Follow Google's own ten-step plan to construct a secure, reliable, and extensible foundation for all your Google Cloud base infrastructural needs Key FeaturesBuild your foundation in Google Cloud with this clearly laid out, step-by-step guideGet expert advice from one of Google's top trainersLearn to build flexibility and security into your Google Cloud presence from the ground upBook Description From data ingestion and storage, through data processing and data analytics, to application hosting and even machine learning, whatever your IT infrastructural need, there's a good chance that Google Cloud has a service that can help. But instant, self-serve access to a virtually limitless pool of IT resources has its drawbacks. More and more organizations are running into cost overruns, security problems, and simple "why is this not working?" headaches. This book has been written by one of Google's top trainers as a tutorial on how to create your infrastructural foundation in Google Cloud the right way. By following Google's ten-step checklist and Google's security blueprint, you will learn how to set up your initial identity provider and create an organization. Further on, you will configure your users and groups, enable administrative access, and set up billing. Next, you will create a resource hierarchy, configure and control access, and enable a cloud network. Later chapters will guide you through configuring monitoring and logging, adding additional security measures, and enabling a support plan with Google. By the end of this book, you will have an understanding of what it takes to leverage Terraform for properly building a Google Cloud foundational layer that engenders security, flexibility, and extensibility from the ground up. What you will learnCreate an organizational resource hierarchy in Google CloudConfigure user access, permissions, and key Google Cloud Platform (GCP) security groupsConstruct well thought out, scalable, and secure virtual networksStay informed about the latest logging and monitoring best practicesLeverage Terraform infrastructure as code automation to eliminate toilLimit access with IAM policy bindings and organizational policiesImplement Google's secure foundation blueprintWho this book is for This book is for anyone looking to implement a secure foundational layer in Google Cloud, including cloud engineers, DevOps engineers, cloud security practitioners, developers, infrastructural management personnel, and other technical leads. A basic understanding of what the cloud is and how it works, as well as a strong desire to build out Google Cloud infrastructure the right way will help you make the most of this book. Knowledge of working in the terminal window from the command line will be beneficial.

Follow Google's own ten-step plan to construct a secure, reliable, and extensible foundation for all your Google Cloud base infrastructural needs Key FeaturesBuild your foundation in Google Cloud with this clearly laid out, step-by-step guideGet expert advice from one of Google's top trainersLearn to build flexibility and security into your Google Cloud presence from the ground upBook Description From data ingestion and storage, through data processing and data analytics, to application hosting and even machine learning, whatever your IT infrastructural need, there's a good chance that Google Cloud has a service that can help. But instant, self-serve access to a virtually limitless pool of IT resources has its drawbacks. More and more organizations are running into cost overruns, security problems, and simple "why is this not working?" headaches. This book has been written by one of Google's top trainers as a tutorial on how to create your infrastructural foundation in Google Cloud the right way. By following Google's ten-step checklist and Google's security blueprint, you will learn how to set up your initial identity provider and create an organization. Further on, you will configure your users and groups, enable administrative access, and set up billing. Next, you will create a resource hierarchy, configure and control access, and enable a cloud network. Later chapters will guide you through configuring monitoring and logging, adding additional security measures, and enabling a support plan with Google. By the end of this book, you will have an understanding of what it takes to leverage Terraform for properly building a Google Cloud foundational layer that engenders security, flexibility, and extensibility from the ground up. What you will learnCreate an organizational resource hierarchy in Google CloudConfigure user access, permissions, and key Google Cloud Platform (GCP) security groupsConstruct well thought out, scalable, and secure virtual networksStay informed about the latest logging and monitoring best practicesLeverage Terraform infrastructure as code automation to eliminate toilLimit access with IAM policy bindings and organizational policiesImplement Google's secure foundation blueprintWho this book is for This book is for anyone looking to implement a secure foundational layer in Google Cloud, including cloud engineers, DevOps engineers, cloud security practitioners, developers, infrastructural management personnel, and other technical leads. A basic understanding of what the cloud is and how it works, as well as a strong desire to build out Google Cloud infrastructure the right way will help you make the most of this book. Knowledge of working in the terminal window from the command line will be beneficial.

Become an expert in Terraform on Google Cloud by using Infrastructure as Code for provisioning multiple yet consistent environments to increase productivity in no time Key FeaturesGet up and running with Terraform on Google CloudLearn Terraform concepts using Google Cloud code examplesApply Terraform to deploy realistic multi-tiered architectures quickly and repeatedlyBook Description Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud. This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you'll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you'll also be able to improve your Terraform workflow using Google Cloud native and third-party tools. By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely. What you will learnAuthenticate Terraform in Google Cloud using multiple methodsWrite efficient Terraform codeUse modules to share Terraform templatesManage multiple environments in Google CloudApply Terraform to deploy multi-tiered architecturesUse public modules to deploy complex architectures quicklyIntegrate Terraform into your Google Cloud environmentWho this book is for This book is for Google Cloud architects and engineers who want to increase their productivity by using Terraform to automate the provisioning of Google Cloud deployments. A basic understanding of Google Cloud, such as the ability to provision resources using the Google Cloud console and using Cloud Shell, is assumed. Certification in Google Cloud is not required but helpful.

