Most machine learning education stops at the moment a model works in a notebook, which is exactly the moment the hard part begins, and MLOps Zoomcamp is the best free attempt I have seen at teaching that hard part. Alexey Grigorev and the DataTalks.Club team built it the same way they built ML Zoomcamp, as a free, open, project-driven course that you can follow at the original cadence or binge at your own pace, and the whole thing lives on GitHub with the videos on YouTube. It runs through six modules plus a capstone, starting with experiment tracking and model registry in MLflow, moving into pipeline orchestration, then deployment in batch, online, and streaming forms, then monitoring with Evidently and Grafana, and finally testing and CI/CD, before pulling everything together into an end-to-end project. That arc is the value.
By the end you have actually deployed and monitored something rather than just trained it, which is the skill employers are quietly desperate for and most candidates do not have. The tooling choices are practical and current, and I appreciate that the course commits to specific tools and shows you the real workflow rather than staying abstract. The honest caveats are about prerequisites and self-discipline. This is not where you learn machine learning, it assumes you can already build a model, write comfortable Python, and find your way around the command line and Docker, so a beginner should do something like ML Zoomcamp or Andrew Ng's specialisation first and then come here.
The team has said they are not planning a live cohort in 2026, and that matters more than it sounds, because the live version's deadlines, leaderboard, and peer-reviewed project pushed a lot of people across the finish line. Self-paced, the same material is all there, but the accountability is gone and you have to bring your own. The tooling is also opinionated and leans on AWS in places, so some of the specific choices will differ from whatever your eventual employer uses, though the concepts transfer cleanly. My take is that for the right learner this is one of the highest-leverage free courses in the whole field, the person who can build models but has never shipped one.
Do the project for real, do not just watch the videos, because the project is where the learning actually happens and the thing you can point a hiring manager to afterwards.