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StatCan · Oct 12, 2023 · bec1471 · bec1471
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diff --git a/docs/en/1-Experiments/Jupyter.md b/docs/en/1-Experiments/Jupyter.md
@@ -20,7 +20,7 @@ Jupyter comes with a number of features (and we can add more)
 [![Explore your data](../images/ExploreData.PNG)](/2-Publishing/Datasette/)
 </center>
 
-Use **[Datasette](../2-Publishing/Datasette/)** , an instant JSON API for your SQLite databases. Run SQL queries in a more interactive way!
+Use **[Datasette](~../2-Publishing/Datasette.md/)** , an instant JSON API for your SQLite databases. Run SQL queries in a more interactive way!
 
 ### IDE in the browser
 

diff --git a/docs/en/1-Experiments/Kubeflow.md b/docs/en/1-Experiments/Kubeflow.md
@@ -11,13 +11,14 @@ for your team.
 
 **Let's get started!**
 
+<!-- Video is removed until weget the green light to activate it again
+
 # Video Tutorial
 
-<!-- prettier-ignore -->
 !!! note ""
     This video is not up to date, some things have changed since.
 
-[![Click here for the video](../images/KubeflowVideo.PNG)](https://www.youtube.com/watch?v=xaI6ExYdxc4&list=PL1zlA2D7AHugkDdiyeUHWOKGKUd3MB_nD&index=1 "Advanced Analytics Workspace - Kubeflow Getting Started")
+[![Click here for the video](../images/KubeflowVideo.PNG)](https://www.youtube.com/watch?v=xaI6ExYdxc4&list=PL1zlA2D7AHugkDdiyeUHWOKGKUd3MB_nD&index=1 "Advanced Analytics Workspace - Kubeflow Getting Started") -->
 
 # Setup
 

diff --git a/mkdocs-en.yml b/mkdocs-en.yml
@@ -91,13 +91,13 @@ nav:
   - Gitlab:
       - Gitlab: 6-Gitlab/Gitlab.md
   - MLOps:
-      - Overview: 7-Pipelines/Overview.md
-      - Machine Learning Models: 7-Pipelines/Machine-Learning.md
-      - Training ML Models: 7-Pipelines/Machine-Learning-Training-Pipelines.md
-      - Storing ML Models: 7-Pipelines/Machine-Learning-Model-Cloud-Storage.md
+      - Overview: 7-MLOps/Overview.md
+      - Machine Learning Models: 7-MLOps/Machine-Learning.md
+      - Training ML Models: 7-MLOps/Machine-Learning-Training-Pipelines.md
+      - Storing ML Models: 7-MLOps/Machine-Learning-Model-Cloud-Storage.md
       - Serving ML Models: 
-        - Introduction: 7-Pipelines/Machine-Learning-Model-Serving.md
+        - Introduction: 7-MLOps/Machine-Learning-Model-Serving.md
         - Example Notebooks:
-          - Seldon Iris Classifier: 7-Pipelines/sklearn_iris_jsondata.ipynb
-      - Integrate with External PaaS: 7-Pipelines/PaaS-Integration.md
+          - Seldon Iris Classifier: 7-MLOps/sklearn_iris_jsondata.ipynb
+      - Integrate with External PaaS: 7-MLOps/PaaS-Integration.md
   - Help/Contact: Help.md