Merge pull request #53326 from sherzyang/main

Minor update to module and LP.

Author: JillGrant615

learn-pr/paths/get-started-ai-apps-agents/index.yml

@@ -1,17 +1,17 @@
 ### YamlMime:LearningPath
 uid: learn.wwl.get-started-ai-apps-agents
 metadata:
-  title: Get started with AI apps and agents on Azure
+  title: Get started with AI applications and agents on Azure
   description: Learn how to get started with AI workloads and solutions in Microsoft Foundry.
   brand: azure
-  ms.date: 01/21/2026
+  ms.date: 02/03/2026
   author: sherzyang
   ms.author: sheryang
   ms.topic: learning-path
-title: Get started with AI apps and agents on Azure
+title: Get started with AI applications and agents on Azure
 summary: |
   Learn how to get started with AI workloads and solutions in Microsoft Foundry. Start with a basic introduction and then dive into common AI workloads like:
-  - Generative AI and AI agents
+  - Generative AI and agents
   - Text analysis
   - Speech
   - Computer vision
@@ -30,10 +30,6 @@ products:
 - azure-ai-foundry
 modules:
 - learn.wwl.get-started-ai-in-foundry
-- learn.wwl.get-started-generative-ai-azure
-- learn.wwl.get-started-language-azure
-- learn.wwl.recognize-synthesize-speech
-- learn.wwl.get-started-computer-vision
-- learn.wwl.ai-information-extraction
+- learn.wwl.get-started-with-generative-ai-and-agents
 trophy:
   uid: learn.get-started-ai-apps-agents.trophy

learn-pr/wwl-data-ai/get-started-with-generative-ai-and-agents/includes/5-using-an-agent.md

@@ -82,4 +82,4 @@ If your workload is spiky, unpredictable, or low volume, use Serverless API (pay
 
 If your workload is steady, high‑volume, or has strict latency needs, use Provisioned Throughput (PTU). PTUs reserve dedicated processing capacity and guarantee predictable latency. PTUs can lead to substantial cost savings for high throughput workloads.
 
-Agentic AI powers cutting edge AI solutions are automating and accelerating business processes every day. With Microsoft Foundry, you can develop scalable secure agents using the latest models and technologies. This module is just the start of your journey.
+Next, use Microsoft Foundry to deploy and explore a generative AI model. 

learn-pr/wwl-data-ai/get-started-with-generative-ai-and-agents/includes/6-exercise.md

@@ -1,3 +1,5 @@
+In this exercise, you’ll use Microsoft Foundry to deploy and explore a generative AI model. You’ll then use the model in an agent that includes knowledge tools to answer user questions.
+
 If you have an Azure subscription, you can explore Microsoft Foundry for yourself.
 
 > [!NOTE]

learn-pr/wwl-data-ai/get-started-with-generative-ai-and-agents/index.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.get-started-with-generative-ai-and-agents
 metadata:
   title: Get started with generative AI and agents in Azure
-  description: "Learn how to create and use generative AI models and agents in Foundry."
+  description: "Learn how to use generative AI models and agents with Microsoft Foundry."
   ms.date: 1/28/2026
   author: sherzyang
   ms.author: sheryang
@@ -11,7 +11,7 @@ metadata:
   ms.collection:
     - wwl-ai-copilot
 title: Get started with generative AI and agents in Azure
-summary: "Learn how to create and use generative AI models and agents in Foundry."
+summary: "Learn how to use generative AI models and agents with Microsoft Foundry."
 abstract: |
   By the end of this module, you'll be able to:
   - Describe how an agent encapsulates model behavior using system instructions and tools