Merge pull request #50510 from ivorb/build-25-rebrand

Build 25 rebrand

Author: v-dirichards

learn-pr/wwl-data-ai/ai-agent-fundamentals/1-introduction.yml

@@ -4,9 +4,9 @@ title: Introduction
 metadata:
   title: Introduction
   description: Get ready to explore AI agents.
-  author: wwlpublish
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

learn-pr/wwl-data-ai/ai-agent-fundamentals/2-what-are-agents.yml

@@ -4,9 +4,9 @@ title: What are AI agents?
 metadata:
   title: What are AI agents?
   description: AI agents have the potential to radically change how we accomplish tasks - but what are they?
-  author: wwlpublish
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

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

@@ -4,9 +4,9 @@ title: Options for agent development
 metadata:
   title: Options for agent development
   description: So you want to build an agent? Let's explore your options?
-  author: wwlpublish
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

learn-pr/wwl-data-ai/ai-agent-fundamentals/4-azure-ai-agent-service.yml

@@ -1,12 +1,12 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.ai-agent-fundamentals.azure-ai-agent-service
-title: Azure AI Agent Service
+title: Azure AI Foundry Agent Service
 metadata:
-  title: Azure AI Agent Service
-  description: A high-level overview of Azure AI Agent Service.
-  author: wwlpublish
+  title: Azure AI Foundry Agent Service
+  description: A high-level overview of Azure AI Foundry Agent Service.
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

learn-pr/wwl-data-ai/ai-agent-fundamentals/5-exercise.yml

@@ -3,10 +3,10 @@ uid: learn.wwl.ai-agent-fundamentals.exercise
 title: Exercise - Explore AI Agent development
 metadata:
   title: Exercise - Explore AI Agent development
-  description: Create an agent by using Azure AI Agent Service in the Azure AI Foundry portal.
-  author: wwlpublish
+  description: Create an agent by using Azure AI Foundry Agent Service in the Azure AI Foundry portal.
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

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

@@ -4,9 +4,9 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: Test your knowledge of AI agents.
-  author: wwlpublish
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot
@@ -27,16 +27,16 @@ quiz:
       explanation: "Incorrect. An AI agent isn't a marketplace for off-the-shelf AI software components."
   - content: "Which AI agent development service offers a choice of generative AI models from multiple vendors in the Azure AI Foundry model catalog?"
     choices:
-    - content: "Azure AI Agent Service"
+    - content: "Azure AI Foundry Agent Service"
       isCorrect: true
-      explanation: "Correct. Azure AI Agent Service supports many models from the Azure AI Foundry model catalog."
+      explanation: "Correct. Azure AI Foundry Agent Service supports many models from the Azure AI Foundry model catalog."
     - content: "OpenAI Assistants API"
       isCorrect: false
       explanation: "Incorrect. OpenAI Assistants API is restricted to OpenAI models."
     - content: "Microsoft 365 Copilot Chat"
       isCorrect: false
       explanation: "Incorrect. Microsoft 365 Copilot Chat doesn't offer a selection of models for agent development."
-  - content: "What element of an Azure AI Agent Service agent enables it to *ground* prompts with contextual data?"
+  - content: "What element of an Foundry Agent Service agent enables it to *ground* prompts with contextual data?"
     choices:
     - content: "Model"
       isCorrect: false

learn-pr/wwl-data-ai/ai-agent-fundamentals/7-summary.yml

@@ -4,9 +4,9 @@ title: Summary
 metadata:
   title: Summary
   description: Summary of key learning points and further reading for AI agents.
-  author: wwlpublish
+  author: ivorb
   ms.author: berryivor
-  ms.date: 04/03/2025
+  ms.date: 05/16/2025
   ms.topic: unit
   ms.collection:
     - wwl-ai-copilot

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

@@ -3,16 +3,16 @@ There are many ways that developers can create AI agents, including multiple fra
 > [!NOTE]
 > Many of the services discussed in this module are in preview. Details are subject to change.
 
-## Azure AI Agent Service
+## Azure AI Foundry Agent Service
 
-Azure AI 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.
+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.
 
 > [!TIP]
-> For more information about Azure AI Agent Service, see the **[Azure AI Agent Service documentation](/azure/ai-services/agents/)**.
+> For more information about Foundry Agent Service, see the **[Azure AI Foundry Agent Service documentation](/azure/ai-services/agents/)**.
 
