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MLOps (machine learning operations) is a must-know skill for many data professionals. 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

• Start Date: May 5, 2025
• Register Here:Sign up
• Stay Updated: Subscribe to ourGoogle Calendar (Desktop only)

All course materials are freely available for independent study. Follow these steps:

1. Watch the course videos.
2. Join theSlack community.
3. Refer to theFAQ document for guidance.

The course consists of structured modules, hands-on workshops, and a final project to reinforce your learning. Each module introduces core MLOps concepts and tools.

To get the most out of this course, you should have prior experience with:

• Python
• Docker
• Command line basics
• Machine learning (e.g., throughML Zoomcamp)
• 1+ year of programming experience

• What is MLOps?
• MLOps maturity model
• NY Taxi dataset (our running example)
• Why MLOps is essential
• Course structure & environment setup
• Homework

• Introduction to experiment tracking
• MLflow basics
• Model saving and loading
• Model registry
• Hands-on MLflow exercises
• Homework

• Workflow orchestration
• Homework

• Deployment strategies: online (web, streaming) vs. offline (batch)
• Deploying with Flask (web service)
• Streaming deployment with AWS Kinesis & Lambda
• Batch scoring for offline processing
• Homework

• Monitoring ML-based services
• Web service monitoring with Prometheus, Evidently, and Grafana
• Batch job monitoring with Prefect, MongoDB, and Evidently
• Homework

• Unit and integration testing
• Linting, formatting, and pre-commit hooks
• CI/CD with GitHub Actions
• Infrastructure as Code (Terraform)
• Homework

• End-to-end project integrating all course concepts

Join the#course-mlops-zoomcamp channel onDataTalks.Club Slack for discussions, troubleshooting, and networking.

To keep discussions organized:

• Followour guidelines when posting questions.
• Review thecommunity guidelines.

• Cristian Martinez
• Alexey Grigorev
• Emeli Dral

Interested in supporting our community? Reach out toalexey@datatalks.club.

DataTalks.Club is a global online community of data enthusiasts. It's a place to discuss data, learn, share knowledge, ask and answer questions, and support each other.

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At DataTalksClub, we organize online events, community activities, and free courses. You can learn more about what we do atDataTalksClub Community Navigation.