Sign-In
Cart
Machine Learning Platform Engineering: Build an Internal Developer Platform for ML and AI Systems
Paperback
Series: From Scratch
Please select the version of book you would like to purchase.
ISBN10: 1633437337
ISBN13: 9781633437333
Publisher: Manning Publications
Published: Mar 10 2026
Pages: 504
Weight: 1.25
Height: 1.43 Width: 7.33 Depth: 9.22
Language: English
ISBN13: 9781633437333
Publisher: Manning Publications
Published: Mar 10 2026
Pages: 504
Weight: 1.25
Height: 1.43 Width: 7.33 Depth: 9.22
Language: English
Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. Delivering a successful machine learning project is hard. This book makes it easier. In it, you'll design a reliable ML system from the ground up, incorporating MLOps and DevOps along with a stack of proven infrastructure tools including Kubeflow, MLFlow, BentoML, Evidently, and Feast. A properly designed machine learning system streamlines data workflows, improves collaboration between data and operations teams, and provides much-needed structure for both training and deployment. In this book you'll learn how to design and implement a machine learning system from the ground up. You'll appreciate this instantly-useful introduction to achieving the full benefits of automated ML infrastructure. In Machine Learning Platform Engineering you'll learn how to: - Set up an MLOps platform
- Deploy machine learning models to production
- Build end-to-end data pipelines
- Effective monitoring and explainability About the technology AI and ML systems have a lot of moving parts, from language libraries and application frameworks, to workflow and deployment infrastructure, to LLMs and other advanced models. A well-designed internal development platform (IDP) gives developers a defined set of tools and guidelines that accelerate the dev process, improving consistency, security, and developer experience. About the book Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you'll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain. What's inside - Set up an end-to-end MLOps/LLMOps platform
- Deploy ML and AI models to production
- Effective monitoring, evaluation, and explainability About the reader For data scientists or software engineers. Examples in Python. About the author Benjamin Tan Wei Hao leads a team of ML engineers and data scientists at DKatalis. Shanoop Padmanabhan is a software engineering manager at Continental Automotive. Varun Mallya is a senior ML engineer at DKatalis. Table of Contents Part 1
1 Getting started with MLOps and ML engineering
2 What is MLOps?
3 Building applications on Kubernetes
Part 2
4 Designing reliable ML systems
5 Orchestrating ML pipelines
6 Productionizing ML models
Part 3
7 Data analysis and preparation
8 Model training and validation: Part 1
9 Model training and validation: Part 2
10 Model inference and serving
11 Monitoring and explainability
Part 4
12 Designing LLM-powered systems
13 Production LLM system design
A Installation and setup
B Basics of YAML
- Build end-to-end data pipelines
- Effective monitoring and explainability About the technology AI and ML systems have a lot of moving parts, from language libraries and application frameworks, to workflow and deployment infrastructure, to LLMs and other advanced models. A well-designed internal development platform (IDP) gives developers a defined set of tools and guidelines that accelerate the dev process, improving consistency, security, and developer experience. About the book Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you'll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain. What's inside - Set up an end-to-end MLOps/LLMOps platform
- Deploy ML and AI models to production
- Effective monitoring, evaluation, and explainability About the reader For data scientists or software engineers. Examples in Python. About the author Benjamin Tan Wei Hao leads a team of ML engineers and data scientists at DKatalis. Shanoop Padmanabhan is a software engineering manager at Continental Automotive. Varun Mallya is a senior ML engineer at DKatalis. Table of Contents Part 1
1 Getting started with MLOps and ML engineering
2 What is MLOps?
3 Building applications on Kubernetes
Part 2
4 Designing reliable ML systems
5 Orchestrating ML pipelines
6 Productionizing ML models
Part 3
7 Data analysis and preparation
8 Model training and validation: Part 1
9 Model training and validation: Part 2
10 Model inference and serving
11 Monitoring and explainability
Part 4
12 Designing LLM-powered systems
13 Production LLM system design
A Installation and setup
B Basics of YAML
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
$45.00
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Chapple, Mike
Zacker, Craig
Paperback
$38.00
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Bertot, Yves
Castéran, Pierre
Hardcover
$194.60
Seven Databases in Seven Weeks: A Guide to Modern Databases and the Nosql Movement
Redmond, Eric
Wilson, Jim
Perkins, Luc
Paperback
$63.29
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Wickham, Hadley
Paperback
$14.99
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
$16.20
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Kleppmann, Martin
Riccomini, Chris
Paperback
$66.49
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Soares, Nate
Yudkowsky, Eliezer
Hardcover
From $19.99
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
$27.55
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Anthony, Scott D.