Unlock your potential with this ultimate guide to Google Cloud – packed with expert tips, coding techniques, legacy migration, and application extension strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Maximize your code potential using Google Cloud services Migrate legacy code to the cloud seamlessly and create code that runs anywhere Use hands-on examples to learn and showcase your experience with Google Cloud Book Description As more organizations embrace cloud computing, developers new to the cloud often feel overwhelmed by cloud migration and code running directly on the cloud. Google Cloud for Developers comes packed with practical tips and expert advice to accelerate your application development journey and help you unlock the full potential of cloud computing. You'll begin by understanding and comparing all the available options to run your code. You'll write, deploy, monitor, and troubleshoot your code without leaving the Google Cloud IDE while selecting the best option – serverless or GKE containers – for each use case. After that, you'll get to grips with the basic Google Cloud infrastructure services and connect your code with public APIs. This will help you add features to your application, such as language translation and object detection in images or videos. Furthermore, you'll explore a comprehensive list of tips and best practices to make your migration smooth. You'll also gain the necessary knowledge to write code from scratch, by employing the basics of hybrid cloud applications and build services that can run virtually anywhere. By the end of this book, you'll be well equipped to carry out the application development process and successfully move your code to Google Cloud. What you will learn Understand how to write, run, and troubleshoot code on Google Cloud Choose between serverless or GKE containers for running your code Connect your code to Google Cloud services using public APIs Migrate your code to Google Cloud flawlessly Build hybrid cloud solutions that can run virtually anywhere Get to grips with Cloud Functions, App Engine, GKE, and Anthos Who this book is for Google Cloud for Developers is for cloud architects, engineers, or developers willing to migrate their applications and services to Google Cloud or build them from scratch. Entrepreneurs in early-stage start-ups and IT professionals who want to know more about Google Cloud from a developer perspective will also benefit from this book. A basic understanding of Cloud concepts and basic experience in writing Python and Shell scripts is a must.

Written by two Google Cloud experts, this book will help you to create a concrete foundation of Cloud Build so that you can define workflows and pipelines as builds in Google Cloud Build Key FeaturesLearn Cloud Build's API and build configuration/schemaApply scalability and security best practices for using Cloud BuildIntegrate Cloud Build with external systems critical to workflowsBook Description When adopting cloud infrastructure, you are often looking to modernize the automation of workflows such as continuous integration and software delivery. Minimizing operational overhead via fully managed solutions such as Cloud Build can be tough. Moreover, learning Cloud Build's API and build schema, scalability, security, and integrating Cloud Build with other external systems can be challenging. This book helps you to overcome these challenges by cementing a Google Cloud Build foundation. The book starts with an introduction to Google Cloud Build and explains how it brings value via automation. You will then configure the architecture and environment in which builds run while learning how to execute these builds. Next, you will focus on writing and configuring fully featured builds and executing them securely. You will also review Cloud Build's functionality with practical applications and set up a secure delivery pipeline for GKE. Moving ahead, you will learn how to manage safe roll outs of cloud infrastructure with Terraform. Later, you will build a workflow from local source to production in Cloud Run. Finally, you will integrate Cloud Build with external systems while leveraging Cloud Deploy to manage roll outs. By the end of this book, you'll be able to automate workflows securely by leveraging the principles of Google Cloud Build. What you will learnGet started with Cloud Build the right wayDefine new workflows using the Cloud Build schemaImplement a secure build and deployment environment for GKEAutomate serverless workflows for Cloud Run and Cloud FunctionsIntegrate Cloud Build with source code management and artifact storesDevelop a Cloud Build strategy for your organizationWho this book is for This book is for cloud engineers and DevOps engineers who manage cloud environments and desire to automate workflows in a fully managed, scalable, and secure platform. You are expected to have an understanding of cloud fundamentals, software delivery, and containerization fundamentals to get the most out of this book.

