Master the fundamentals of MLOps, from training and experimentation to deployment and monitoring.
Join Slack • #course-mlops-zoomcamp Channel • Telegram Announcements • Course Playlist • FAQ • Tweet about the Course
| Resource | Link |
|---|---|
| Course materials | GitHub repository |
| Video lectures | YouTube playlist |
| Documentation | Zoomcamp Logistics · MLOps Zoomcamp |
| Course platform (deadlines, homework) | courses.datatalks.club |
| Slack channel | #course-mlops-zoomcamp |
| Announcements | Telegram |
| FAQ | FAQ document |
MLOps (machine learning operations) is a must-know skill for many data professionals. This free 9-week course teaches the fundamentals of MLOps, from training and experimentation to deployment and monitoring, through structured modules, hands-on workshops, and a final project. Each module introduces core MLOps concepts and tools.
This course is for data scientists, ML engineers, and software engineers who want to learn how to put machine learning models into production and operate them reliably.
To get the most out of this course, you should have prior experience with:
- Python
- Docker
- Command line basics
- Machine learning (e.g., through ML Zoomcamp)
- 1+ year of programming experience
There are two ways to follow the course: live and self-paced.
| Live Cohort | Self-Paced | |
|---|---|---|
| Start | Not currently scheduled | Anytime |
| Lectures | Pre-recorded | Pre-recorded |
| Homework | Graded | Available but not scored |
| Leaderboard | ✅ Yes | ❌ No |
| Peer Review | ✅ Yes | ❌ No |
| Certificate | ✅ Yes | ❌ No |
| Cost | Free | Free |
| Register | Get updates | Just start learning! |
Note
We don't plan to run a live cohort in 2026. The course is fully available for self-paced study now. Register here to be notified if we run a live cohort again.
Self-paced steps: