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Merge pull request #49852 from GraemeMalcolm/main
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/1-introduction.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Get ready to explore AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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durationInMinutes: 1
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Get ready to explore AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/2-what-are-agents.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.what-are-ai-agents
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title: What are AI agents?
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metadata:
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title: What are AI agents?
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description: AI agents have the potential to radically change how we accomplish tasks - but what are they?
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/2-what-are-agents.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.what-are-ai-agents
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title: What are AI agents?
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metadata:
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title: What are AI agents?
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description: AI agents have the potential to radically change how we accomplish tasks - but what are they?
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/2-what-are-agents.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/3-agent-development.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.agent-development
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title: Options for agent development
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metadata:
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title: Options for agent development
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description: So you want to build an agent? Let's explore your options?
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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durationInMinutes: 6
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content: |
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[!include[](includes/3-agent-development.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.agent-development
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title: Options for agent development
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metadata:
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title: Options for agent development
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description: So you want to build an agent? Let's explore your options?
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 6
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content: |
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[!include[](includes/3-agent-development.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/4-azure-ai-agent-service.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.azure-ai-agent-service
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title: Azure AI Agent Service
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metadata:
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title: Azure AI Agent Service
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description: A high-level overview of Azure AI Agent Service.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/4-azure-ai-agent-service.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.azure-ai-agent-service
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title: Azure AI Agent Service
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metadata:
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title: Azure AI Agent Service
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description: A high-level overview of Azure AI Agent Service.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/4-azure-ai-agent-service.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/5-exercise.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.exercise
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title: Exercise - Explore AI Agent development
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metadata:
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title: Exercise - Explore AI Agent development
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description: Create an agent by using Azure AI Agent Service in the Azure AI Foundry portal.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 30
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content: |
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[!include[](includes/5-exercise.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.exercise
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title: Exercise - Explore AI Agent development
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metadata:
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title: Exercise - Explore AI Agent development
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description: Create an agent by using Azure AI Agent Service in the Azure AI Foundry portal.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 30
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content: |
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[!include[](includes/5-exercise.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/6-knowledge-check.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Test your knowledge of AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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quiz:
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questions:
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- content: "Which of the following best describes an AI agent?"
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choices:
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- content: "A developer who specializes in building generative AI solutions."
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isCorrect: false
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explanation: "Incorrect. An AI agent isn't a developer who specializes in building generative AI solutions."
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- content: "A software service that uses AI to assist users with information and task automation."
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isCorrect: true
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explanation: "Correct. An AI agent is a software service that uses AI to assist users with information and task automation."
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- content: "A marketplace for off-the-shelf AI software components."
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isCorrect: false
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explanation: "Incorrect. An AI agent isn't a marketplace for off-the-shelf AI software components."
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- content: "Which AI agent development service offers a choice of generative AI models from multiple vendors in the Azure AI Foundry model catalog?"
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choices:
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- content: "Azure AI Agent Service"
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isCorrect: true
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explanation: "Correct. Azure AI Agent Service supports many models from the Azure AI Foundry model catalog."
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- content: "OpenAI Assistants API"
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isCorrect: false
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explanation: "Incorrect. OpenAI Assistants API is restricted to OpenAI models."
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- content: "Microsoft 365 Copilot Chat"
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isCorrect: false
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explanation: "Incorrect. Microsoft 365 Copilot Chat doesn't offer a selection of models for agent development."
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- content: "Whet element of an Azure AI Agent Service agent enables it to *ground* prompts with contextual data?"
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choices:
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- content: "Model"
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isCorrect: false
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explanation: "Incorrect. The model doesn't provide its own grounding data."
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- content: "Code interpreter tool"
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isCorrect: false
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explanation: "Incorrect. The code interpreter tool doesn't ground prompts."
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- content: "Knowledge"
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isCorrect: true
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explanation: "Correct. Adding a knowledge source enables an agent to ground prompts with contextual data."
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Test your knowledge of AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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quiz:
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questions:
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- content: "Which of the following best describes an AI agent?"
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choices:
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- content: "A developer who specializes in building generative AI solutions."
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isCorrect: false
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explanation: "Incorrect. An AI agent isn't a developer who specializes in building generative AI solutions."
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- content: "A software service that uses AI to assist users with information and task automation."
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isCorrect: true
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explanation: "Correct. An AI agent is a software service that uses AI to assist users with information and task automation."
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- content: "A marketplace for off-the-shelf AI software components."
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isCorrect: false
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explanation: "Incorrect. An AI agent isn't a marketplace for off-the-shelf AI software components."
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- content: "Which AI agent development service offers a choice of generative AI models from multiple vendors in the Azure AI Foundry model catalog?"
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choices:
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- content: "Azure AI Agent Service"
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isCorrect: true
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explanation: "Correct. Azure AI Agent Service supports many models from the Azure AI Foundry model catalog."
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- content: "OpenAI Assistants API"
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isCorrect: false
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explanation: "Incorrect. OpenAI Assistants API is restricted to OpenAI models."
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- content: "Microsoft 365 Copilot Chat"
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isCorrect: false
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explanation: "Incorrect. Microsoft 365 Copilot Chat doesn't offer a selection of models for agent development."
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- content: "Whet element of an Azure AI Agent Service agent enables it to *ground* prompts with contextual data?"
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choices:
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- content: "Model"
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isCorrect: false
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explanation: "Incorrect. The model doesn't provide its own grounding data."
44+
- content: "Code interpreter tool"
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isCorrect: false
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explanation: "Incorrect. The code interpreter tool doesn't ground prompts."
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- content: "Knowledge"
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isCorrect: true
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explanation: "Correct. Adding a knowledge source enables an agent to ground prompts with contextual data."
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/7-summary.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.summary
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title: Summary
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metadata:
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title: Summary
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description: Summary of key learning points and further reading for AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 02/12/2025
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ms.topic: unit
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ms.collection:
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-agent-fundamentals.summary
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title: Summary
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metadata:
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title: Summary
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description: Summary of key learning points and further reading for AI agents.
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author: wwlpublish
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ms.author: berryivor
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ms.date: 04/03/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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‎learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/4-azure-ai-agent-service.md

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- **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.
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- **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.
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- **Tools**: Programmatic functions that enable the agent to automate *actions*. Built-in tools to access knowledge in Azure AI Search and Bing are provided as well as a code interpreter tool that you can use to generate and run Python code. You can also create custom tools using your own code or Azure Functions.
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Conversations between users and agents take place on a *thread*, which retains a history of the messages exchanged in the conversation as well as any data assets, such as files, that are generated.

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