Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate · Microsoft

Foundation path

Build the core knowledge you need, then progress through each learning topic with confidence.

Free learning accessExam blueprint-led

Your study map

The 5 knowledge domains you’ll study

Start with a clear map of the 5 knowledge domains covered on the AI-300 exam.

1
Design and implement an MLOps infrastructure
Design and implement an MLOps infrastructure domain for Microsoft Certified: Machine Learning Operations Engineer Associate.
Exam weight 19%
2
Implement machine learning model lifecycle and operations
Implement machine learning model lifecycle and operations domain for Microsoft Certified: Machine Learning Operations Engineer Associate.
Exam weight 29%
3
Design and implement a GenAIOps infrastructure
Design and implement a GenAIOps infrastructure domain for Microsoft Certified: Machine Learning Operations Engineer Associate.
Exam weight 24%
4
Implement generative AI quality assurance and observability
Implement generative AI quality assurance and observability domain for Microsoft Certified: Machine Learning Operations Engineer Associate.
Exam weight 14%
5
Optimize generative AI systems and model performance
Optimize generative AI systems and model performance domain for Microsoft Certified: Machine Learning Operations Engineer Associate.
Exam weight 14%

Free content

Explore the fundamentals first, then continue through the complete learning path.

1 · Create and manage resources in a Machine Learning workspace

Design and implement an MLOps infrastructure

Estimated 140 minutes

2 · Create and manage assets in a Machine Learning workspace

Design and implement an MLOps infrastructure

Estimated 145 minutes

3 · Implement IaC for Machine Learning

Design and implement an MLOps infrastructure

Estimated 200 minutes

4 · Orchestrate model training

Implement machine learning model lifecycle and operations

Estimated 320 minutes