MLOps & Deployment
Ship and operate ML: training pipelines, experiment tracking, CI/CD for models, model serving, monitoring, and catching data/concept drift in production.
35 practice questions19 free16 company-verified (Pro)
Course chapters
- 1The ML lifecycle & MLOps
13min · concept, worked example, practice & checkpoint
- 2Pipelines, tracking & reproducibility
14min · concept, worked example, practice & checkpoint
- 3Model serving & deployment
14min · concept, worked example, practice & checkpoint
- 4Monitoring & drift
14min · concept, worked example, practice & checkpoint
- 5LLMOps in production
13min · concept, worked example, practice & checkpoint