How to Pass AI-901: A 2-Week, Day-by-Day Study Plan
Two weeks is a realistic timeline to pass Azure AI Fundamentals (AI-901) — if you study the right things in the right order. This plan assumes about an hour a day, some familiarity with AI tools at work, and enough Python to read short code samples; if you’re starting from absolute zero, stretch each phase and take three weeks instead. The exam itself: 45 minutes, 700/1000 to pass, $99, and Microsoft expects knowledge of Python coding syntax plus familiarity with Azure resources. (Still weighing Azure against the AWS one? Compare the two beginner certs.)
One thing before you start: make sure everything you study was written for AI-901, not the retired AI-900 — AI-901 was rebuilt around two domains: Identify AI concepts and capabilities (40–45%) and Implement AI solutions by using Microsoft Foundry (55–60%), with skills measured as of April 15, 2026. (What changed, exactly.)
AI-901 at a glance
| Certification | Microsoft Certified: Azure AI Fundamentals |
|---|---|
| Exam | AI-901 |
| Cost | $99 (US price on Microsoft Learn; varies by country or region; excludes tax) |
| Exam length | 45 minutes |
| Questions | not published (Microsoft says most exams have 40 to 60) |
| Passing score | 700 of 1,000 (scaled) |
| Delivery | Pearson VUE, online proctored or at a test center; students and educators can also schedule through Certiport |
| Prerequisites | None formal; basic Python syntax and familiarity with Azure resources expected |
| Valid for | does not expire |
| Renewal | None needed (Fundamentals certifications do not expire) |
| Retakes | Retake after 24 hours, then 14 days between attempts; max 5 attempts in 12 months; each attempt is paid |
| Replaces | AI-900 |
Checked against Microsoft Learn exam page, Microsoft Learn certification page, Microsoft study guide AI-901 on October 11, 2026. Prices are US list prices and can change; confirm before you book.
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Week 1 — AI concepts and your first Foundry build
- Day 1 — Baseline. Skim the official skills outline, then take a free practice set cold. Don’t study first — the point is to find out where you actually stand and which areas feel foreign.
- Day 2 — Responsible AI. Memorize Microsoft’s six responsible-AI principles cold — fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability — and practice matching each one to a one-line scenario.
- Day 3 — Models and deployment options. How generative AI models work, how to pick an appropriate model based on its capabilities, and the deployment options and configuration parameters (such as temperature and max tokens) you choose when you deploy one.
- Day 4 — AI workloads. Recognize scenarios for generative and agentic AI, text analysis (keyword extraction, entity detection, sentiment analysis, summarization), speech recognition and synthesis, computer vision and image generation, and information extraction from text, images, audio, and video.
- Day 5 — Prompts in Microsoft Foundry. This is where the 55–60% implementation domain starts. Set up an Azure subscription and a Foundry project, then practice writing effective system and user prompts for a generative AI model.
- Day 6 — Deploy a model and build a chat client. Deploy a model and interact with it in the Foundry portal, then build a lightweight chat client with the Foundry SDK. Read every line of the Python until you can explain what each call does.
- Day 7 — Checkpoint. Another practice set. Compare against Day 1 — your weak areas this time are Week 2’s priorities.
Week 2 — building with Foundry and exam readiness
- Day 8 — Agents. Create and test a single-agent solution in the Foundry portal, then build a lightweight client application for the agent. Be able to explain what an agent adds over a plain model call.
- Day 9 — Text and speech. Build a lightweight application that includes text analysis, respond to spoken prompts with a deployed multimodal model, and build an application with Azure Speech in Foundry Tools.
- Day 10 — Vision and image generation. Interpret visual input in prompts with a deployed multimodal model, create new visual outputs with a generative model, and build a lightweight application that includes vision capabilities.
- Day 11 — Information extraction. Use Azure Content Understanding in Foundry Tools to extract information from documents and forms, images, and audio and video, then build a lightweight application around it.
- Day 12 — Timed full practice. Simulate the real thing: 45 minutes on the clock, flag and return, and never leave a question blank.
- Day 13 — Weak-area cleanup. Drill only the areas you missed on Day 12. If a Foundry task still feels abstract, repeat it in the portal or with the SDK instead of rereading notes.
- Day 14 — Light review and book it. Skim the cheat sheet and glossary, sleep well, and book through Pearson VUE. If your practice scores are consistently 80%+, you’re ready.
The three highest-yield things on the whole exam
- Implementing AI solutions in Microsoft Foundry — prompts, model deployment, the Foundry SDK, and agents. This domain is 55–60% of the exam.
- Matching a scenario to the right tool: a deployed generative model, an agent, a multimodal model, Azure Speech in Foundry Tools, or Azure Content Understanding.
- The six responsible-AI principles, matched to one-line scenarios.
Start Day 1 right now — free
The baseline practice set takes ten minutes, no sign-up, and tells you exactly which weeks of this plan need the most attention.
Keep reading: Is Azure AI Fundamentals worth it? An honest review · AI-900 vs AI-901: what changed · Microsoft’s new AI certification path, explained · The free AI-901 study guide
HOW TO // AI is not affiliated with or endorsed by Microsoft. Azure AI Fundamentals, AI-900, and AI-901 are certifications and trademarks of Microsoft Corporation; we reference them descriptively.
Related guides
- Azure AI Fundamentals (AI-901) Study Guide & Cheat Sheet
- Azure AI Fundamentals Practice Questions
- Is Azure AI Fundamentals (AI-901) Worth It in 2026? An Honest Look
- Azure AI Fundamentals Exam Cost (AI-901): Price, Passing Score, Retake
- AI-900 vs AI-901: What Changed in Azure AI Fundamentals (2026)
Frequently asked questions
How long does it take to study for AI-901?
About two weeks at an hour a day if you already use AI tools at work and can read basic Python; three weeks from absolute zero. The exam is foundational — 45 minutes with 700/1000 to pass — but Microsoft expects knowledge of Python coding syntax and familiarity with Azure resources.
Can I pass AI-901 in 2 weeks?
Yes — it is a realistic timeline for motivated candidates. Spend week 1 on AI concepts (responsible AI, models and deployment options, AI workloads) and your first Microsoft Foundry deployment, week 2 on building with Foundry (agents, text and speech, vision, and Content Understanding), and book the exam once your timed practice scores are consistently 80% or higher.
Is the AI-901 exam hard?
It is a beginner-level Fundamentals exam with no formal prerequisites, but it is not code-free: Microsoft expects basic Python and familiarity with Azure resources. The two things that trip people up are outdated AI-900 study material and underestimating the Microsoft Foundry implementation domain, which is 55–60% of the exam.
What should I study most for AI-901?
Implementing AI solutions by using Microsoft Foundry (55–60%): writing prompts, deploying a model, building a chat client with the Foundry SDK, creating a single agent, and using Azure Speech and Azure Content Understanding in Foundry Tools. Then Identify AI concepts and capabilities (40–45%): responsible AI principles, how generative AI models work, and common AI workloads.
