Using Stable Diffusion with Python. Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Andrew Zhu (Shudong Zhu), Matthew Fisher

Stable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques.You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction.By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.

Data Literacy in Practice. A complete guide to data literacy and making smarter decisions with data through intelligent actions

Angelika Klidas, Kevin Hanegan

Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy.This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.You’ll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.

Beginning C++ Game Programming. Learn C++ from scratch by building fun games - Third Edition

John Horton

Always dreamed of creating your own games? With the third edition of Beginning C++ Game Programming, you can turn that dream into reality! This beginner-friendly guide is updated and improved to include the latest features of VS 2022, SFML, and modern C++20 programming techniques. You'll get a fun introduction to game programming by building four fully playable games of increasing complexity. You'll build clones of popular games such as Timberman, Pong, a Zombie survival shooter, and an endless runner.The book starts by covering the basics of programming. You'll study key C++ topics, such as object-oriented programming (OOP) and C++ pointers and get acquainted with the Standard Template Library (STL). The book helps you learn about collision detection techniques and game physics by building a Pong game. As you build games, you'll also learn exciting game programming concepts such as vertex arrays, directional sound (spatialization), OpenGL programmable shaders, spawning objects, and much more. You’ll dive deep into game mechanics and implement input handling, levelling up a character, and simple enemy AI. Finally, you'll explore game design patterns to enhance your C++ game programming skills.By the end of the book, you'll have gained the knowledge you need to build your own games with exciting features from scratch.

C++ and Algorithmic Thinking for the Complete Beginner. Learn to think like a programmer by mastering C++ and foundational algorithms from scratch

Aristides Bouras

Embark on your programming journey with a thorough introduction to how computers work, setting the stage for understanding C++ and its applications. This course begins with the basics, including setting up your development environment and installing necessary software packages. As you progress, you'll delve into fundamental algorithmic concepts, variables, constants, and handling input and output efficiently.As you build your knowledge, the course introduces more complex topics such as sequence control structures, decision-making processes, and loop control structures. You will learn to manipulate numbers, strings, and understand the intricacies of operators through practical exercises and real-world examples. Visual aids like trace tables and flowcharts will help you visualize the flow of your programs and improve your debugging skills.Towards the end of the course, you'll explore advanced topics such as arrays, data structures, subprograms, and an introduction to object-oriented programming. By the conclusion, you will also gain insights into file handling and advanced algorithmic strategies. Each chapter is designed to build on the previous one, ensuring a cohesive and comprehensive learning experience that equips you with the skills needed to excel in C++ programming and algorithmic thinking.

Learn Python Programming. A comprehensive, up-to-date, and definitive guide to learning Python - Fourth Edition

Fabrizio Romano, Heinrich Kruger

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book.Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.

Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning

James V Stone

This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.

Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking

Cuantum Technologies LLC

Begin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration.You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms.Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.

AI-Powered Commerce. Building the products and services of the future with Commerce.AI

Andy Pandharikar, Frederik Bussler

Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must.Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends.By the end of this artificial intelligence audiobook, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions.

Mastering Adobe Photoshop 2024. Discover the smart way to polish your digital imagery skills by editing professional looking photos

Gary Bradley

Unlock the full potential of Photoshop, the go-to app for content creators, by mastering its complex tools and features. This book, drawing from the award-winning author’s 25+ years of design experience, builds on your existing Photoshop knowledge with proven industry techniques, serving as a launchpad to develop professional skills and transformative personal growth.You’ll fine-tune color and tone in your images with non-destructive adjustment layers and conceal content like backdrops with precise masking techniques for fine details like hair. Working through a series of real-world editing projects, crafting realistic brand mockups and traditional marketing collateral, you’ll learn robust methods for building social media assets in Photoshop, from images to animated GIFs and videos. You’ll also be able to bring your typography to life with styles and effects that are simple to edit and store as preset effects. The final section of the book encapsulates all of your learning to create complex montages using advanced masking and compositing techniques. You’ll have fun elevating your designs with surreal art styles and conceptual imagery using retouching, blending, and liquify filters.By the end of this Adobe Photoshop book, you’ll be equipped to create captivating visuals that leave a lasting impression on your audience.

