schema_version: 2

content_id: eaa43317-fa85-4954-b46b-8bbefcc446e7

slug: mlops-zoomcamp

title: MLOps Zoomcamp

current_cohort: "self-paced"

cohorts:

- identifier: "self-paced"

content: root

- identifier: "2025"

content: cohorts/2025

legacy: true

- identifier: "2024"

content: cohorts/2024

legacy: true

- identifier: "2023"

content: cohorts/2023

legacy: true

- identifier: "2022"

content: cohorts/2022

legacy: true

description: |

MLOps Zoomcamp is a completely free, hands-on course on productionizing machine learning services, from training and experimentation through to deployment and monitoring.

Six modules cover experiment tracking and model management with MLflow, workflow orchestration and ML pipelines, online and batch model deployment, model monitoring, and engineering best practices such as testing, CI/CD, and infrastructure as code. A final project ties them together into an end-to-end system. All materials are available for self-paced study.

outcome: Learn practical aspects of productionizing ML services, from training and experimentation to deployment and monitoring.

urls:

repository: https://github.com/DataTalksClub/mlops-zoomcamp

docs: https://datatalks.club/docs/courses/mlops-zoomcamp/

faq: https://datatalks.club/faq/mlops-zoomcamp.html

hashtag: mlopszoomcamp

published: true