This course covers the MLOps practices and Azure tools needed to move AI solutions from development into production. You learn how to automate training pipelines, deploy models to endpoints, monitor performance, and manage model versions using Azure Machine Learning.
Topics include Azure ML pipelines, managed endpoints, model monitoring, responsible AI practices, and integration with Azure DevOps for continuous deployment. The course suits ML engineers, data scientists, and cloud architects who need to operationalize AI workloads in enterprise Azure environments.
By the end of the course, you will be able to build and manage production-grade ML and generative AI deployment pipelines on Azure.
