Effective MLOps - CI/CD for ML

In this course, participants learn how to streamline ML workflows and save valuable time by automating ML pipelines and deploying models with confidence. They use GitHub Actions and integrate W&B experiment tracking in this practical, hands-on learning experience. The course contains 5 hours of video content and a challenging, hands-on project assignment. Course graduate have learned the following skills: - Automate ML pipelines with GitHub Actions - Automate testing for your ML code - Implement branch protection rules - Integrate Github API in your actions - Integrate W&B API and programmatic reports into ML workflows - Promote models to the registry with W&B