Microsoft · 2026 Edition
A complete preparation guide, edited by Johnson Ajibi, a network and security engineer with 12+ years' experience. Covers the exam format,all 5 blueprint domains, a week-by-week study plan, and proven tips for passing first time.
2–4 months
Prep time
Intermediate
Difficulty
Multiple choice
Format
700 (scaled 1–1,000)
Pass mark
Exam code
AI-300
Full name
Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
Vendor
Microsoft
Duration
100 minutes
Exam format
Multiple choice
Passing score
700 (scaled 1–1,000)
Domains covered
5 blueprint domains
Recommended experience
Foundational IT knowledge recommended
Typical prep time
2–4 months
Domain percentage weights are not currently available for this exam. The checklist below is still useful for planning your study.
Phase 1
Genaiops Infrastructure
Tip: Start with the official Genaiops Infrastructure objectives, then practise questions on it.
Phase 2
Mlops Infrastructure
Tip: Cover the Mlops Infrastructure objectives, then answer practice questions to confirm you can apply them.
Phase 3
Generative AI Optimization
Tip: Cover the Generative AI Optimization objectives, then answer practice questions to confirm you can apply them.
Phase 4
Generative AI Quality Assurance And Observability
Tip: Cover the Generative AI Quality Assurance And Observability objectives, then answer practice questions to confirm you can apply them.
Phase 5
ML Model Lifecycle And Operations
Tip: Finish with ML Model Lifecycle And Operations, then re-test your weakest earlier domain before a mock exam.
Study the official exam blueprint — weight percentages tell you exactly where to invest prep time.
Practise scenario-based questions regularly — every modern cert exam is scenario-heavy.
Use spaced repetition to retain what you've learned (Courseiva does this automatically).
Book your exam date once you're scoring 80%+ consistently on practice tests.
Review explanations for every wrong answer, not just the question — the 'why' is what makes it stick.
Apply everything in this guide with adaptive practice questions, detailed answer explanations, and domain analytics.