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Merge pull request #52923 from MicrosoftDocs/NEW-get-started-ai-in-foundry
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: "This unit provides an overview of Microsoft Foundry, its capabilities, and its role in building AI solutions. Learn about the key components and services that make up the platform."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.concepts
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title: What is an AI application?
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metadata:
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title: What is an AI application?
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description: "This unit covers the essential concepts that make up an AI application on Microsoft Foundry."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/2-concepts.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.components
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title: Components of an AI application
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metadata:
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title: Components of an AI application
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description: "This unit covers the essential components that make up an AI application on Microsoft Foundry. Understand the role of data, models, and APIs in building intelligent solutions."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/3-components.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.microsoft-foundry
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title: Microsoft Foundry for AI
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metadata:
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title: Microsoft Foundry for AI
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description: "This unit explores how Microsoft Foundry provides a robust platform for building AI applications. Learn about the specific services and tools available on Microsoft Foundry that support AI development."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/4-microsoft-foundry.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.foundry-projects
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title: Get started with Foundry
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metadata:
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title: Get started with Foundry
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description: "This unit covers the various how to get started with Foundry, including how to create a new project."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/5-foundry-projects.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.about-azure
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title: Understand Azure
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metadata:
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title: Understand Azure
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description: "This unit provides an overview of Azure, its capabilities, and its role in building AI solutions. Learn about the key components and services that make up the platform."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/6-about-azure.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.exercise
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title: Exercise - Explore AI in Microsoft Foundry
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metadata:
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title: Exercise - Explore AI in Microsoft Foundry
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description: "This unit provides hands-on experience with Microsoft Foundry. Complete the exercises to reinforce your understanding of the concepts covered in the previous units."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 20
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content: |
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[!include[](includes/7-exercise.md)]
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.knowledge-check
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title: Knowledge check
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metadata:
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title: Knowledge check
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description: "This unit provides a knowledge check to assess your understanding of the concepts covered in the previous units. Test your knowledge of Azure and its capabilities for AI development."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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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 statement best explains the relationship between AI and ML?"
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choices:
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- content: "AI and ML are interchangeable terms; both refer to systems that mimic human intelligence without distinction."
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isCorrect: false
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explanation: "AI and ML aren't interchangeable. AI is the broader concept, while ML is one of the primary techniques used to achieve AI."
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- content: "ML focuses exclusively on generative tasks like creating text and images, whereas AI is limited to decision-making and planning."
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isCorrect: false
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explanation: "ML isn't limited to generative tasks. AI also encompasses more than decision-making—it includes perception, reasoning, and language understanding."
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- content: "AI is the overarching goal of creating systems that exhibit human-like intelligence, while ML is a data-driven method used to achieve AI by learning patterns from data."
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isCorrect: true
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explanation: "AI aims to mimic human intelligence, and ML enables AI by using algorithms that learn from data without explicit programming."
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- content: "What is the primary role of the Integration & Orchestration Layer in the AI application architecture?"
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choices:
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- content: "It provides compute resources for running AI workloads"
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isCorrect: false
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explanation: "The Compute Layer focuses on providing resources for hosting and executing AI workloads."
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- content: "It connects models and data with business logic and user interfaces."
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isCorrect: true
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explanation: "The Integration & Orchestration Layer ensures smooth connectivity between models, data, and application logic."
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- content: "It manages the collection, storage, and organization of data."
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isCorrect: false
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explanation: "The Data Layer handles data collection and storage, not integration or orchestration."
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- content: "Which statement best describes how Azure organizes resources and access?"
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choices:
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- content: "Azure uses tenants for identity management, subscriptions for billing and service access, resource groups for organizing related resources, and resources as individual services like VMs or databases."
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isCorrect: true
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explanation: "The answer accurately reflects Azure’s hierarchy: tenants (identity), subscriptions (billing and access), resource groups (logical containers), and resources (individual services)."
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- content: "Azure organizes resources only by subscriptions, which contain all services without further grouping or identity management."
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isCorrect: false
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explanation: "Subscriptions are part of the hierarchy, but Azure also uses tenants and resource groups for identity and organization."
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- content: "Azure relies on tenants for compute and storage services, while subscriptions handle networking and application services."
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isCorrect: false
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explanation: "Tenants don't provide compute or storage services—they manage identity and access. Compute, storage, networking, and app services are delivered through resources within subscriptions."
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### YamlMime:ModuleUnit
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uid: learn.get-started-ai-in-foundry.summary
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title: Summary
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metadata:
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title: Summary
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description: "This unit summarizes the key concepts covered in the previous units. Review the main points related to Azure and its capabilities for AI development."
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ms.date: 12/8/2025
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author: sherzyang
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ms.author: sheryang
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ms.topic: unit
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durationInMinutes: 1
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content: |
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[!include[](includes/9-summary.md)]
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In this module, you learn how Microsoft enables you to build AI with the latest technology, securely, and at scale. The module builds on the basic ideas behind AI to help you understand what AI applications are and how they work. The module also describes how Microsoft Foundry streamlines AI application development, integrates with Azure, and enables rapid innovation through prebuilt models, agent services, and robust governance tools.

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