AI-300

MLOps Engineer Associate (AI-300)

Design and implement machine learning operations and generative AI operations on Azure. Master ML model lifecycle management deployment automation and GenAI observability.

75 lessons
15 hours
5 modules
Loading...
Godlike Exams

No AI-300 practice exam yet

Your points already work on 21 Amazon and Microsoft exams.

See the exams

Course Content

5 modules · 75 lessons

Module 1: Design and Implement MLOps Infrastructure

Design and implement MLOps infrastructure for machine learning workloads. (15-20% of exam)

Module 2: Manage ML Model Lifecycle

Manage the complete machine learning model lifecycle from training to retirement. (25-30% of exam)

Module 3: Design and Implement GenAIOps Infrastructure

Design and implement generative AI operations infrastructure on Azure. (20-25% of exam)

Module 4: Implement GenAI QA and Observability

Implement quality assurance and observability for generative AI solutions. (10-15% of exam)

Module 5: Optimize GenAI Systems

Optimize generative AI systems for performance cost and quality. (10-15% of exam)

Your Progress

Godlike Exams

No AI-300 practice exam yet

Your points already work on 21 Amazon and Microsoft exams.

See the exams