Refactoring with C++. Explore modern ways of developing maintainable and efficient applications

Dmitry Danilov

Despite the prevalence of higher-level languages, C++ is still running the world, from bare-metal embedded systems to distributed cloud-native systems. C++ is on the frontline whenever there is a need for a performance-sensitive tool supporting complex data structures. The language has been actively evolving for the last two decades.This book is a comprehensive guide that shows you how to implement SOLID principles and refactor legacy code using the modern features and approaches of C++, the standard library, Boost library collection, and Guidelines Support Library by Microsoft. The book begins by describing the essential elements of writing clean code and discussing object-oriented programming in C++. You’ll explore the design principles of software testing with examples of using popular unit testing frameworks such as Google Test. The book also guides you through applying automated tools for static and dynamic code analysis using Clang Tools.By the end of this book, you’ll be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world C++ code.

Building Modern Data Applications Using Databricks Lakehouse. Develop, optimize, and monitor data pipelines on Databricks

Will Girten

With so many tools to choose from in today’s data engineering development stack as well as operational complexity, this often overwhelms data engineers, causing them to spend less time gleaning value from their data and more time maintaining complex data pipelines. Guided by a lead specialist solutions architect at Databricks with 10+ years of experience in data and AI, this book shows you how the Delta Live Tables framework simplifies data pipeline development by allowing you to focus on defining input data sources, transformation logic, and output table destinations.This book gives you an overview of the Delta Lake format, the Databricks Data Intelligence Platform, and the Delta Live Tables framework. It teaches you how to apply data transformations by implementing the Databricks medallion architecture and continuously monitor the data quality of your pipelines. You’ll learn how to handle incoming data using the Databricks Auto Loader feature and automate real-time data processing using Databricks workflows. You’ll master how to recover from runtime errors automatically.By the end of this book, you’ll be able to build a real-time data pipeline from scratch using Delta Live Tables, leverage CI/CD tools to deploy data pipeline changes automatically across deployment environments, and monitor, control, and optimize cloud costs.

Learn SOLIDWORKS 2025. Gain the skills and knowledge you need to become a certified SOLIDWORKS Associate or Professional - Third Edition

Tayseer Almattar

Discover what makes SOLIDWORKS 2025 the leading choice for 3D engineering and product design applications across industries such as aviation, automobile, and consumer product design. Drawing from his experience of teaching over 100,000 global learners and expertise in design thinking, Tayseer Almattar brings a uniquely practical and learner-focused approach to mastering SOLIDWORKS.Starting with the fundamentals, this new edition walks you through the software interface and introduces you to working with 3D files. Through easy-to-follow exercises and hands-on examples, you’ll master essential skills such as sketching, building complex 3D models, generating dynamic and static assemblies, and generating 2D engineering drawings. Each concept will build upon the last to prepare you to take on any design project with confidence. To reinforce your understanding of SOLIDWORKS, the book includes downloadable resources and real-world 3D modeling projects inspired by everyday objects.By the end of this book, you'll have the expertise to create professional 3D mechanical models using SOLIDWORKS and be well-prepared for the Certified SOLIDWORKS Associate (CSWA) and Certified SOLIDWORKS Professional (CSWP) exams.

Building Real-World Web Applications with Vue.js 3. Build a portfolio of Vue.js and TypeScript web applications to advance your career in web development

Joran Quinten

In the ever-evolving web development landscape, Vue.js stands out with its intuitive design and progressive framework, empowering developers to create interactive and dynamic web applications. This book will help you stay in the forefront of modern web technologies by mastering Vue.js through hands-on projects and practical applications.Building Real-World Web Applications with Vue.js 3 is your guide to exploring the core concepts of Vue.js, setting up your development environment, and creating your first Vue.js application. You’ll progress by building a recipe app using Vuetify, followed by leveraging data visualization to create a fitness tracker featuring dynamic dashboards using external databases and Vue-ChartJS. You'll then get to grips with multiplatform development with Quasar to deploy your app.As you develop an interactive quiz app, you’ll be introduced to server-side logic with Nuxt.js, WebSockets for real-time communication, and client-server differentiation. Additionally, you’ll study experimental object recognition using TensorFlow, leveraging machine learning and camera input, and conclude by creating a portfolio website with Nuxt and Storyblok.By the end of this book, you'll have the knowledge and confidence to create your own Vue.js applications and build a portfolio to showcase your Vue.js skills to potential employers.

