Microsoft Azure AI Fundamentals (AI-900)
How to prepare for AI-900
A 6-stage plan from your first study session to exam day. Adjust the pace to your own schedule.
Study plan
| Stage | What to do | Time |
|---|---|---|
| 1 | Understand AI fundamentals Review core AI concepts, workloads and considerations as outlined in the exam description. | Week 1 |
| 2 | Learn Azure machine‑learning basics Study the fundamental principles of machine learning on Azure, including core services and terminology. | Week 2 |
| 3 | Explore computer‑vision services Dive into Azure’s computer‑vision capabilities, understanding key features and typical use cases. | Week 3 |
| 4 | Study NLP and generative AI on Azure Cover natural language processing workloads and the emerging generative AI features available in Azure. | Week 4 |
| 5 | Hands‑on practice and review Use free practice assessments and hands‑on labs to reinforce knowledge and identify gaps. | Week 5 |
| 6 | Final mock exam Take a timed practice test to gauge readiness and focus on any remaining weak areas. | Week 6 |
Exam domains
These come from the official exam outline.
- AI and ML concepts
- Machine learning on Azure
- Computer vision services
- Natural language processing
- Conversational AI & Azure Bot Service
AI-900 preparation questions
How many steps are in the AI-900 study plan?
This plan has 6 stages, starting with understand AI fundamentals and ending with final mock exam.
Do I need prior experience for AI-900?
AI-900 is rated Beginner. Check the official exam page for any formal requirements before you start.
What should I study for AI-900?
Focus on the official exam domains: AI and ML concepts, Machine learning on Azure, Computer vision services, Natural language processing, Conversational AI & Azure Bot Service.
Exam outlines change between versions. Check the official exam page for the current outline before you start.