Protect and govern AI ready infrastructure with Azure
Intermediate
Administrator
AI Engineer
Azure
Design and deploy governed AI infrastructure by understanding governance frameworks, enforcing policies and access controls, implementing responsible AI safeguards, and completing hands-on exercises to ensure compliant, secure AI workloads.
Learning objectives
In this module, you learn to:
- Evaluate AI governance requirements and align them with Microsoft Foundry capabilities
- Configure Azure Policy and role-based access controls for AI workloads
- Implement content filtering and responsible AI safeguards using Azure AI services
- Establish monitoring and audit trails for AI operations using Azure Monitor and Microsoft Purview
- Apply governance best practices for model lifecycle management and data protection
Prerequisites
- Familiarity with Azure fundamentals, including subscriptions, resource groups, and Azure role-based access control (RBAC)
- Basic understanding of Azure AI services and Microsoft Foundry concepts and deployment models
- Awareness of AI governance, security, and compliance principles such as data residency and policy enforcement
- Experience navigating the Azure portal and reviewing resource configurations, logs, and monitoring data
Get started with Azure
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