AI-300: Operationalize machine learning and generative AI solutions
Take machine learning and generative AI from experiment to production with this four-day course. You will learn to design, implement and run MLOps and GenAIOps solutions on Azure, from building secure, scalable AI infrastructure to managing the full lifecycle of machine learning models in Azure Machine Learning and deploying, evaluating, monitoring and optimising generative AI apps and agents in Microsoft Foundry.
The course is aimed at data scientists, machine learning engineers and DevOps professionals. You should have experience with Python, a basic grasp of machine learning concepts and some familiarity with source control, CI/CD and command-line tools. Along the way you will apply automation, infrastructure as code and observability using GitHub Actions, Azure CLI and Bicep.
Completing the course prepares you for the Microsoft Certified: Machine Learning Operations Engineer Associate certification.