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| 1 | +### YamlMime:Module |
| 2 | +uid: learn.wwl.govern-ai-ready-workloads-microsoft-foundry |
| 3 | +metadata: |
| 4 | + title: "Govern AI Ready Workloads with Microsoft Foundry" |
| 5 | + description: "Learn to govern AI workloads using Microsoft Foundry by enforcing policy‑driven controls, securing identity access, monitoring compliance, and managing model lifecycle, quotas, and costs through practical, hands‑on exercises." |
| 6 | + ms.date: 02/02/2026 |
| 7 | + author: wwlpublish |
| 8 | + ms.author: bradj |
| 9 | + ms.topic: module |
| 10 | + ms.service: azure |
| 11 | +title: "Govern AI ready workloads with Microsoft Foundry" |
| 12 | +summary: Learn to govern AI workloads using Microsoft Foundry by enforcing policy‑driven controls, securing identity access, monitoring compliance, and managing model lifecycle, quotas, and costs through practical, hands‑on exercises. |
| 13 | +abstract: | |
| 14 | + After completing this module, you'll be able to: |
| 15 | + - Configure policy-driven governance controls for AI infrastructure using Microsoft Foundry. |
| 16 | + - Implement identity and access management strategies for AI workloads. |
| 17 | + - Establish monitoring and compliance workflows for responsible AI operations. |
| 18 | + - Evaluate governance patterns that align with enterprise security requirements. |
| 19 | +prerequisites: | |
| 20 | + - Familiarity with Azure fundamentals, including subscriptions, resource groups, and role‑based access control (RBAC). |
| 21 | + - Basic understanding of Azure AI services and Microsoft Foundry model deployment concepts. |
| 22 | + - Awareness of governance, security, and compliance principles such as policies, data residency, and cost management. |
| 23 | + - Experience navigating the Azure portal to create, configure, and monitor cloud resources. |
| 24 | +iconUrl: /learn/achievements/generic-badge.svg |
| 25 | +levels: |
| 26 | +- intermediate |
| 27 | +roles: |
| 28 | +- administrator |
| 29 | +products: |
| 30 | +- ai-services |
| 31 | +- azure |
| 32 | +subjects: |
| 33 | +- infrastructure |
| 34 | +units: |
| 35 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.introduction |
| 36 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.configure-policy-driven-governance |
| 37 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.implement-identity-access-management |
| 38 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.establish-monitor-compliance-workflows |
| 39 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.exercise-configure-governance-controls |
| 40 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.knowledge-check |
| 41 | +- learn.wwl.govern-ai-ready-workloads-microsoft-foundry.summary |
| 42 | +badge: |
| 43 | + uid: learn.wwl.govern-ai-ready-workloads-microsoft-foundry.badge |
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