Implement machine learning pipelines with Google Cloud Vertex AI Key Features Understand the role of an AI platform and MLOps practices in machine learning projects Get acquainted with Google Vertex AI tools and offerings that help accelerate the creation of end-to-end ML solutions Implement Vision, NLP, and recommendation-based real-world ML models on Google Cloud Platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWhile 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. This book is a comprehensive guide that lets you explore Google Vertex AI’s easy-to-advanced level features for end-to-end ML solution development. Throughout this book, you’ll discover how Vertex AI empowers you by providing essential tools for critical tasks, including data management, model building, large-scale experimentations, metadata logging, model deployments, and monitoring. You’ll learn how to harness the full potential of Vertex AI for developing and deploying no-code, low-code, or fully customized ML solutions. This book takes a hands-on approach to developing u deploying some real-world ML solutions on Google Cloud, leveraging key technologies such as Vision, NLP, generative AI, and recommendation systems. Additionally, this book covers pre-built and turnkey solution offerings as well as guidance on seamlessly integrating them into your ML workflows. By the end of this book, you’ll have the confidence to develop and deploy large-scale production-grade ML solutions using the MLOps tooling and best practices from Google.What you will learn Understand the ML lifecycle, challenges, and importance of MLOps Get started with ML model development quickly using Google Vertex AI Manage datasets, artifacts, and experiments Develop no-code, low-code, and custom AI solution on Google Cloud Implement advanced model optimization techniques and tooling Understand pre-built and turnkey AI solution offerings from Google Build and deploy custom ML models for real-world applications Explore the latest generative AI tools within Vertex AI Who this book is for If you are a machine learning practitioner who wants to learn end-to-end ML solution development on Google Cloud Platform using MLOps best practices and tools offered by Google Vertex AI, this is the book for you.

Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.

Google Certification Guide - Google Associate Cloud Engineer Embark on Your Cloud Engineering Journey with Google Cloud Begin your path to becoming a Google Associate Cloud Engineer with this comprehensive guide. Designed to provide a clear and concise pathway for professionals and enthusiasts alike, this book demystifies the complexities of Google Cloud, preparing you to excel in the certification exam and beyond. What’s Inside: Fundamental Google Cloud Concepts: Gain a solid understanding of core Google Cloud services, from computing and storage to networking and security. Practical Application: Learn through real-world scenarios and hands-on examples that illustrate effective use of Google Cloud services in diverse environments. Focused Exam Preparation: Detailed insights into the structure and content of the Google Associate Cloud Engineer certification exam, enhanced with practice questions and study tips. Current and Comprehensive: Stay up-to-date with the latest Google Cloud features and industry best practices, ensuring your knowledge is relevant in today’s cloud landscape. Expertly Crafted by a Cloud Professional Written by a seasoned cloud engineer with extensive experience in Google Cloud technologies, this guide blends practical knowledge with insightful tips and tricks, offering a well-rounded approach to cloud engineering. Your Comprehensive Guide to Google Cloud Certification Whether you're starting your career in cloud computing or an experienced professional seeking to validate your Google Cloud skills, this book is an invaluable resource, guiding you through the nuances of Google Cloud and preparing you for the Associate Cloud Engineer exam. Elevate Your Cloud Engineering Skills Move beyond theoretical knowledge and dive into the practical aspects of Google Cloud. This guide is more than a certification prep book; it's your roadmap to achieving proficiency in Google Cloud engineering. Begin Your Google Cloud Journey Step into the role of a Google Associate Cloud Engineer with confidence. This guide is your first step toward mastering Google Cloud technologies and forging a successful career in the dynamic world of cloud computing. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

Google Certification Guide - Google Professional Cloud Security Engineer Secure Your Place in the World of Google Cloud Security Embark on a journey to mastering cloud security within the Google Cloud platform with this essential guide, designed for those aspiring to become Google Professional Cloud Security Engineers. This comprehensive resource is your roadmap to understanding the intricacies of securing cloud infrastructure, applications, and data on Google Cloud. Inside, You Will Discover: In-Depth Security Principles: Delve into the core concepts of cloud security, including identity and access management, data protection, and network security within the Google Cloud ecosystem. Practical Security Implementations: Gain hands-on experience through real-world scenarios and case studies, illustrating how to apply Google Cloud security best practices effectively. Focused Exam Preparation: A thorough breakdown of the exam format, including detailed insights into each domain, alongside targeted practice questions to ensure comprehensive preparation. Up-to-Date Security Trends: Stay abreast of the latest in cloud security advancements and best practices, ensuring your knowledge remains relevant and cutting-edge. Crafted by a Cloud Security Expert Written by a seasoned professional in Google Cloud security, this guide merges technical knowledge with practical insights, offering an invaluable learning experience for aspiring cloud security experts. Your Path to Security Expertise Whether you're a security professional transitioning to the cloud or looking to validate your Google Cloud security skills, this book is an indispensable resource, guiding you through the complexities of cloud security and preparing you for the Professional Cloud Security Engineer certification. Elevate Your Cloud Security Skills Beyond preparing for the certification exam, this guide provides a deep understanding of security practices in the Google Cloud environment, equipping you with the skills and knowledge to excel as a cloud security professional. Begin Your Google Cloud Security Journey Take your first step towards becoming a certified Google Professional Cloud Security Engineer. This guide is not just a preparation for the exam; it's your gateway to a successful career in cloud security. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com