Track AI-300 practice status for MLOps and GenAIOps on Azure, review exam scope, and request IT Mastery coverage.
On this page
AI-300 is Microsoft’s MLOps and GenAIOps route for candidates who set up infrastructure, automate model and prompt lifecycle work, deploy and monitor AI systems, and optimize traditional machine learning and generative AI solutions on Azure.
This page tracks the AI-300 practice-bank rollout for IT Mastery. Dedicated simulator practice is not live yet, but you can review the exam snapshot, route fit, and related live Azure practice options while coverage is being prioritized.
Who AI-300 is for
MLOps, AIOps, DevOps, and data-science candidates responsible for production AI systems
engineers working with Azure Machine Learning, Microsoft Foundry, GitHub Actions, Bicep, Azure CLI, monitoring, and lifecycle controls
teams that need a route between data-science experimentation and production-grade AI operations
AI-300 exam snapshot
Vendor: Microsoft
Official certification name: Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate
Exam code: AI-300
Official exam name: Operationalizing Machine Learning and Generative AI Solutions
Status shown by Microsoft Learn: beta
Current IT Mastery status: full simulator not yet live
Topic coverage for AI-300
Domain
Weight
Design and implement an MLOps infrastructure
15-20%
Implement machine learning model lifecycle and operations
25-30%
Design and implement a GenAIOps infrastructure
20-25%
Implement generative AI quality assurance and observability
10-15%
Optimize generative AI systems and model performance
Good live route for provisioning discipline and infrastructure workflow thinking.
Practice bank status
Current status: In demand review
Exact IT Mastery simulator for this exam: not yet live
Best use right now: confirm AI-300 as your target, then practise Azure AI fundamentals, operations, and infrastructure workflow while dedicated coverage is prioritized
Update path: request an update above if AI-300 is your actual target exam