MLOps Zoomcamp is a free online course that teaches machine learning operations fundamentals through structured modules, hands-on workshops, and a final project.
The course addresses the challenge of moving machine learning models from experimentation to reliable production systems. It covers the full lifecycle of MLOps work: training and experimentation, deployment, and monitoring. The curriculum introduces core concepts and tools across nine weeks, with both live cohort and self-paced learning options available.
The course targets data scientists, ML engineers, and software engineers who need to productionize models. It assumes prior experience with Python, Docker, command-line basics, and machine learning fundamentals, plus at least one year of programming experience. Learners can choose between a live cohort with graded homework, peer review, and a certificate, or a self-paced track where homework is available but not scored. The live option includes a leaderboard for competitive engagement.
The project maintains an active community presence with a dedicated Slack channel and Telegram announcements. Course materials are openly available on GitHub alongside pre-recorded video lectures on YouTube. The repository welcomes pull requests, indicating openness to community contributions and improvements to the course content.
