A free, hands-on course on building, evaluating, and deploying machine learning systems.

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Machine Learning Zoomcamp is a free, practical course for people who want to learn machine learning engineering by building and deploying real projects.

The course follows the complete path from a machine learning problem to a production service:

Frame the problem, prepare the data, train and evaluate the model, expose it through an API, package it, and deploy it.

You will work with Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, FastAPI, Docker, Kubernetes, and AWS Lambda. Along the way, you will build regression and classification models, evaluate them with appropriate metrics, train tree-based and deep learning models, and deploy machine learning services.

This is not a theory-only course. The emphasis is on applying machine learning to practical problems and turning trained models into services that other applications can use.

This course is for you if you:

• Already have programming experience and want to move into machine learning engineering.
• Want a structured introduction to machine learning without assuming prior ML knowledge.
• Want to understand both model development and production deployment.
• Learn best by completing homework and building end-to-end projects.
• Want portfolio projects that demonstrate practical machine learning skills.
• Benefit from cohort deadlines, community support, peer review, and certificate eligibility.