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Getting Started with Amazon SageMaker Studio
book

Getting Started with Amazon SageMaker Studio

by Michael Hsieh
March 2022
Beginner to intermediate content levelBeginner to intermediate
326 pages
6h 49m
English
Packt Publishing
Content preview from Getting Started with Amazon SageMaker Studio

Chapter 11: Operationalize ML Projects with SageMaker Projects, Pipelines, and Model Registry

Data scientists used to spend too much time and effort maintaining and manually managing ML pipelines, a process that starts with data, processing, training, and evaluation and ends with model hosting with ongoing maintenance. SageMaker Studio provides features that aim to streamline these operations with continuous integration and continuous delivery (CI/CD) best practices. You will learn how to implement SageMaker projects, Pipelines, and the model registry to help operationalize the ML lifecycle with CI/CD.

In this chapter, we will be learning about the following:

  • Understanding ML operations and CI/CD
  • Creating a SageMaker project
  • Orchestrating ...
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Publisher Resources

ISBN: 9781801070157Supplemental Content