Track 04Build
3 modules · 2 labs

MLOps 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

  1. Roles and Responsibilities in an ML Team
  2. From Experimentation to Continuous Operations (MLOps Maturity Model)
  3. Governance, Reproducibility, and Compliance

Tools

  • Git
  • Linux
  • Docs

Lab work

Linux-based documentation workflows and architecture diagramming with CLI tools.