# DataTalksClub/mlops-zoomcamp

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

Repository: https://github.com/DataTalksClub/mlops-zoomcamp
Canonical: https://ross.abutalabs.com/products/mlops-zoomcamp
Homepage: https://courses.datatalks.club/register/mlops-zoomcamp/
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, mlops, model-deployment, model-monitoring, workflow-orchestration
Last push: 2026-08-25T08:24:06+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 1777, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15186, forks 3030 (observed 2026-08-28T04:11:09.341448+00:00)

## What it is
A free 9-week MLOps course from DataTalks.Club covering productionizing ML services, from training and experimentation to deployment and monitoring. It includes structured modules, hands-on workshops, homework, and a final project, with materials in Jupyter Notebooks and video lectures.

## Use cases
- learn mlops fundamentals
- how to deploy machine learning models to production
- learn model monitoring and experiment tracking
- learn workflow orchestration for ml pipelines
- transition from data scientist to ml engineer
- free mlops course with certificate
- productionize ml services

## When to choose
- you are a data scientist, ML engineer, or software engineer wanting to put ML models into production
- you want a free, structured, cohort-based course with community support
- you already know Python, Docker, and basic machine learning

## When to avoid
- you are a complete beginner without Python, Docker, or ML experience
- you need production MLOps tooling rather than educational materials
- you need a library or framework to integrate into your codebase

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, developer-tools
- domain: machine-learning, tutorials, education
- platform: python, cross-platform
- tags: mlops, free-course, model-deployment, model-monitoring, workflow-orchestration, jupyter-notebooks, video-lectures, devops

## Member repositories
- DataTalksClub/mlops-zoomcamp (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.341448+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:06:34.305700+00:00, confidence not recorded.
  - readme: https://github.com/DataTalksClub/mlops-zoomcamp (fetched 2026-08-28T04:11:09.341448+00:00, sha 92cab4d2ce0d)
  - homepage: https://courses.datatalks.club/register/mlops-zoomcamp/ (fetched 2026-08-29T08:04:29.955782+00:00, sha 3b61a3fbc6fb)
- Data as of 2026-08-30T08:39:29.467469+00:00.