Prerequisites

The MLOps Zoomcamp builds on existing machine learning and programming experience. It is not a beginner ML course; it teaches you how to take models you already know how to build and run them in production.

For general expectations about zoomcamp time commitment, see Before You Start.

Required skills

You need these basics:

• Python programming.
• Comfort with the command line.
• Docker basics.
• Machine learning fundamentals: training a model, evaluating it, and understanding the typical ML workflow. The Machine Learning Zoomcamp is a good way to cover this.
• At least 1 year of programming experience.

You do not need

You do not need these before starting:

• Prior MLOps or DevOps experience. The course introduces experiment tracking, orchestration, deployment, and monitoring from the ground up.
• Prior cloud experience. The course uses AWS but introduces the services it relies on.
• Deep math. The focus is on engineering and operations, not modeling theory.

If you are missing a prerequisite

If you are new to machine learning, take the Machine Learning Zoomcamp first. If you are comfortable building models but new to Python tooling, Docker, or the command line, work through Module 1, which covers environment setup before the MLOps content begins.