Webb, Amy
Review, Harvard Business
Paperback
$21.80
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
$28.80
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Iansiti, Marco
Review, Harvard Business
Davenport, Thomas H.
Paperback
$23.70
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
$30.40
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
$31.35
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Hanna, Alex
Bender, Emily M.
Hardcover
$30.40
Generative Ai: The Insights You Need from Harvard Business Review
Cremer, David De
Review, Harvard Business
Mollick, Ethan
Paperback
$21.80
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
$57.00
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
$18.99
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
$25.60
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Reis, Joe
Housley, Matt
Paperback
$75.99
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
$19.00
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
The Official Minecraft Team
Mojang Ab
Hardcover
$50.31
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Kapoor, Sayash
Narayanan, Arvind
Paperback
$16.10
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
$44.99
We Are as Gods: A Survival Guide for the Age of Abundance
Kotler, Steven
Diamandis, Peter H.
Hardcover
$28.50
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
$32.25
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
$85.49
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Wilson, H. James
Daugherty, Paul R.
Hardcover
$30.40
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
$28.50
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
$19.00
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
$28.50
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
From $11.99
Hands-On Large Language Models: Language Understanding and Generation
Grootendorst, Maarten
Alammar, Jay
Paperback
$75.99
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
$86.88
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
$18.99
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
$26.59
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
$57.00
Fundamentals of Software Architecture: A Modern Engineering Approach
Richards, Mark
Ford, Neal
Paperback
$75.99
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Goldfarb, Avi
Agrawal, Ajay
Gans, Joshua
Hardcover
$30.40
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Jepson, Brian
Hattersley, Lucy
Paperback
$21.84
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Teukolsky, Roselyn, M. S.
Carman, Chris
Paperback
$25.64
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
Mojang Ab
The Official Minecraft Team
Paperback
$12.35
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
$28.49
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
$28.45
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
$18.99
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Matt
Forbeck, Marty
Hardcover
$19.00
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Hardcover
$23.70
The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation
Hill, Paul
Brown, Steve
Paperback
$19.00
You to the Power of Two: Redefining Human Potential in the Age of Identic AI
Bradley, Joseph
Tapscott, Don
Hardcover
$33.20
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
$36.10
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
$14.24
Artificial Intelligence All-In-One for Dummies
Massaron, Luca
Minnick, Chris
Mueller, John Paul
Paperback
$47.49
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
$17.98
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
$26.13
The Fourth Intelligence Revolution: The Future of Espionage and the Battle to Save America
Vinci, Anthony
Hardcover
$29.44
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
$62.69
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
$72.00
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
$23.70
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
$52.20
The Technological Republic: Hard Power, Soft Belief, and the Future of the West
Zamiska, Nicholas W.
Karp, Alexander C.
Hardcover
From $14.99
More Human: How the Power of AI Can Transform the Way You Lead
Carter, Jacqueline
Hougaard, Rasmus
Hardcover
$30.40
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
$75.99
Microsoft 365 Excel All-In-One for Dummies
Ringstrom, David H.
Alexander, Michael
Kusleika, Dick
Paperback
$42.74
The Experimentation Machine: Finding Product-Market Fit in the Age of AI
Bussgang, Jeffrey J.
Hardcover
$40.00
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
From $12.99
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
$35.10
Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
Review, Harvard Business
Davenport, Thomas H.
Agrawal, Ajay
Paperback
$25.60
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
$28.45
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
Goldfarb, Avi
Agrawal, Ajay
Gans, Joshua
Hardcover
$33.25
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Buhagiar, Jon
Docter, Quentin
Paperback
$61.75
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
Lupi, Giorgia
Cox, Phillip
Paperback
$33.25
A Whole New Human: Ten Ways We Must Evolve to Survive and Thrive in the AI Age
Rydall, Derek
Hardcover
$27.55
On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence
Woolfson, Adrian
Hardcover
$31.46
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
Paperback
$75.99
Laptops for Seniors in Easy Steps, 9th Edition: Covers All Laptops with the Windows 11 2024 Update
Vandome, Nick
Paperback
$23.74