Machine Learning Platform Engineering [Audiobook]

Get your machine learning models out of the lab and into production!

Delivering a successful machine learning project is hard. Machine Learning Platform Engineering makes it easier. In it, you’ll design a reliable ML system from the ground up, incorporating MLOps and DevOps along with a stack of proven infrastructure tools including Kubeflow, MLFlow, BentoML, Evidently, and Feast.

In Machine Learning Platform Engineering you’ll learn how to

Set up an MLOps platform
Deploy machine learning models to production
Build end-to-end data pipelines
Effective monitoring and explainability

A properly designed machine learning system streamlines data workflows, improves collaboration between data and operations teams, and provides much-needed structure for both training and deployment. In Machine Learning Platform Engineering you’ll learn how to design and implement a machine learning system from the ground up. You’ll appreciate this instantly-useful introduction to achieving the full benefits of automated ML infrastructure.