Free certification learning · Microsoft · AI-300
AI-300Machine Learning Operations (MLOps / GenAIOps) Engineer
Microsoft Certified: Machine Learning Operations Engineer Associate
AssociateAvailable (English only)Intermediate to fairly advanced (assumes basics of data science, Python and DevOps)70–100 hours (rough estimate by this site)
People who build the systems that keep models and generative AI apps running in production with Azure Machine Learning and Microsoft Foundry.
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Progress by domain
Domain weights are from the exam guide. Progress is your practice record in this browser.
| Domain (weight) | Questions | Practice progress | Action |
|---|---|---|---|
| Design and implement an MLOps infrastructure15–20% | 62 | Not answered | Practice |
| Implement machine learning model lifecycle and operations25–30% | 91 | Not answered | Practice |
| Design and implement a GenAIOps infrastructure20–25% | 73 | Not answered | Practice |
| Implement generative AI quality assurance and observability10–15% | 40 | Not answered | Practice |
| Optimize generative AI systems and model performance10–15% | 45 | Not answered | Practice |
Original question bank: 311 questions (multiple choice 17, ordering 13, minimal pairs 122, case studies 6 with 19 questions). Mock exam: 50 questions · 75 min.
Exam basics (checked 2026-10-03)
- Certification
- Microsoft Certified: Machine Learning Operations Engineer Associate
- Exam
- Exam AI-300: Operationalizing Machine Learning and Generative AI Solutions
- Level
- Associate
- Role
- AI Engineer (official)
- Duration
- 120 minutes (per official page)
- Passing
- Scaled score of 700 or higher (per official study guide)
- Languages
- English only (per official page)
- Prerequisites
- No required prerequisite certification (none listed on the official page). Assumes a data science background, Python, introductory DevOps understanding such as GitHub Actions and CLI, and IaC experience with Bicep / Azure CLI.
The official page lists English as the only language (checked 2026-10-03).
Reference links (checked 2026-10-03)
- Certification: https://learn.microsoft.com/en-us/credentials/certifications/operationalizing-machine-learning-and-generative-ai-solutions/
- Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-300
Facts on this page (names, exam codes, domains, weights, duration, passing score) are based on the public pages above and may change.
Notes (unofficial, original questions, no pass guarantee)
- The questions on this site are original practice questions written by this site based on publicly available skills outlines and exam guides. They are not actual exam questions.
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