You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801811828

Length 420 pages

Edition 1st Edition

Tools

AWS

Concepts

Machine Learning

Author (1):

Trenton Potgieter

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Table of Contents (18) Chapters

Preface

1. Section 1: Fundamentals of the Automated Machine Learning Process and AutoML on AWS

2. Chapter 1: Getting Started with Automated Machine Learning on AWS FREE CHAPTER

3. Chapter 2: Automating Machine Learning Model Development Using SageMaker Autopilot

4. Chapter 3: Automating Complicated Model Development with AutoGluon

5. Section 2: Automating the Machine Learning Process with Continuous Integration and Continuous Delivery (CI/CD)

6. Chapter 4: Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning

7. Chapter 5: Continuous Deployment of a Production ML Model

8. Section 3: Optimizing a Source Code-Centric Approach to Automated Machine Learning

9. Chapter 6: Automating the Machine Learning Process Using AWS Step Functions

10. Chapter 7: Building the ML Workflow Using AWS Step Functions

11. Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning

12. Chapter 8: Automating the Machine Learning Process Using Apache Airflow

13. Chapter 9: Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow

14. Section 5: Automating the End-to-End Production Application on AWS

15. Chapter 10: An Introduction to the Machine Learning Software Development Life Cycle (MLSDLC)

16. Chapter 11: Continuous Integration, Deployment, and Training for the MLSDLC

17. Other Books You May Enjoy

Creating a CI/CD pipeline on AWS

AWS provides an entire suite of developer tools that address the many requirements for hosting code, and building and deploying pipeline assets. To create a CI/CD pipeline on AWS, we will be making use of three primary services within the AWS developer toolchain. To further simplify the construction and automation of the pipeline, we will make use of two additional services within the AWS development suite.

Note

To learn more about the development tools available from AWS, you can reference the product page (https://aws.amazon.com/products/developer-tools/).

Let's review the important services that make up the CI/CD pipeline.

Using the AWS CI/CD toolchain

The three core components that make up a CI/CD pipeline are as follows:

A component to store the various pipeline artifacts
A component process to build the various pipeline assets
A component to automate the pipeline execution

To facilitate creating these...

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You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Table of Contents (18) Chapters

Creating a CI/CD pipeline on AWS

Using the AWS CI/CD toolchain

Authors (1)

Personalised recommendations for you

You're reading from Automated Machine Learning on AWS Fast-track the development of your production-ready machine learning applications the AWS way

Table of Contents (18) Chapters

Creating a CI/CD pipeline on AWS

Using the AWS CI/CD toolchain

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Authors (1)

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