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MLOps with Red Hat OpenShift

You're reading from MLOps with Red Hat OpenShift

Product type Book

Published in Jan 2024

Publisher Packt

ISBN-13 9781805120230

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

Table of Contents (13) Chapters

Preface

Part 1: Introduction

Chapter 1: Introduction to MLOps and OpenShift

Part 2: Provisioning and Configuration

Chapter 2: Provisioning an MLOps Platform in the Cloud

Chapter 3: Building Machine Learning Models with OpenShift

Part 3: Operating ML Workloads

Chapter 4: Managing a Model Training Workflow

Chapter 5: Deploying ML Models as a Service

Chapter 6: Operating ML Workloads

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

Index

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Part 2: Provisioning and Configuration

This part covers preparing the cloud environment, provisioning and configuring Red Hat OpenShift and Red Hat OpenShift Data Science, and integrating the platform components. This part also covers the initial platform configuration required for building ML models.

This part has the following chapters:

Chapter 2, Provisioning an MLOps Platform in the Cloud
Chapter 3, Building Machine Learning Models with OpenShift

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MLOps with Red Hat OpenShift

Published in: Jan 2024 Publisher: Packt ISBN-13: 9781805120230

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Authors (2)

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 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.

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