Merge branch 'MicrosoftDocs:main' into petender-manage-ado-mcp-server

Author: petender

learn-pr/paths/develop-ai-agents-on-azure/index.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.develop-ai-agent-on-azure
 hidden: true
 metadata:
-  title: Develop AI Agents on Azure 
+  title: Develop AI Agents on Azure
   description: Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
   ms.date: 01/16/2026
   author: wwlpublish
@@ -11,35 +11,34 @@ metadata:
   ms.collection: wwl-ai-copilot
 title: Develop AI agents on Azure
 prerequisites: |
-  Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the [Get started with artificial intelligence](/training/paths/get-started-with-artificial-intelligence-on-azure) learning path first.
+  Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the [Get started with AI applications and agents on Azure](/training/paths/get-started-ai-apps-agents) learning path first.
 summary: |
   Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Microsoft Foundry Agent Service and Microsoft Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
 iconUrl: /training/achievements/generic-badge.svg
 levels:
-- intermediate
+  - intermediate
 roles:
-- ai-engineer
+  - ai-engineer
 products:
-- ai-services
-- azure-ai-foundry
-- azure-ai-foundry-agent-service
-- azure-ai-foundry-sdk
+  - ai-services
+  - azure-ai-foundry
+  - azure-ai-foundry-agent-service
+  - azure-ai-foundry-sdk
 subjects:
-- artificial-intelligence
-- machine-learning
-- natural-language-processing
+  - artificial-intelligence
+  - machine-learning
+  - natural-language-processing
 modules:
-- learn.wwl.ai-agent-fundamentals
-- learn.wwl.develop-ai-agent-azure
-- learn.wwl.develop-ai-agents-vs-code
-- learn.wwl.build-agent-with-custom-tools
-- learn.wwl.develop-multi-agent-azure-ai-foundry
-- learn.wwl.connect-agent-to-mcp-tools
-- learn.wwl.develop-ai-agent-with-semantic-kernel
-- learn.wwl.orchestrate-sk-multi-agent-solution
-- learn.wwl.discover-agents-with-a2a
-- learn.wwl.build-agent-workflows-microsoft-foundry
-- learn.wwl.introduction-foundry-iq
+  - learn.wwl.ai-agent-fundamentals
+  - learn.wwl.develop-ai-agent-azure
+  - learn.wwl.develop-ai-agents-vs-code
+  - learn.wwl.build-agent-with-custom-tools
+  - learn.wwl.develop-multi-agent-azure-ai-foundry
+  - learn.wwl.connect-agent-to-mcp-tools
+  - learn.wwl.develop-ai-agent-with-semantic-kernel
+  - learn.wwl.orchestrate-sk-multi-agent-solution
+  - learn.wwl.discover-agents-with-a2a
+  - learn.wwl.build-agent-workflows-microsoft-foundry
+  - learn.wwl.introduction-foundry-iq
 trophy:
   uid: learn.wwl.develop-ai-agent-on-azure.trophy
-

learn-pr/paths/introduction-to-ai-on-azure/index.yml

@@ -1,43 +1,44 @@
 ### YamlMime:LearningPath
 uid: learn.introduction-ai-azure
+hidden: true
 metadata:
   title: "Introduction to AI in Azure"
-  description: This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions, focusing on Microsoft Foundry. 
+  description: This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions, focusing on Microsoft Foundry.
   brand: azure
   ms.date: 12/11/2025
   author: sherzyang
   ms.author: sheryang
   ms.topic: learning-path
 title: "Introduction to AI in Azure"
 summary: |
-  This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. 
+  This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.
 prerequisites: Familiarity with Azure and the Azure portal.
 iconUrl: /training/achievements/document-intelligence-knowledge-mining.svg
 levels:
   - beginner
-roles: 
+roles:
   - ai-engineer
   - developer
   - solution-architect
   - student
-products: 
+products:
   - microsoft-foundry
-subjects: 
+subjects:
   - artificial-intelligence
 modules:
-- learn.wwl.get-started-ai-fundamentals
-- learn.wwl.get-started-ai-in-foundry
-- learn.wwl.fundamentals-machine-learning
-- learn.wwl.design-machine-learning-model-training-solution
-- learn.wwl.fundamentals-generative-ai
-- learn.wwl.get-started-generative-ai-azure
-- learn.wwl.introduction-language
-- learn.wwl.get-started-language-azure
-- learn.wwl.introduction-ai-speech
-- learn.wwl.recognize-synthesize-speech
-- learn.wwl.introduction-computer-vision
-- learn.wwl.get-started-computer-vision
-- learn.wwl.introduction-information-extraction
-- learn.wwl.ai-information-extraction
+  - learn.wwl.get-started-ai-fundamentals
+  - learn.wwl.get-started-ai-in-foundry
+  - learn.wwl.fundamentals-machine-learning
+  - learn.wwl.design-machine-learning-model-training-solution
+  - learn.wwl.fundamentals-generative-ai
+  - learn.wwl.get-started-generative-ai-azure
+  - learn.wwl.introduction-language
+  - learn.wwl.get-started-language-azure
+  - learn.wwl.introduction-ai-speech
+  - learn.wwl.recognize-synthesize-speech
+  - learn.wwl.introduction-computer-vision
+  - learn.wwl.get-started-computer-vision
+  - learn.wwl.introduction-information-extraction
+  - learn.wwl.ai-information-extraction
 trophy:
   uid: learn.introduction-ai-azure.trophy

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/1-introduction.yml

@@ -4,8 +4,8 @@ title: Introduction
 metadata:
   title: Introduction
   description: "Introduction"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/2-examine-code-development-features-github-copilot.yml

