Merge pull request #49958 from buzahid/sk-agents-updates

Update 5-exercise.md - Fixed forward link

Author: prmerger-automator[bot]

learn-pr/wwl-data-ai/develop-ai-agent-with-semantic-kernel/includes/5-exercise.md

@@ -4,7 +4,7 @@ Now you're ready to build an agent with the Semantic Kernel Agent Framework. In
 
 Launch the exercise and follow the instructions.
 
-[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2277718&azure-portal=true)
+[![Button to launch exercise.](../media/launch-exercise.png)](https://go.microsoft.com/fwlink/?linkid=2313222&azure-portal=true)
 
 > [!TIP]
 > After completing the exercise, if you're finished exploring Azure AI Agents, delete the Azure resources that you created during the exercise.

learn-pr/wwl-data-ai/orchestrate-semantic-kernel-multi-agent-solution/includes/2-understand-agent-framework.md

@@ -34,7 +34,7 @@ The features that power Semantic Kernel are also still available within the Agen
 
 The Semantic Kernel Agent Framework supports several different types of agents, including:
 
-- **Azure AI Agent** - a specialized agent within the Semantic Kernel Agent Framework. The `AsureAIAgent` type is designed to provide advanced conversational capabilities with seamless tool integration. It automates tool calling and securely manages conversation history using threads, reducing the overhead of maintaining state. The `AzureAIAgent` also supports a variety of built-in tools, including file retrieval, code execution, and data interaction via Bing, Azure AI Search, Azure Functions, and OpenAPI.
+- **Azure AI Agent** - a specialized agent within the Semantic Kernel Agent Framework. The `AzureAIAgent` type is designed to provide advanced conversational capabilities with seamless tool integration. It automates tool calling and securely manages conversation history using threads, reducing the overhead of maintaining state. The `AzureAIAgent` also supports a variety of built-in tools, including file retrieval, code execution, and data interaction via Bing, Azure AI Search, Azure Functions, and OpenAPI.
 
 - **Chat Completion Agent**: designed for chat completion and conversation interfaces. The `ChatCompletionAgent` type mirrors the features and patterns in the underlying AI Service to support natural language processing, contextual understanding, and dialogue management.