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Merge pull request #53972 from MicrosoftDocs/NEW-introduction-microsoft-foundry-windows
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‎learn-pr/achievements/introduction-microsoft-foundry-windows-social.png‎

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‎learn-pr/achievements/introduction-microsoft-foundry-windows.svg‎

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‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/1-introduction.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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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)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/2-shift-toward-local-hybrid-ai.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.shift-toward-local-hybrid-ai
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title: The shift towards local hybrid AI
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metadata:
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title: The Shift Towards Local Hybrid AI
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 8
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content: |
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[!include[](includes/2-shift-toward-local-hybrid-ai.md)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/3-what-is-microsoft-foundry-windows.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.what-is-microsoft-foundry-windows
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title: What is Microsoft Foundry on Windows
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metadata:
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title: What Is Microsoft Foundry On Windows
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/3-what-is-microsoft-foundry-windows.md)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/4-how-microsoft-foundry-windows-works.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.how-microsoft-foundry-windows-works
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title: How Microsoft Foundry on Windows works
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metadata:
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title: How Microsoft Foundry On Windows Works
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 7
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content: |
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[!include[](includes/4-how-microsoft-foundry-windows-works.md)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/5-when-use-microsoft-foundry-windows.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.when-use-microsoft-foundry-windows
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title: When to use Microsoft Foundry on Windows
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metadata:
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title: When To Use Microsoft Foundry On Windows
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 6
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content: |
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[!include[](includes/5-when-use-microsoft-foundry-windows.md)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/6-knowledge-check.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.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 content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 4
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quiz:
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title: Check your knowledge
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questions:
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- content: "What is the primary purpose of Microsoft Foundry on Windows?"
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choices:
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- content: "To train large-scale AI models exclusively in the cloud"
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isCorrect: false
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explanation: "Incorrect. The content states that large-scale model training typically remains a cloud-based workload and is not the primary focus of Microsoft Foundry on Windows."
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- content: "To provide a unified platform for building AI-powered applications that run locally on Windows and support hybrid scenarios"
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isCorrect: true
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explanation: "Correct. The module defines Microsoft Foundry on Windows as a unified AI development platform for local and hybrid AI applications."
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- content: "To replace Windows operating system AI features"
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isCorrect: false
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explanation: "Incorrect. Microsoft Foundry on Windows builds on and integrates existing Windows AI capabilities rather than replacing them."
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- content: "To manage hardware drivers for CPUs, GPUs, and NPUs"
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isCorrect: false
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explanation: "Incorrect. While the platform abstracts hardware usage, its purpose is AI development, not hardware driver management."
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- content: "Which scenario best illustrates a key advantage of running AI workloads locally on a Windows device?"
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choices:
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- content: "Training very large models using massive distributed datasets"
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isCorrect: false
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explanation: "Incorrect. The module explains that large-scale model training is typically handled in the cloud."
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- content: "Processing sensitive data without sending it to cloud services"
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isCorrect: true
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explanation: "Correct. Local AI execution allows sensitive data to remain on the device, supporting privacy and regulatory requirements."
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- content: "Scaling AI workloads to unlimited compute capacity"
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isCorrect: false
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explanation: "Incorrect. Unlimited scalability is described as a strength of cloud AI, not local execution."
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- content: "Replacing all cloud-based analytics systems"
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isCorrect: false
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explanation: "Incorrect. The module emphasizes that local AI works alongside cloud AI rather than replacing it."
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- content: "What role does Windows ML play in Microsoft Foundry on Windows?"
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choices:
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- content: "Providing built-in task-based AI features such as OCR and text summarization"
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isCorrect: false
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explanation: "Incorrect. This describes the role of Windows AI APIs, not Windows ML."
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- content: "Enabling local execution of curated open-source models"
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isCorrect: false
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explanation: "Incorrect. This is the primary role of Foundry Local."
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- content: "Serving as a runtime for running custom AI models across diverse Windows hardware"
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isCorrect: true
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explanation: "Correct. Windows ML provides a runtime that abstracts hardware differences and supports CPUs, GPUs, and NPUs."
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- content: "Managing network connectivity for hybrid AI applications"
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isCorrect: false
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explanation: "Incorrect. Network connectivity is not described as a function of Windows ML."
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- content: "Which processors can Windows automatically use to run AI workloads based on device capabilities?"
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choices:
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- content: "Only CPUs"
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isCorrect: false
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explanation: "Incorrect. While CPUs are supported, the module explains that GPUs and NPUs are also used when available."
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- content: "Only GPUs and NPUs"
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isCorrect: false
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explanation: "Incorrect. CPUs are included as part of the supported hardware for AI workloads."
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- content: "CPUs, GPUs, and NPUs"
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isCorrect: true
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explanation: "Correct. Windows automatically selects from CPUs, GPUs, and NPUs based on the device configuration and workload."
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- content: "Dedicated cloud accelerators"
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isCorrect: false
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explanation: "Incorrect. The content focuses on on-device hardware rather than cloud-specific accelerators."

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/7-summary.yml‎

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### YamlMime:ModuleUnit
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uid: learn.dpu.introduction-microsoft-foundry-windows.summary
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title: Summary
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metadata:
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title: Summary
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description: This content is part of the "Introduction to Microsoft Foundry on Windows" module.
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ms.date: 03/24/2026
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author: hhreyes21
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ms.author: v-homerreyes
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ms.topic: unit
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]

‎learn-pr/device-partner-university/introduction-microsoft-foundry-windows/includes/1-introduction.md‎

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This module introduces Microsoft Foundry on Windows, a platform that helps developers build AI-powered applications that run locally on Windows devices and support hybrid scenarios with cloud services. You learn about the platform’s core components—Windows AI APIs, Foundry Local, and Windows Machine Learning (ML)—and how they work together to simplify AI development across diverse hardware environments.
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By the end of this module, you understand when and why to use Microsoft Foundry on Windows and how it supports secure, high-performance AI workloads on Windows devices.
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## Learning objectives
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By the end of this module, you are able to:
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- Identify scenarios where running AI workloads locally or in a hybrid architecture provides advantages for performance, privacy, or resilience.
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- Describe the purpose of Microsoft Foundry on Windows as a platform for local and hybrid AI development.
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- Explain how Windows AI APIs, Foundry Local, and Windows ML work together to support AI applications on Windows devices.

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