Top MLops books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite MLops books – and here are the answers.

Table of Contents

Fundamentals of MLops

Understanding the concepts of MLops starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Practical MLOps: Operationalizing Machine Learning Models

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

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Designing Machine Learning Systems

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. ...

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MLOps Engineering at Scale

Dodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!In MLOps Engineering at Scale you will learn: ...

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Implementing MLOps in the Enterprise

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. ...

Recommended by the experts and mentors at MentorCruise

Practical MLOps

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. ...

Recommended by the experts and mentors at MentorCruise

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environme…

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Additional MLops Reading

These books are not required for you to learn MLops, but they are highly recommended for you to deepen your knowledge.

Machine Learning Engineering in Action

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.In Machine Learning Engineering in Action, ...

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Practical Machine Learning on Databricks: Seamlessly transition ML models and MLOps on Databricks

Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks …

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The Definitive Guide to Google Vertex AI: Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices

While AI has become an integral part of every organization today, the development of large-scale ML solutions and management of complex ML workflows in production continue to pose challenges for many. Google's unified data and AI platform, Vertex AI, directly addresses these challenges with its array of MLOPs tools designed for overall workflow management.

Recommended by the experts and mentors at MentorCruise

Reliable Machine Learning

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. ...

Recommended by the experts and mentors at MentorCruise

Practical Mlops: Operationalizing Machine Learning Models

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

Recommended by the experts and mentors at MentorCruise

Engineering MLOps: Rapidly Build, Test, and Manage Production-ready Machine Learning Life Cycles at Scale

Get up and running with machine learning life cycle management and implement MLOps in your organizationKey FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning ...

Recommended by the experts and mentors at MentorCruise

Specializations and Deeper MLops Knowledge

You've got your basics in order – time to move on to some advanced and specialized concepts. MLops is evolving every day, these books can help you master it.

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

This LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps' best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter Notebooks, focusing on how to build production-grade end-to-end LLM systems.
Throughout this book, you will l…

Recommended by the experts and mentors at MentorCruise

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Augment your MLops books

There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!

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I'm an enthusiastic Data Scientist with a solid foundation in software engineering and statistics. I thrive on solving complex problems with data, and I'm particularly fascinated by MLOps. Above all, I'm passionate about motivating individuals to step out of their comfort zones and achieve personal growth. I'm a Machine learning …

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I’m Erik Johannessen, and my passion lies in creating transformative technology ecosystems that drive business growth, efficiency, and scalability. With over 20 years of experience across sectors like Fintech, Retail, Services, Manufacturing, and Government, I’ve led companies through rapid digital transformations, ensuring they stay ahead in today’s fast-paced tech landscape. …

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Hi! I'm Karthik, a Senior Engineering Manager at Pinterest leading our AI Training Infrastructure team. Over the past 7+ years, I've grown from a hands-on engineer to leading teams building large-scale ML systems that power billions of recommendations. I have a passion for mentoring engineers looking to scale their impact, …

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Hi, I’m Aditya Bhatia! I’ve spent over a decade solving complex technical challenges, leading high-impact engineering teams, and mentoring engineers at all stages of their careers. My journey has taken me through companies like Splunk, Apple, and Yahoo, where I’ve built scalable automation platforms, optimized cloud infrastructure, and driven engineering …

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Lead Machine Learning Engineer @ Institut Polytechnique de Paris with the Hi! PARIS Research center https://www.hi-paris.fr/ Ex-Amazon Data Science & DHL Consulting I lead a team of 8 engineers (ml ops engineers, data scientists, data engineers) creating state-of-the-art open-source python packages. Before becoming a manager, my role involved being an …

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👋 Hello! I'm Matt Spear. As an iOS Engineer with a rich experience of over 6 years and an innate curiosity that led me to build my first app in 2015, I thrive at the intersection of innovation, learning, and technology. With a Computer Science degree from the University of …

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  • "Brandon has been supporting me with a software engineering job hunt and has provided amazing value with his industry knowledge, tips unique to my situation and support as I prepared for my interviews and applications."

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