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Course·Intermediate
CI/CD for AI/ML Pipelines: Automated Testing, Deployment & GitOps
Master continuous integration and deployment for machine learning systems. Learn GitHub Actions and GitLab CI/CD for ML workflows, data validation with Great Expectations and Pandera, experiment automation with DVC and CML, and GitOps deployment with ArgoCD. Build robust, automated pipelines that test, validate, and deploy ML models to production.
106min
24lessons
6modules
Apr 22, 2026Updated
Free to start
02 / Curriculum
The full course map.
Why ML Needs Specialized CI/CDNo signup3 min
CI/CD Pipeline Anatomy for ML3 min
Continuous Training (CT) Concept3 min
Tool Landscape Overview3 min
Quiz: Module 1: CI/CD Fundamentals for ML