fixing index.yml files

Author: MScalopez

learn-pr/wwl-data-ai/enhance-postgresql-development-github-copilot-visual-studio-code/index.yml

@@ -7,6 +7,8 @@ metadata:
   author: wwlpublish
   ms.author: calopez
   ms.topic: module
+  ms.service: azure-database-postgresql
+  ai-usage: ai-assisted
 title: Develop PostgreSQL solutions in Visual Studio Code with the PostgreSQL extension and GitHub Copilot
 summary: Learn how to streamline PostgreSQL development using the Visual Studio Code PostgreSQL extension and GitHub Copilot.
 abstract: Learn how GitHub Copilot and the PostgreSQL extension support writing, refining, and troubleshooting SQL in Visual Studio Code.
@@ -23,7 +25,11 @@ roles:
   - data-engineer
 products:
   - azure
-  - azure-postgresql
+  - azure-database-postgresql
+subjects:
+  - databases
+  - artificial-intelligence
+  - cloud-computing
 units:
   - learn.wwl.enhance-postgresql-development-github-copilot-visual-studio-code.introduction
   - learn.wwl.enhance-postgresql-development-github-copilot-visual-studio-code.understand-postgresql-extension
@@ -32,3 +38,5 @@ units:
   - learn.wwl.enhance-postgresql-development-github-copilot-visual-studio-code.exercise-enhance-postgresql-development-github-copilot
   - learn.wwl.enhance-postgresql-development-github-copilot-visual-studio-code.knowledge-check
   - learn.wwl.enhance-postgresql-development-github-copilot-visual-studio-code.summary
+badge:
+  uid: learn.wwl.build-rag-applications-azure-database-postgresql.badge

learn-pr/wwl-data-ai/implement-generative-ai-agents-azure-postgresql/index.yml

@@ -10,14 +10,14 @@ metadata:
   ms.service: azure-database-postgresql
   ai-usage: ai-assisted
 title: Implement generative AI agents with Azure Database for PostgreSQL
-summary:
-  abstract: |
-    By the end of this module, you'll be able to:
-    * Understand agent architectures and frameworks
-    * Apply information retrieval for agents
-    * Implement and integrate agents with Azure services
-    * Build and test an AI agent solution
-    * Assess your knowledge of generative AI agents
+summary: This module explores how to implement generative AI agents using Azure Database for PostgreSQL. You'll learn about agent architectures, information retrieval techniques, and how to integrate AI agents with Azure services like Azure AI Foundry Agent Service and Model Context Protocol (MCP). The module includes hands-on exercises to build and test an AI agent solution.
+abstract: |
+  By the end of this module, you'll be able to:
+  * Understand agent architectures and frameworks
+  * Apply information retrieval for agents
+  * Implement and integrate agents with Azure services
+  * Build and test an AI agent solution
+  * Assess your knowledge of generative AI agents
 prerequisites: |
   * Ability to write basic SQL queries
   * Comfortable with provisioning Azure resources and enabling extensions
@@ -40,8 +40,8 @@ units:
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.understand-ai-agents-azure-database-postgresql
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.apply-information-retrieval-agents
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.evaluate-agentic-frameworks-integration-postgresql
-  - learn.wwl.implement-generative-ai-agents-azure-postgresql.implement-ai-agents-azure-ai-foundry-agent-service
-  - learn.wwl.implement-generative-ai-agents-azure-postgresql.exercise-build-ai-agent-azure-ai-foundry-azure-database-postgresql
+  - learn.wwl.implement-generative-ai-agents-azure-postgresql.implement-ai-agents-foundry-agent-service
+  - learn.wwl.implement-generative-ai-agents-azure-postgresql.exercise-build-ai-agent-foundry-azure-database-postgresql
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.integrate-ai-agents-mcp-postgresql
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.knowledge-check
   - learn.wwl.implement-generative-ai-agents-azure-postgresql.summary