Cloud-Native MLOps with Azure ML and MLflow Course Overview

Unlock the power of Cloud-Native MLOps with our comprehensive course on Azure ML and MLflow. Designed for aspiring data scientists and ML engineers, this course covers key topics such as containerization, experiment tracking, and CI/CD pipelines.

You'll learn Docker fundamentals, implement MLflow for managing experiments and models, and establish CI/CD pipelines using tools like GitHub Actions or Azure DevOps. Gain practical experience in setting up Azure ML workspaces, deploying models, and monitoring performance.

By the end of this course, you'll be equipped to effectively productionize ML models, ensuring robust governance and security in your deployments. Elevate your skills in the rapidly evolving field of MLOps!