Track 04Build
3 modules · 2 labsMLOps Role in the ML Lifecycle
Map cross-functional workflows between data scientists, data engineers, and platform engineers to streamline model delivery.
Assumes: Introduction to MLOps.
Modules
- Roles and Responsibilities in an ML Team
- From Experimentation to Continuous Operations (MLOps Maturity Model)
- Governance, Reproducibility, and Compliance
Tools
- Git
- Linux
- Docs
Lab work
Linux-based documentation workflows and architecture diagramming with CLI tools.