 ## OpenAI Assistants API
 
-The OpenAI Assistants API provides a subset of the features in Azure AI Agent Service, and can only be used with OpenAI models. In Azure, you can use the Assistants API with the Azure OpenAI service, though in practice the Azure AI Agent Service provides greater flexibility and functionality for agent development on Azure.
+The OpenAI Assistants API provides a subset of the features in Foundry Agent Service, and can only be used with OpenAI models. In Azure, you can use the Assistants API with Azure OpenAI, though in practice the Foundry Agent Service provides greater flexibility and functionality for agent development on Azure.
 
 > [!TIP]
 > For more information about using the OpenAI Assistants API in Azure, see **[Getting started with Azure OpenAI Assistants](/azure/ai-services/openai/how-to/assistant)**.
@@ -59,8 +59,8 @@ With such a wide range of available tools and frameworks, it can be challenging
 - For business users with little or no software development experience, Copilot Studio agent builder in Microsoft 365 Copilot Chat provides a way to create simple declarative agents that automate everyday tasks. This approach can empower users across an organization to benefit from AI agents with minimal impact on IT.
 - If business users have sufficient technical skills to build low-code solutions using Microsoft Power Platform technologies, Copilot Studio enables them to combine those skills with their business domain knowledge and build agent solutions that extend the capabilities of Microsoft 365 Copilot or add agentic functionality to common channels like Microsoft Teams, Slack, or Messenger.
 - When an organization needs more complex extensions to Microsoft 365 Copilot capabilities, professional developers can use the Microsoft 365 Agents SDK to build agents that target the same channels as Copilot Studio.
-- To develop agentic solutions that use Azure back-end services with a wide choice of models, custom storage and search services, and integration with Azure AI services, professional developers should use Azure AI Agent Service in Azure AI Foundry.
-- Start with Azure AI Agent Service to develop single, standalone agents. When you need to build multi-agent solutions, use Semantic Kernel to orchestrate the agents in your solution.
+- To develop agentic solutions that use Azure back-end services with a wide choice of models, custom storage and search services, and integration with Azure AI services, professional developers should use Foundry Agent Service.
+- Start with Foundry Agent Service to develop single, standalone agents. When you need to build multi-agent solutions, use Semantic Kernel to orchestrate the agents in your solution.
 
 > [!NOTE]
 > There's overlap between the capabilities of each agent development solution, and in some cases factors like existing familiarity with tools, programming language preferences, and other considerations will influence the decision.

learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/4-azure-ai-agent-service.md

@@ -1,10 +1,10 @@
-Azure AI Agent Service is a service within Azure AI Foundry that you can use to create, test, and manage AI agents. It provides both a visual agent development experience in the Azure AI Foundry portal and a code-first development experience using the Azure AI Foundry SDK.
+Azure AI Foundry Agent Service is a service within Azure that you can use to create, test, and manage AI agents. It provides both a visual agent development experience in the Azure AI Foundry portal and a code-first development experience using the Azure AI Foundry SDK.
 
 ![Screenshot of the Azure AI Agent playground in the Azure AI Foundry portal.](../media/agents-playground.png)
 
 ## Components of an agent
 
-Agents developed using Azure AI Agent Service have the following elements:
+Agents developed using Foundry Agent Service have the following elements:
 
 - **Model**: A deployed generative AI model that enables the agent to reason and generate natural language responses to prompts. You can use common OpenAI models and a selection of models from the Azure AI Foundry model catalog.
 - **Knowledge**: data sources that enable the agent to ground prompts with contextual data. Potential knowledge sources include Internet search results from Microsoft Bing, an Azure AI Search index, or your own data and documents.

learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/7-summary.md

@@ -1,4 +1,4 @@
-In this module, you learned about AI agents and some of the options available for developing them. You also learned how to create a simple agent using the visual tools for Azure AI Agent Service in the Azure AI Foundry portal.
+In this module, you learned about AI agents and some of the options available for developing them. You also learned how to create a simple agent using the visual tools for Foundry Agent Service in the Azure AI Foundry portal.
 
 > [!TIP]
-> For more information about Azure AI Agent Service, see **[Azure AI Agent Service documentation](/azure/ai-services/agents/?azure-portal=true)**.
+> For more information about Foundry Agent Service, see **[Azure AI Foundry Agent Service documentation](/azure/ai-services/agents/?azure-portal=true)**.