updated generative AI lesson

.github/workflows/azure-static-web-apps-red-field-0a6ddfd03.yml

@@ -16,6 +16,13 @@ jobs:
       checks: none
     if: github.event_name == 'push' || (github.event_name == 'pull_request' && github.event.action != 'closed')
     runs-on: ubuntu-latest
+    permissions:
+      actions: read
+      contents: read
+      deployments: read
+      packages: none
+      pull-requests: write
+      security-events: write
     name: Build and Deploy Job
     steps:
       - uses: actions/checkout@v2
@@ -39,6 +46,13 @@ jobs:
     if: github.event_name == 'pull_request' && github.event.action == 'closed'
     runs-on: ubuntu-latest
     name: Close Pull Request Job
+    permissions:
+      actions: read
+      contents: read
+      deployments: read
+      packages: none
+      pull-requests: write
+      security-events: write
     steps:
       - name: Close Pull Request
         id: closepullrequest

README.md

@@ -194,3 +194,4 @@ Our team produces other curricula! Check out:
 - [Machine Learning for Beginners](https://aka.ms/ml-beginners)
 - [XR Development for Beginners](https://aka.ms/xr-dev-for-beginners)
 - [Mastering GitHub Copilot for AI Paired Programming](https://aka.ms/GitHubCopilotAI)
+

etc/how-to-run.md

@@ -28,6 +28,7 @@ Probably the best way to use the curriculum is to open it in [Visual Studio Code
 You can also use Jupyter environment right from the browser on your own computer. Actually, both classical Jupyter and Jupyer Hub provide quite convenient development environment with auto-completion, code highlighting, etc.
 
 To start Jupyter locally, go to the directory of the course, and execute:
+
 ```bash
 jupyter notebook
 ```