Govern AI ready workloads with Microsoft Foundry
Intermediate
Administrator
Foundry Tools
Azure
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.
Learning objectives
After completing this module, you'll be able to:
- Configure policy-driven governance controls for AI infrastructure using Microsoft Foundry.
- Implement identity and access management strategies for AI workloads.
- Establish monitoring and compliance workflows for responsible AI operations.
- Evaluate governance patterns that align with enterprise security requirements.
Prerequisites
- Familiarity with Azure fundamentals, including subscriptions, resource groups, and role‑based access control (RBAC).
- Basic understanding of Azure AI services and Microsoft Foundry model deployment concepts.
- Awareness of governance, security, and compliance principles such as policies, data residency, and cost management.
- Experience navigating the Azure portal to create, configure, and monitor cloud resources.
Get started with Azure
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