Implement security controls for Azure AI-ready infrastructure
Intermediate
Data Scientist
Database Administrator
Business Owner
Administrator
Developer
Azure
Azure Machine Learning
Azure Machine Learning Studio
Azure Machine Learning designer
Azure Data Science Virtual Machines
This module equips you to configure Azure's foundational security controls for AI workloads. You'll start by configuring Microsoft Entra ID security principals that define who and what can access your AI resources—from data scientists needing interactive workspace access to managed identities enabling secure service-to-service communication.
Learning objectives
By the end of this module, you are able to:
- Configure Microsoft Entra ID security principals for AI workload access control.
- Implement Azure governance scopes across subscriptions, resource groups, and AI resources.
- Apply Azure Policy as the primary governance mechanism for infrastructure compliance.
- Evaluate security controls for production AI infrastructure deployment.
Prerequisites
- Azure fundamentals including resource groups, virtual networks, and identity management.
- Basic AI and machine learning concepts.
- Container fundamentals and Docker basics.
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