MLOps Zoomcamp

MLOps Zoomcamp is a free, self-paced online course designed to teach practical machine learning operations (MLOps) skills. The course covers the entire ML lifecycle from experiment tracking to model deployment and monitoring, providing hands-on experience with industry-standard tools and practices. It is offered by DataTalks.Club, a community focused on data science education.

The course spans multiple modules covering essential MLOps concepts and tools:

• Experiment Tracking and Model Management - Learn to use MLflow for tracking experiments, managing models, and organizing ML projects systematically
• Workflow Orchestration - Master pipeline orchestration using tools like Mage for building reliable and reproducible ML workflows
• Model Deployment - Gain practical skills in deploying models as web services, including batch and streaming deployment patterns
• Model Monitoring - Understand how to monitor ML models in production to detect data drift and model degradation
• Best Practices - Learn software engineering best practices for ML including testing, CI/CD, and infrastructure as code
• Hands-on Projects - Complete practical projects that simulate real-world MLOps scenarios and build a portfolio

To get started, clone the GitHub repository and follow the course syllabus. Each module includes video lectures, code examples, and homework assignments. The course is designed for those with basic Python and machine learning knowledge who want to learn how to operationalize ML models. Students can join the DataTalks.Club Slack community for support and discussions with fellow learners.