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Microsoft AI-901 Study Guide

Microsoft Azure AI Fundamentals AI-901

Microsoft Azure AI Fundamentals (AI-901) introduces building AI solutions with Microsoft Foundry. It covers AI concepts and responsible AI, then implementing generative AI apps, agents, text and speech, vision and information extraction solutions in Python. It suits people at the start of a career in AI solution development.

  • Exam code AI-901
  • Fundamentals level
  • 2 exam domains

This guide is free, with no sign-up. It explains every Microsoft AI-901 exam topic in plain English, one chapter at a time. Read them in order or jump straight to the topic you need.

  • 7chapters
  • 17topics
  • 6diagrams and exhibits
  • 1 h 25 minfast track
Start with Principles of Responsible AI
  • Every topic follows the same simple pattern: what it is, how it works, common mistakes
  • Diagrams and real command output where a picture explains it best
  • Exam tips and worked subnetting and IPv6 practice, with answers

How the exam is weighted

Each domain is worth roughly this share of the exam. The exam provider publishes a range for each domain, so the bar marks the middle of it. Spend your study time in proportion, and select a domain to open its chapter.

Chapters

Open a chapter to see its topics and how long each takes.

1Principles of Responsible AI2 topics · 10 min fast trackMicrosoft's six principles, from fairness and safety to privacy, inclusiveness, transparency and accountability.
  1. 1Fairness, Reliability and Safety5 min
  2. 2Privacy, Security, Inclusiveness, Transparency and Accountability5 min
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2Model Components and Configurations2 topics · 11 min fast trackHow generative models work, choosing a model, deployment options and parameters such as temperature.
  1. 1How Generative AI Models Work6 min
  2. 2Choosing and Deploying a Model5 min
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3Identify AI Workloads3 topics · 14 min fast trackGenerative and agentic AI, text analysis, speech, computer vision, image generation and information extraction.
  1. 1AI Workloads and Text Analysis5 min
  2. 2Speech and Computer Vision Capabilities5 min
  3. 3Extracting Information from Content4 min
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4Generative AI Apps and Agents in Foundry4 topics · 20 min fast trackWriting prompts, deploying a model, a chat client with the Foundry SDK, and creating and calling agents.
  1. 1System and User Prompts5 min
  2. 2Deploying a Model in the Foundry Portal5 min
  3. 3A Chat Client with the Foundry SDK5 min
  4. 4Agents in the Foundry Portal and SDK5 min
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5Text and Speech Solutions in Foundry2 topics · 10 min fast trackAzure Language text analysis in Python, spoken prompts to a multimodal model, and the Azure Speech SDK.
  1. 1Text Analysis Applications5 min
  2. 2Spoken Prompts and Azure Speech Applications5 min
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6Computer Vision and Image Generation in Foundry2 topics · 10 min fast trackSending images to a multimodal model, building vision apps, and generating and editing images with image models.
  1. 1Visual Input and Vision Applications5 min
  2. 2Generating Images5 min
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7Information Extraction in Foundry2 topics · 10 min fast trackContent Understanding analyzers for documents, images, audio and video, and an extraction app.
  1. 1Content Understanding for Documents and Images5 min
  2. 2Audio, Video and Extraction Applications5 min
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The full Microsoft AI-901 question bank has 511 questions, with timed practice exams and an explanation for every answer.

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