MLOps Course

Reading about MLOps is not the same as practicing it. The shelf here is two Weights & Biases courses, first for model development and then for CI/CD.

The same notes are in Continuous Integration.

Weights & Biases

Both courses come from the same vendor, so they follow one workflow from design to deployment.

The same notes are in Experiment platforms.

The first course is about the model itself: Effective MLOps for data scientists is tailored for effective model development, streamlining the ML workflow from design to deployment with W&B. Once a model can be developed that way, the second course automates its delivery: CI/CD using GitOps and W&B is the free CI/CD course on best practices for continuous integration and deployment of ML workflows.