Master Azure Machine Learning and Microsoft Foundry operations for the AI-300 certification exam
This course contains the use of artificial intelligence.
What you’ll learn
- Deploy Azure Machine Learning workspaces and compute with Bicep IaC and GitHub Actions.
- Register, version, and deploy MLflow models to managed online and batch endpoints with safe rollout and rollback.
- Build GenAIOps on Microsoft Foundry: foundation-model deployment, prompt version control, and groundedness/safety evaluation.
- Optimize production GenAI: RAG retrieval tuning, fine-tuning, observability, and token/cost monitoring.
Course Content
- Course Content –> 11 lectures • 3hr 27min.
Requirements
This course contains the use of artificial intelligence.
Prepare for the Microsoft AI-300 Machine Learning Operations Engineer Associate exam with hands-on labs covering both classic MLOps and GenAIOps. This advanced course guides you through all five exam domains: building MLOps infrastructure with Bicep and GitHub Actions, orchestrating model training and deployment with MLflow, configuring Microsoft Foundry for foundation models, implementing evaluation and observability for generative AI, and optimizing RAG and fine-tuning workflows. Every chapter maps directly to the official exam objectives with scenario-based practice questions and production-focused labs.
Built specifically for the NEW 2026 AI-300 exam, this course assumes you already understand AI fundamentals and focuses exclusively on operationalizing machine learning and generative AI at scale. You will deploy real-time and batch endpoints, version MLflow models and prompts in Git, configure data-drift monitoring, set up groundedness evaluations, tune RAG retrieval strategies, and implement blue-green rollouts – taught with Azure CLI, Bicep, MLflow, and Foundry SDKs at a read-and-understand level.
Includes hands-on lab walkthroughs, 80+ scenario-based practice questions across two full-length practice tests mirroring the actual exam format, and a full 100-minute exam simulation with time-management strategies. Ideal for MLOps engineers, ML engineers moving into production, and DevOps professionals expanding into AI operations. First-to-market coverage of the AI-300 domains released in 2026.
This is an independent exam-preparation course and is not affiliated with, endorsed by, or sponsored by Microsoft. “Microsoft,” “Azure,” and “Microsoft Foundry” are trademarks of the Microsoft group of companies.
AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official AI-300 exam guide.