module 1/2 refresh

Author: ivorb

learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/3-agent-development.md

@@ -1,8 +1,5 @@
 There are many ways that developers can create AI agents, including multiple frameworks and SDKs.
 
-> [!NOTE]
-> Many of the services discussed in this module are in preview. Details are subject to change.
-
 ## Azure AI Foundry Agent Service
 
 Azure AI Foundry Agent Service is a managed service in Azure that is designed to provide a framework for creating, managing, and using AI agents within Azure AI Foundry. The service is based on the OpenAI Assistants API but with increased choice of models, data integration, and enterprise security; enabling you to use both the OpenAI SDK and the Azure Foundry SDK to develop agentic solutions.

learn-pr/wwl-data-ai/ai-agent-fundamentals/media/agents-playground.png

@@ -17,9 +17,9 @@ quiz:
       - content: "Deploy a compatible model"  
         isCorrect: false  
         explanation: "Incorrect. Deploying a compatible model is the second step. The first step is to create an Azure AI Foundry hub and project."  
-      - content: "Create an Azure AI Foundry hub and project"  
+      - content: "Create an Azure AI Foundry project"  
         isCorrect: true  
-        explanation: "Correct. The first step in setting up Azure AI Foundry Agent Service is to create an Azure AI Foundry hub and project in your Azure subscription."  
+        explanation: "Correct. The first step in setting up Azure AI Foundry Agent Service is to create an Azure AI Foundry project in your Azure subscription."  
       - content: "Make API calls using SDKs"  
         isCorrect: false  
         explanation: "Incorrect. Making API calls using SDKs is the third step after deploying a compatible model."  

learn-pr/wwl-data-ai/develop-ai-agent-azure/6-knowledge-check.yml

@@ -13,7 +13,7 @@ Foundry Agent Service provides several SDKs and a REST API for you to integrate
 
 The diagram shows the following high-level steps that you must implement in your code:
 
-1. Connect to the *AI Foundry project* for your agent, using the project connection string and Entra ID authentication.
+1. Connect to the *AI Foundry project* for your agent, using the project endpoint and Entra ID authentication.
 2. Get a reference to an existing agent that you created in the Azure AI Foundry portal, or create a new one specifying:
     - The *model deployment* in the project that the agent should use to interpret and respond to prompts.
     - *Instructions* that determine the functionality and behavior of the agent.
@@ -56,10 +56,8 @@ Knowledge tools enhance the context or knowledge of your agent. Available tools
 Action tools perform an action or run a function. Available tools include:
 
 - **Code Interpreter**: A sandbox for model-generated Python code that can access and process uploaded files.
-- **Function**: Call your custom function code – you must provide function definitions and implementations.
+- **Custom function**: Call your custom function code – you must provide function definitions and implementations.
 - **Azure Function**: Call code in serverless Azure Functions.
 - **OpenAPI Spec**: Call external APIs based on the OpenAPI 3.0 spec.
 
 By connecting built-in and custom tools, you can allow your agent to perform countless tasks on your behalf.
-
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