You're reading from Machine Learning Engineering on AWS Build, scale, and secure machine learning systems and MLOps pipelines in production

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781803247595

Length 530 pages

Edition 1st Edition

Tools

AWS

Concepts

Machine Learning

Author (1):

Joshua Arvin Lat

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Table of Contents (19) Chapters

Preface

1. Part 1: Getting Started with Machine Learning Engineering on AWS

2. Chapter 1: Introduction to ML Engineering on AWS FREE CHAPTER

3. Chapter 2: Deep Learning AMIs

4. Chapter 3: Deep Learning Containers

5. Part 2:Solving Data Engineering and Analysis Requirements

6. Chapter 4: Serverless Data Management on AWS

7. Chapter 5: Pragmatic Data Processing and Analysis

8. Part 3: Diving Deeper with Relevant Model Training and Deployment Solutions

9. Chapter 6: SageMaker Training and Debugging Solutions

10. Chapter 7: SageMaker Deployment Solutions

11. Part 4:Securing, Monitoring, and Managing Machine Learning Systems and Environments

12. Chapter 8: Model Monitoring and Management Solutions

13. Chapter 9: Security, Governance, and Compliance Strategies

14. Part 5:Designing and Building End-to-end MLOps Pipelines

15. Chapter 10: Machine Learning Pipelines with Kubeflow on Amazon EKS

16. Chapter 11: Machine Learning Pipelines with SageMaker Pipelines

17. Index

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18. Other Books You May Enjoy

Preparing the essential prerequisites

In this section, we will work on the following:

Preparing the IAM role for the EC2 instance of the Cloud9 environment
Attaching the IAM role to the EC2 instance of the Cloud9 environment
Updating the Cloud9 environment with the essential prerequisites

Let’s work on and prepare the essential prerequisites one by one.

Preparing the IAM role for the EC2 instance of the Cloud9 environment

In order for us to securely create and manage Amazon EKS and AWS CloudFormation resources from inside the EC2 instance of the Cloud9 environment, we would need to attach an IAM role to the EC2 instance. In this section, we will prepare this IAM role and configure it with the permissions required to create and manage the other resources in this chapter.

Note

We will discuss Amazon EKS and AWS CloudFormation in more detail in the Setting up Kubeflow on Amazon EKS section of this chapter.

In the next set of steps, we will...

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You're reading from Machine Learning Engineering on AWS Build, scale, and secure machine learning systems and MLOps pipelines in production

Table of Contents (19) Chapters

Preparing the essential prerequisites

Preparing the IAM role for the EC2 instance of the Cloud9 environment

Authors (1)

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You're reading from Machine Learning Engineering on AWS Build, scale, and secure machine learning systems and MLOps pipelines in production

Table of Contents (19) Chapters

Preparing the essential prerequisites

Preparing the IAM role for the EC2 instance of the Cloud9 environment

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Authors (1)

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