Secure AI-ready infrastructure

  • Learning Path
  • 4 Modules

At a glance

This course teaches how to build production‑ready AI infrastructure using Microsoft Foundry Hubs and Projects, applying enterprise security controls, network isolation, managed identities, and container governance to enable compliant, scalable AI development across organizations.

Prerequisites

  • Azure fundamentals including resource groups, virtual networks, and identity management.
  • Basic AI and machine learning concepts.
  • Container fundamentals and Docker basics.

Get started with Azure

Choose the Azure account that's right for you. Pay as you go or try Azure free for up to 30 days. Sign up.

Modules in this learning path

Implement secure AI-ready infrastructure with Azure services

This course explains how to design secure AI platforms using Microsoft Foundry, applying centralized governance, managed identities, private networking, Azure OpenAI security controls, and container image protection to ensure compliant, production‑ready AI workloads across enterprise environments.

Secure Azure OpenAI with content safety controls

This course explains how to design secure AI platforms using Microsoft Foundry, applying centralized governance, managed identities, private networking, Azure OpenAI security controls, and container image protection to ensure compliant, production‑ready AI workloads across enterprise environments.

Implement identity-based security for Azure Machine Learning workspaces

This course teaches how to govern AI platforms using Microsoft Entra and Azure Machine Learning, covering security groups, Conditional Access, managed identities, enterprise application integration, and audit logging to continuously monitor, enforce, and improve identity‑centric security for AI workloads.

Implement security controls for Azure AI-ready infrastructure

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.

Start