#2828th of 41 in Learning and cookbooks
mlops-zoomcamp
Free 9-week MLOps course covering tracking, orchestration, deployment and monitoring
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- Stars
- 15.5k
- License
- no license
- Last commit
- Sep 2026
- Language
- Jupyter Notebook
14,262 on 31 Mar 202615,455 on 20 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Course materials for DataTalks.Club's MLOps Zoomcamp: six modules with pre-recorded lectures, homework and a final project, built around the NY Taxi dataset. Topics include MLflow experiment tracking and model registry, workflow orchestration, Flask, AWS Kinesis and Lambda deployment, monitoring with Prometheus, Evidently and Grafana, and CI/CD with GitHub Actions and Terraform.
Who it is for: Data scientists and engineers learning to put ML models into production
Strengths
- Covers the full lifecycle: tracking, orchestration, deployment, monitoring, testing, CI/CD, Terraform
- Pre-recorded video lectures on YouTube; self-paced study available at any time
- Single running example (NY Taxi dataset) and a final end-to-end project
- Taught by three named instructors with a Slack channel and FAQ
Weaknesses
- No live cohort planned for 2026; no graded homework or peer review in self-paced mode
- Certificates only go to learners who finish the project in a live cohort
- Requires prior Python, Docker and ML experience
- No license detected for the repository
What it needs
- Needs Python, Docker, MLflow, Prefect, AWS Kinesis, AWS Lambda, Prometheus, Grafana, Evidently, MongoDB, Terraform, GitHub Actions
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