MLOps Zoomcamp is an open-source educational repository that contains the materials for a free course focused on machine learning operations and production machine learning systems. The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment tracking, deployment, monitoring, and infrastructure management. Students learn to use widely adopted tools such as MLflow, orchestration frameworks, and cloud platforms to manage machine learning pipelines. The curriculum emphasizes hands-on projects so learners gain practical experience building automated ML pipelines and maintaining deployed models.
Features
- Comprehensive curriculum covering the machine learning operations lifecycle
- Hands-on projects building production machine learning pipelines
- Integration with tools such as MLflow and orchestration frameworks
- Lessons on deployment, monitoring, and scaling ML systems
- Practical examples using cloud infrastructure and APIs
- Community learning environment with assignments and project work