MLOps with Red Hat OpenShift: A cloud-native approach to machine leaing operations

by: Ross Brigoli (Author),Faisal Masood(Author)

Publisher: Packt Publishing

Publication Date: 31 Jan. 2024

Language: English

Print Length: 238 pages

ISBN-10: 1805120239

ISBN-13: 9781805120230

Book Description

Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine leaing workflowsKey FeaturesGrasp MLOps and machine leaing project lifecycle through concept introductionsGet hands on with provisioning and configuring Red Hat OpenShift Data ScienceExplore model training, deployment, and MLOps pipeline building with step-by-step instructionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to haess the power of machine leaing operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine leaing frameworks for training and testing models on the platform.As you advance through the chapters, you’ll focus on the open-source data science and machine leaing platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine leaing models.Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.What you will leaBuild a solid foundation in key MLOps concepts and best practicesExplore MLOps workflows, covering model development and trainingImplement complete MLOps workflows on the Red Hat OpenShift platformBuild MLOps pipelines for automating model training and deploymentsDiscover model serving approaches using Seldon and Intel OpenVinoGet to grips with operating data science and machine leaing workloads in OpenShiftWho this book is forThis book is for MLOps and DevOps engineers, data architects, and data scientists interested in leaing the OpenShift platform. Particularly, developers who want to lea MLOps and its components will find this book useful. Whether you’re a machine leaing engineer or software developer, this book serves as an essential guide to building scalable and efficient machine leaing workflows on the OpenShift platform.Table of ContentsIntroduction to MLOps and OpenShiftProvisioning an MLOps platform in the CloudBuilding Machine Leaing ModelsEmbedding ML Models into the ApplicationsDeploying ML Models as a ServiceOperating ML workloadsBuilding a face detector using the Red Hat ML Platform
About the Author
About the Author 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.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.