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DataTalksClub/mlops-zoomcamp

A free 9-week online course from DataTalks.Club, designed to teach the fundamentals of MLOps, from experimentation to deployment and monitoring.

Core Features

Comprehensive 9-week curriculum covering core MLOps concepts.

Hands-on experience with industry tools like MLflow, Docker, Prometheus, and Grafana.

Practical modules on experiment tracking, model deployment, and monitoring.

Focus on MLOps best practices, including CI/CD and Infrastructure as Code.

Supported by an active online community and self-paced learning options.

Detailed Introduction

The MLOps Zoomcamp is a free, 9-week online course from DataTalks.Club, designed to empower data professionals with critical skills for productionizing machine learning services. It systematically guides learners through the entire MLOps lifecycle, from experiment tracking and model management using MLflow, to advanced topics like workflow orchestration, diverse deployment strategies (web, streaming, batch), and robust model monitoring with tools such as Prometheus and Grafana. The curriculum also integrates best practices like CI/CD with GitHub Actions and Infrastructure as Code, culminating in a practical end-to-end final project. This course is ideal for individuals with prior Python, Docker, and machine learning experience looking to master MLOps.