@@ -4,8 +4,8 @@ title: Examine the code development features of GitHub Copilot
 metadata:
   title: Examine the code development features of GitHub Copilot
   description: "Examine the code development features of GitHub Copilot"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/3-examine-github-copilot-best-practices.yml

@@ -4,8 +4,8 @@ title: Examine GitHub Copilot best practices
 metadata:
   title: Examine GitHub Copilot best practices
   description: "Examine GitHub Copilot best practices"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/4-generate-code-github-copilot-code-completions.yml

@@ -4,8 +4,8 @@ title: Generate code using GitHub Copilot code completion suggestions
 metadata:
   title: Generate code using GitHub Copilot code completion suggestions
   description: "Generate code using GitHub Copilot code completion suggestions"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/5-generate-code-github-copilot-chat.yml

@@ -4,8 +4,8 @@ title: Generate code using GitHub Copilot Chat
 metadata:
   title: Generate code using GitHub Copilot Chat
   description: "Generate code using GitHub Copilot Chat"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/6-exercise-develop-code-features-github-copilot.yml

@@ -4,8 +4,8 @@ title: Exercise - Develop new code features using GitHub Copilot
 metadata:
   title: Exercise - Develop new code features using GitHub Copilot
   description: "Exercise - Develop new code features using GitHub Copilot."
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/7-knowledge-check.yml

@@ -4,8 +4,8 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom:
@@ -19,42 +19,42 @@ quiz:
     - content: "Limiting the prompt to coding questions or tasks to enhance the model's output quality."
       isCorrect: true
       explanation: "Correct. Keeping prompts on topic can help improve the quality of the output generated by GitHub Copilot Chat."
-    - content: "Using Copilot Chat as a replacement for human programming."
+    - content: "Using GitHub Copilot Chat as a replacement for human programming."
       isCorrect: false
-      explanation: "Incorrect. Developers should use Copilot Chat as a tool, not a replacement for human programming."
+      explanation: "Incorrect. Developers should use GitHub Copilot Chat as a tool, not a replacement for human programming."
     - content: "Ignoring secure coding and code review practices."
       isCorrect: false
-      explanation: "Incorrect. Developers should follow secure coding and code review practices when using Copilot Chat."
+      explanation: "Incorrect. Developers should follow secure coding and code review practices when using GitHub Copilot Chat."
   - content: "What is the best way to provide context to GitHub Copilot for better code suggestions?"
     choices:
     - content: "By keeping all files closed in the editor."
       isCorrect: false
-      explanation: "Incorrect. Having related files open in the editor helps Copilot analyze the context and create appropriate suggestions."
+      explanation: "Incorrect. Having related files open in the editor helps GitHub Copilot analyze the context and create appropriate suggestions."
     - content: "By using complex function names."
       isCorrect: false
       explanation: "Incorrect. Complex function names can be confusing. Meaningful function names and well-scoped function comments provide better context."
     - content: "By providing meaningful function names, specific function comments, and having related files open in the editor."
       isCorrect: true
-      explanation: "Correct. These methods help Copilot understand the context of the task and generate appropriate suggestions."
+      explanation: "Correct. These methods help GitHub Copilot understand the context of the task and generate appropriate suggestions."
   - content: "How can a developer optimize their experience when interacting with GitHub Copilot via chat?"
     choices:
     - content: "By being vague about the inputs, outputs, APIs, or frameworks they want to use."
       isCorrect: false
       explanation: "Incorrect. The more specific your prompt, the better the outcome."
     - content: "By using chat participants, slash commands, chat variables, and being specific in your prompts."
       isCorrect: true
-      explanation: "Correct. These methods help Copilot understand your intent and provide more targeted and accurate responses."
-    - content: "By asking Copilot to perform large tasks at once."
+      explanation: "Correct. These methods help GitHub Copilot understand your intent and provide more targeted and accurate responses."
+    - content: "By asking GitHub Copilot to perform large tasks at once."
       isCorrect: false
       explanation: "Incorrect. It's better to break down a large task into separate, smaller tasks for more accurate responses."
   - content: "What is the effect of maintaining a high quality bar in your code when using GitHub Copilot?"
     choices:
-    - content: "Copilot latches on to your code to generate suggestions that follow the existing pattern."
+    - content: "GitHub Copilot latches on to your code to generate suggestions that follow the existing pattern."
       isCorrect: true
-      explanation: "Correct. High quality code helps Copilot generate relevant and efficient suggestions."
-    - content: "It confuses Copilot and leads to irrelevant suggestions."
+      explanation: "Correct. High quality code helps GitHub Copilot generate relevant and efficient suggestions."
+    - content: "It confuses GitHub Copilot and leads to irrelevant suggestions."
       isCorrect: false
-      explanation: "Incorrect. High quality code helps Copilot generate suggestions that follow the existing pattern."
+      explanation: "Incorrect. High quality code helps GitHub Copilot generate suggestions that follow the existing pattern."
     - content: "It slows down the suggestion process."
       isCorrect: false
       explanation: "Incorrect. Maintaining high quality doesn't slow down the suggestion process, but rather improves it."

learn-pr/wwl-azure/develop-code-features-using-github-copilot-tools/8-summary.yml

@@ -4,8 +4,8 @@ title: Summary
 metadata:
   title: Summary
   description: "Summary"
-  ms.date: 06/02/2025
-  author: wwlpublish
+  ms.date: 03/03/2026
+  author: chrishowd
   ms.author: cahowd
   ms.topic: unit
   ms.custom: