References¶

A curated list of books, articles and online courses to help you dive deeper into MLOps.

Books¶

• Designing Machine Learning Systems by Chip Huyen, May 2022, O'Reilly Media, Inc.
• Introducing MLOps by Mark Treveil & Dataiku Team, November 2020, O'Reilly Media, Inc.
• Reliable Machine Learning by Cathy Chen & cie, September 2022, O'Reilly Media, Inc.
• Practical MLOps by Noah Gift & Alfredo Deza, September 2021, O'Reilly Media, Inc.
• Implementing MLOps in the Enterprise by Yaron Haviv & Noah Gift, December 2023, O'Reilly Media, Inc.
• Machine Learning in Production: From Models to Products by Christian Kästner, Carnegie Mellon University.

Courses¶

• Machine Learning in Production by Andrew Ng, DeepLearning.AI.
• Machine Learning in Production @ CMU by Carnegie Mellon University.
• Made With ML by Goku Mohandas.
• MLOps Zoomcamp by DataTalks.Club.

Others¶

• MLOps guide a collection of materials from introductory to advanced by Chip Huyen
• Awesome MLOps a list of references for MLOps