Welcome to the MLOps Zoomcamp 2025 Cohort repository!
This repo contains all the course materials, assignments, and projects for the MLOps Zoomcamp by DataTalks.Club.
The course consists of structured modules, hands-on workshops, and a final project to reinforce your learning.
Each module introduces core MLOps concepts and practical tools.
To get the most out of this course, it is recommended that you have prior experience with:
- Python programming
- Docker basics
- Command line usage
- Machine Learning fundamentals (e.g., from ML Zoomcamp)
- At least 1 year of general programming experience
- What is MLOps?
- MLOps maturity model
- NYC Taxi dataset (our running example)
- Why MLOps is essential
- Course structure & environment setup
- Introduction to MLFlow
- MLflow basics
- Experiment tracking
- Autologging in MLFLow
- Model saving and loading
- Model registry
- Hands-on MLflow exercises
This module introduced workflow orchestration tools and how to build production-ready ML pipelines.
Key Topics Covered:
- Workflow orchestration
- Built and managed pipelines using Prefect
- Homework completed
- Each module folder contains notebooks, datasets, and supporting files for that week's assignments and projects.
- The root-level README will be updated as the course progresses to keep an overview of your learning journey.
- Use GitHub issues or discussions (if enabled) for any questions or collaboration.
Feel free to explore and contribute!
Happy learning with MLOps Zoomcamp 2025! 🎉