AI-901 preparation should start with the language of modern AI, not with a list of product screens. You need to recognize common AI workloads, understand where generative AI fits, and know how Microsoft Foundry is used to build, evaluate, and manage AI solutions.
Use the official skills outline as two study blocks: AI concepts and capabilities, then implementation with Microsoft Foundry. In the first block, make sure you can explain machine learning, computer vision, natural language processing, generative AI, agents, responsible AI, and evaluation in plain words. In the second block, connect those ideas to model selection, prompts, orchestration, safety, monitoring, and deployment choices.
How to study AI-901
Start with the AI-901 exam objectives and mark every term that is unfamiliar. Then study by use case: classify text, extract information, summarize content, answer with grounding data, analyze images, or build an agent that can call tools.
After each topic, use the AI-901 Practice Test. Review mistakes by asking whether the problem was AI vocabulary, Foundry workflow, responsible AI, or solution design. Before longer sessions, read the AI-901 exam format and passing score notes so the simulator feels more controlled.
Verified against the official vendor reference: learn.microsoft.com.