef6d7027cc8a0785579b5aad198803435f882c"},
+]
+
 [[package]]
 name = "threadpoolctl"
 version = "3.1.0"
 description = "threadpoolctl"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -824,7 +1313,6 @@ files = [
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -832,11 +1320,25 @@ files = [
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
 ]
 
+[[package]]
+name = "traitlets"
+version = "5.9.0"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
+    {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
+
 [[package]]
 name = "typeguard"
 version = "2.13.3"
 description = "Run-time type checker for Python"
-category = "main"
 optional = false
 python-versions = ">=3.5.3"
 files = [
@@ -850,26 +1352,35 @@ test = ["mypy", "pytest", "typing-extensions"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.4.0"
+version = "4.5.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
-    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
+    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
+    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
+    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "1.26.13"
+version = "1.26.15"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
-    {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
+    {file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
+    {file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
 ]
 
 [package.extras]
@@ -877,11 +1388,21 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
 secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
+[[package]]
+name = "wcwidth"
+version = "0.2.6"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
+    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+]
+
 [[package]]
 name = "xgboost"
 version = "1.2.0"
 description = "XGBoost Python Package"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -904,21 +1425,20 @@ scikit-learn = ["scikit-learn"]
 
 [[package]]
 name = "zipp"
-version = "3.11.0"
+version = "3.15.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "zipp-3.11.0-py3-none-any.whl", hash = "sha256:83a28fcb75844b5c0cdaf5aa4003c2d728c77e05f5aeabe8e95e56727005fbaa"},
-    {file = "zipp-3.11.0.tar.gz", hash = "sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"},
+    {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+    {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
-testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "73c3cd44dc9cf4176865170f7d5ed76422d60ef23d2639b2057351e3c1e69c04"
+content-hash = "c39f54f0f5989a553139d830192f9fbabfc4fca0f97ecac47e443992ef825845"
diff --git a/pyproject.toml b/pyproject.toml
index 5e445be..8b72850 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,6 @@ authors = ["y"]
 
 [tool.poetry.dependencies]
 python = "^3.9"
-boto3="^1.18.14"
 aws-cdk-lib = "^2.38.0"
 constructs = "^10.1.79"
 
@@ -18,6 +17,8 @@ black = {version = "^22.10.0", allow-prereleases = true}
 sagemaker = "^2.112.2"
 xgboost = "1.2"
 scikit-learn = "0.23"
+boto3="^1.18.14"
+pyvis = "^0.3.2"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/requirements.txt b/requirements.txt
index 5bc3b91..79093f6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,19 +1,14 @@
 attrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-asset-awscli-v1==2.2.49 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-awscli-v1==2.2.64 ; python_version >= "3.9" and python_version < "4.0"
 aws-cdk-asset-kubectl-v20==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-asset-node-proxy-agent-v5==2.0.38 ; python_version >= "3.9" and python_version < "4.0"
-aws-cdk-lib==2.59.0 ; python_version >= "3.9" and python_version < "4.0"
-boto3==1.26.42 ; python_version >= "3.9" and python_version < "4.0"
-botocore==1.29.42 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-asset-node-proxy-agent-v5==2.0.53 ; python_version >= "3.9" and python_version < "4.0"
+aws-cdk-lib==2.64.0 ; python_version >= "3.9" and python_version < "4.0"
 cattrs==22.2.0 ; python_version >= "3.9" and python_version < "4.0"
-constructs==10.1.209 ; python_version >= "3.9" and python_version < "4.0"
+constructs==10.1.247 ; python_version >= "3.9" and python_version < "4.0"
 exceptiongroup==1.1.0 ; python_version >= "3.9" and python_version < "3.11"
-jmespath==1.0.1 ; python_version >= "3.9" and python_version < "4.0"
-jsii==1.72.0 ; python_version >= "3.9" and python_version < "4.0"
+jsii==1.74.0 ; python_version >= "3.9" and python_version < "4.0"
 publication==0.0.3 ; python_version >= "3.9" and python_version < "4.0"
 python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "4.0"
-s3transfer==0.6.0 ; python_version >= "3.9" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
 typeguard==2.13.3 ; python_version >= "3.9" and python_version < "4.0"
 typing-extensions==4.4.0 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==1.26.13 ; python_version >= "3.9" and python_version < "4.0"