Practical Cybersecurity Architecture. A guide to creating and implementing robust designs for cybersecurity architects

Ed Moyle, Diana Kelley

Cybersecurity architects work with others to develop a comprehensive understanding of the business' requirements. They work with stakeholders to plan designs that are implementable, goal-based, and in keeping with the governance strategy of the organization.With this audiobook, you'll explore the fundamentals of cybersecurity architecture: addressing and mitigating risks, designing secure solutions, and communicating with others about security designs. The book outlines strategies that will help you work with execution teams to make your vision a concrete reality, along with covering ways to keep designs relevant over time through ongoing monitoring, maintenance, and continuous improvement. As you progress, you'll also learn about recognized frameworks for building robust designs as well as strategies that you can adopt to create your own designs.By the end of this audiobook, you will have the skills you need to be able to architect solutions with robust security components for your organization, whether they are infrastructure solutions, application solutions, or others.

Mastering Embedded Linux Development. Craft fast and reliable embedded solutions with Linux 6.6 and The Yocto Project 5.0 (Scarthgap) - Fourth Edition

Frank Vasquez, Chris Simmonds

Mastering Embedded Linux Development is designed to be both a learning resource and a reference for your embedded Linux projects.In this fourth edition, you'll learn the fundamental elements that underpin all embedded Linux projects: the toolchain, the bootloader, the kernel, and the root filesystem. First, you will download and install a pre-built toolchain. After that, you will cross-compile each of the remaining three elements from scratch and learn to automate the process using Buildroot and the Yocto Project. The book progresses with coverage of over-the-air software updates and rapid prototyping with add-on boards. Two new chapters tackle modern development practices, including Python packaging and deploying containerized applications. These are followed by a chapter on writing multithreaded code and another on techniques to manage memory efficiently. The final chapters demonstrate how to debug your code, whether it resides in user space or in the Linux kernel itself. In addition to GNU debugger (GDB), the book also covers the different tracers and profilers that are available for Linux so that you can quickly pinpoint any performance bottlenecks in your system.By the end of this book, you will be able to create efficient and secure embedded devices with Linux that will delight your users.

Cloud Observability with Azure Monitor. A practical guide to monitoring your Azure infrastructure and applications using industry best practices

José Ángel Fernández, Manuel Lázaro Ramírez

Cloud observability is complex and costly due to the use of hybrid and multi-cloud infrastructure as well as various Azure tools, hampering IT teams’ ability to monitor and analyze issues. The authors distill their years of experience with Microsoft to share the strategic insights and practical skills needed to optimize performance, ensure reliability, and navigate the dynamic landscape of observability on Azure.You’ll get an in-depth understanding of cloud observability and Azure Monitor basics, before getting to grips with the configuration and optimization of data sources and pipelines for effective monitoring. You’ll learn about advanced data analysis techniques using metrics and the Kusto Query Language (KQL) for your logs, design proactive incident response strategies with automated alerts, and visualize reports via dashboards. Using hands-on examples and best practices, you’ll explore the integration of Azure Monitor with Azure Arc and third-party tools, such as Datadog, Elastic Stack, or Dynatrace. You’ll also implement artificial intelligence for IT Operations (AIOps) and secure monitoring for hybrid and multi-cloud environments, aligned with emerging trends.By the end of this book, you’ll be able to develop robust and cost-optimized observability solutions for monitoring your Azure infrastructure and apps using Azure Monitor.

Learning Continuous Integration with Jenkins. An end-to-end guide to creating operational, secure, resilient, and cost-effective CI/CD processes - Third Edition

Nikhil Pathania

This updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup.Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You’ll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you’ll gain a profound understanding of the CI process and Jenkins’ robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally.By the end of the book, you’ll have become an expert in implementing and optimizing CI/CD setups across diverse teams.

Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition

Sinan Ozdemir

Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you’ll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you’ll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You’ll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you’ll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.

Microsoft Power Apps Cookbook. Build user-friendly apps, troubleshoot challenges, and navigate the evolving Power Apps landscape - Third Edition

Eickhel Mendoza

In the rapidly evolving world of low-code development, Microsoft Power Apps stands out as a powerful platform for building custom business solutions. Microsoft Power Apps Cookbook, 3rd Edition, is your hands-on guide to mastering this platform. Through a collection of step-by-step recipes, this updated edition helps you navigate the latest features, such as AI-powered Microsoft Copilot and custom UI elements while empowering you to build efficient and scalable apps.This book emphasizes practical solutions, guiding app makers through building everything from canvas apps to complex data integrations. You will learn how to streamline repetitive tasks using Robotic Process Automation (RPA) and explore how to create external-facing websites using Microsoft Power Pages while handling data management with Dataverse and extending app functionality with the Power Apps Component Framework.Whether you're extending your app's capabilities with custom components or integrating advanced AI features, Microsoft Power Apps Cookbook equips you with the knowledge and skills to take your app development to the next level.

Redis Stack for Application Modernization. Build real-time multi-model applications at any scale with Redis

Luigi Fugaro, Mirko Ortensi

In modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you’ll explore Redis Stack’s new approach to providing a rich data modeling experience all within the same database server.You’ll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you’ll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you’ll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture.By the end of this book, you’ll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.

Data Science with .NET and Polyglot Notebooks. Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

Matt Eland

As the fields of data science, machine learning, and artificial intelligence rapidly evolve, .NET developers are eager to leverage their expertise to dive into these exciting domains but are often unsure of how to do so. Data Science in .NET with Polyglot Notebooks is the practical guide you need to seamlessly bring your .NET skills into the world of analytics and AI. With Microsoft’s .NET platform now robustly supporting machine learning and AI tasks, the introduction of tools such as .NET Interactive kernels and Polyglot Notebooks has opened up a world of possibilities for .NET developers. This book empowers you to harness the full potential of these cutting-edge technologies, guiding you through hands-on experiments that illustrate key concepts and principles. Through a series of interactive notebooks, you’ll not only master technical processes but also discover how to integrate these new skills into your current role or pivot to exciting opportunities in the data science field. By the end of the book, you’ll have acquired the necessary knowledge and confidence to apply cutting-edge data science techniques and deliver impactful solutions within the .NET ecosystem.

LLVM Code Generation. A deep dive into compiler backend development

Quentin Colombet, Kristof Beyls

The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files.You’ll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You’ll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs.By the end of this book, you’ll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.

Mastering Windows 365. Deploy and Manage Cloud PCs and Windows 365 Link devices, Copilot with Intune, and Intune Suite - Second Edition

Christiaan Brinkhoff, Sandeep Patnaik, Morten Pedholt, Scott Manchester, ...

Windows 365 Cloud PC continues to evolve, integrating AI-driven management, enhanced security, and expanded capabilities to provide a seamless cloud-based Windows experience. This second edition builds on the foundation of the first, incorporating new content on Intune Suite, Copilot+ AI PCs, Windows App, and advanced security with Security Copilot to help IT professionals deploy, manage, and optimize Windows 365 Cloud PCs effectively.This edition expands beyond the basics, covering Intune Suite’s role in optimizing and securing deployments, new methods for application management and delivery, and insights into Windows 365 Link for hybrid cloud environments. You’ll also explore AI-powered administration with Security Copilot, providing intelligent security management and automation.Written by experts from the Windows 365 product team and a Microsoft MVP, this book provides practical guidance, best practices, and real-world insights to help you master modern Windows cloud management. Whether you’re working with Windows 365, Intune Suite, or AI-powered administration, this guide equips you with the latest tools and strategies to stay ahead in cloud computing.

Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional

Dr. Logan Song

This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.