Production Machine Learning Systems

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing.
Course info
Level
Advanced
Updated
Sep 9, 2021
Duration
2h 42m
Table of contents
Introduction to Advanced Machine Learning on Google Cloud
Architecting Production ML Systems
Designing Adaptable ML Systems
Designing High-Performance ML Systems
Building Hybrid ML Systems
Summary
Description
Course info
Level
Advanced
Updated
Sep 9, 2021
Duration
2h 42m
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Description

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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