Microsoft · IT Certification
Use this 3-week roadmap to focus on the exam domains that matter most, choose a strong core course, and turn your prep into a weekly plan.
Use the free PrepPath plannerMicrosoft Azure AI Fundamentals (AI-900) rewards consistent, blueprint-led practice. Start by learning the highest-weighted domains, then use practice results to rebalance your time before exam day.
How long to study
A 3-week Microsoft Azure AI Fundamentals (AI-900) study plan gives most learners enough room for first-pass learning, targeted review, and at least one full practice pass. If you are already strong in the fundamentals, compress the early lessons and reserve the final weeks for weak domains and timed practice.
Blueprint breakdown
| Domain | Weight |
|---|---|
| Describe AI workloads and considerations |
19%
|
| Describe fundamental principles of ML on Azure |
19%
|
| Describe features of computer vision workloads on Azure |
19%
|
| Describe features of NLP workloads on Azure |
19%
|
| Describe features of generative AI workloads on Azure |
24%
|
What's on the exam
Covers common AI workload types, responsible-AI principles, and considerations for choosing AI solutions on Azure.
Covers core machine-learning concepts and the capabilities of Azure Machine Learning, including no-code and automated ML.
Covers image classification, object detection, OCR, and facial analysis using Azure AI Vision services.
Covers key-phrase extraction, sentiment analysis, entity recognition, translation, and conversational AI on Azure.
Covers generative-AI concepts, Azure OpenAI, copilots, prompt engineering, and the responsible use of generative models.
Suggested timeline
This is a blueprint-led default — front-load the heaviest domains, then convert weak spots from your mock results into targeted review. The free planner turns it into exact dates.
| When | Focus |
|---|---|
| Week 1 Foundations |
Describe features of generative AI workloads on Azure, Describe AI workloads and considerations, Describe fundamental principles of ML on Azure First-pass learning on the heaviest-weighted domains: read the guide, watch the core course, and start active-recall questions. |
| Week 2 Breadth |
Describe features of computer vision workloads on Azure, Describe features of NLP workloads on Azure Cover the remaining domains and sit your first full, timed mock to expose weak areas. |
| Week 3 Review & mocks |
Weakest domains + full mocks Re-test with timed mocks, drill the domains your scores flag, then a light rest-and-logistics day before the exam. |
Recommended prep kit
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GearFree PrepPath planner
Enter your exam date and weak domains, then PrepPath generates the day-by-day schedule.
FAQ
A typical Microsoft Azure AI Fundamentals (AI-900) study plan takes about 3 weeks. Shorten that if you already score well on practice tests, or extend it if the official objectives are new to you.
The best course for Microsoft Azure AI Fundamentals (AI-900) is one that maps lessons to the current exam domains and includes practice questions. This page recommends Microsoft Azure AI Fundamentals: Get started with AI (AI-900) as the core course to review first.
Start with Describe features of generative AI workloads on Azure, because it carries about 24% of the exam blueprint, then move through lower-weight domains while tracking weak areas.
PrepPath turns your exam date, daily study hours, and confidence by domain into a calendar you can follow, then adjusts your focus after practice scores.
Most candidates do well with about 1–2 focused hours on study days across a 3-week plan, ramping up in the final weeks for timed practice. Consistency beats marathon sessions — PrepPath spaces each domain out so you revisit it instead of cramming.
Aim for at least 2–3 full, timed mock exams: one early to set a baseline, then more in the final third of your plan. Review every wrong answer and tag the domain it came from so PrepPath can rebalance your remaining days toward your real weak spots.