Microsoft Azure AI Fundamentals Study Guide

If you are preparing for Microsoft Azure AI Fundamentals (AI-901), you are in the right place. This is the written companion to the practice exams, a complete walk through everything the test covers, in one place.

AI-901 is a fundamentals exam that still expects you to build. Alongside naming AI workloads and responsible AI principles, it asks which Microsoft Foundry client you would write in Python for the job in front of you. The habit that pays off in both domains is reading a scenario for what the solution has to hand back rather than what it is handed: a photograph you want described in words calls for a deployed multimodal model, while the same photograph filling fixed fields on every incoming file calls for a Content Understanding analyzer. The same instinct settles whether written text goes to Azure Language, recorded audio to Azure Speech, or a spoken conversation to a realtime model.

The guide follows the official domains at the weight the real exam gives them, so the four Foundry implementation chapters (55 to 60%) get the most room, with three on AI concepts and capabilities (40 to 45%). Each chapter builds the mental model in plain language, separates the look-alike options with comparison tables and decision trees, and closes by showing how AI-901 phrases the questions that turn on them.

Start at the top, or pick the domain you want from the list beside this page.