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MLOps with Red Hat OpenShift

You're reading from MLOps with Red Hat OpenShift A cloud-native approach to machine learning operations

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781805120230

Length 238 pages

Edition 1st Edition

Tools

MLOps

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

Table of Contents (13) Chapters

Preface

1. Part 1: Introduction FREE CHAPTER

2. Chapter 1: Introduction to MLOps and OpenShift

3. Part 2: Provisioning and Configuration

4. Chapter 2: Provisioning an MLOps Platform in the Cloud

5. Chapter 3: Building Machine Learning Models with OpenShift

6. Part 3: Operating ML Workloads

7. Chapter 4: Managing a Model Training Workflow

8. Chapter 5: Deploying ML Models as a Service

9. Chapter 6: Operating ML Workloads

10. Chapter 7: Building a Face Detector Using the Red Hat ML Platform

11. Index

Why subscribe?

12. Other Books You May Enjoy

Technical requirements

You will need a computer with internet access to provision the platform in AWS. You will also need an active AWS account, which you will use to create the resources required by the platform. You should have basic knowledge of interacting with the AWS portal.

The rest of the chapter is locked

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Authors (2)

Ross Brigoli

Ross Brigoli

Ross Brigoli is a consulting architect at Red Hat, where he focuses on designing and delivering solutions around microservices architecture, DevOps, and MLOps with Red Hat OpenShift for various industries. He has two decades of experience in software development and architecture.

See other products by Ross Brigoli

Faisal Masood

Faisal Masood

Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.

See other products by Faisal Masood

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