03B: DevOps for ML

Materials:

Date: Friday, 16-Aug-2024.

Pre-work:

  1. MLOps Platforms some goals
  2. Convention over Configuration
  3. Data Flow Paradigm

In-Class

  1. Git, Docker, Docker Compose, MinIO Object Store
  2. Git Actions, CI/CD
  3. Kedro Tutorial Hands-on: Kedro pipeline execusion via airflow
  4. W03-L02

Post-class:

  1. [Doc] Kedro-Docker Deploy Kedro pipline using Docker via Kedro-Docker plug-in
  2. [blog]Git Flow a mental model of how to work with Git, branching process, and feature development
  3. [video] Git actions for Metrics tracking
  4. Few additional resources on Git, Git Actions, Docker in the Tutorials chapter.
  5. [code] Data Science Life Cycle Process a git flow like Issue tracker and branching process more suitable for Data Science Projects.