Full Stack MLOps

Principles and Practice

You will find below material on Full Stack MLOps: Principles and Practice - based on the course AI-839 taught at IIIT-B in the Fall of 2024.

Content

Background
Chapter Topics Resources
00-A Preface
1. Why MLOps
2. About the Book: Approach, Expectations and Outcomes		 Preface
  Added Thu, 1st Jan, 2025
00-B Setup
1. OSS for MLOps
2. ML PODS
MLOps Stack
  Added Thu, 2nd Jan, 2025

References

  1. [book] ML Engineering, Andiry Burkov, 2019, LeanPub
  2. [book] Effective Data Science Infrastructure, Vile Tuulos, 2023, Manning
  3. [book] ML System Design, Chip Huyen, 2023, O’Reilly
  4. [course] CS329S @ Stanford: ML Systems Design, Chip Huyen, 2022
  5. [course] MLOps, Gokul Mohandas, 2024