Official outline

Skills measured as of April 15, 2026

Copied from the Microsoft Learn study guide for Exam AI-901: Microsoft Azure AI Fundamentals. Passing score 700. Python syntax, Azure resources, REST APIs, SDKs, and CLIs are in the audience profile. This show is unofficial.

Identify AI concepts and capabilities

40–45%

Describe principles of responsible AI

  • Fairness
  • Reliability and safety
  • Privacy and security
  • Inclusiveness
  • Transparency
  • Accountability

Pass 901 episode 2

Identify AI model components and configurations

  • How generative AI models work
  • Choose a model by capability
  • Deployment options and configuration parameters

Pass 901 episode 3

Identify AI workloads

  • Generative and agentic AI
  • Text analysis, speech, computer vision
  • Information extraction from text, images, audio, video

Pass 901 episode 4–6

Implement AI solutions by using Microsoft Foundry

55–60%

Generative AI apps and agents

  • System and user prompts
  • Deploy a model in the Foundry portal
  • Lightweight chat client with the Foundry SDK
  • Single-agent solution in the portal
  • Lightweight client for an agent

Pass 901 episode 7–8

Text, speech, vision, and image generation

  • Text analysis application
  • Spoken prompts with a multimodal model
  • Azure Speech in Foundry Tools
  • Visual input and generated images

Pass 901 episode 9

Information extraction with Content Understanding

  • Documents and forms
  • Images, audio, and video
  • Lightweight extraction application

Pass 901 episode 10

Listen in this order

  1. 01Welcome to AI-901
  2. 02The six responsible AI principles
  3. 03How generative models work
  4. 04The workload sorting hat
  5. 05Text analysis and speech
  6. 06Vision, images, and extraction
  7. 07Foundry: prompts, portal, SDK
  8. 08Agents in Microsoft Foundry
  9. 09Text, speech, and vision apps
  10. 10Content Understanding and exam day