Journey to Become a Google Cloud Machine Learning Engineer PDF Download
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Author: Dr. Logan Song
Publisher: Packt Publishing Ltd
ISBN: 1803239417
Category : Computers
Languages : en
Pages : 330
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Book Description
Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description 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. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.
Author: Dr. Logan Song
Publisher: Packt Publishing Ltd
ISBN: 1803239417
Category : Computers
Languages : en
Pages : 330
Get Book Here
Book Description
Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description 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. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.
Author: Patrick Haggerty
Publisher: Packt Publishing Ltd
ISBN: 1803231998
Category : Computers
Languages : en
Pages : 284
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Book Description
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.
Author: Jothi Periasamy
Publisher: Jothi Periasamy
ISBN:
Category : Computers
Languages : en
Pages : 305
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Book Description
Author: Dr. Sourabh Bhattacharya
Publisher: AG PUBLISHING HOUSE (AGPH Books)
ISBN: 9394339426
Category : Study Aids
Languages : en
Pages : 241
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Book Description
Companies may store as well as manage data on a cloud, allowing for increased scalability in delivery of the applications as well as software as a service. Cloud computing also provides data transport but also storage via the internet or via a direct connection that ensures continuous data flow between the devices, apps, as well as the cloud. In the Internet of Things (IoT), we know that the sensors, machines, various gadgets create a tremendous quantity of data each second. Cloud computing aids in the storing and analysis of this data in order to maximise the benefits of an IoT infrastructure for the organization. Cloud computing plays an important role in fostering this kind of cooperation so that the IoT solution has a high degree of visibility. And the things become more easy for you to understand the basics and significance of Cloud computing& IoT and also how it greatly influence the task of our daily life from individual to corporate level. The book is composed of the total five chapters which introduces you the basics of cloud computing and Internet of things with their significant applications. The very first chapters give through introduction to cloud computing and Internet of things. Second chapter highlights the cloud services and the cloud service providers .The concept of collaborating with cloud services is included in the chapter three and Fourth chapter provides the details about the virtualization of clouds and the very last chapter contains the security standards and the application of cloud computing & IoT.
Author: Mayank Yuvaraj
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311060891X
Category : Language Arts & Disciplines
Languages : en
Pages : 277
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Book Description
Cloud computing is a model where computing resources (processors, storage, software) are offered as a utility from an indistinct location and boundaries to the user. Adoption of Cloud computing in recent years has gained momentum within various avenues round the globe due to its characteristics like elasticity, virtualization and pay-as-you-go pricing. In tune with the trend various companies have evolved which are offering web applications. These companies provide the system required to host the application to users on lease which saves them from purchasing. The book combines both theoretical and practical perspectives of cloud computing with a slant towards library and information centres. The book describes in detail about various companies which are providing cloud computing solutions and infrastructure for library and information centres. Intiatives of OCLC and best practices adopted in other libraries around the world has been discussed at length. Many avenues of the implementation of cloud computing has been identified in the present study. Various initiatives of the library professionals to move their internet sites, their integrated library system for cataloguing and acquisition, Cloud based library apps, Cloud based Stack Map and their repository systems and inter library loan systems to the cloud has been mentioned. The book further proposes a model which may serve as a blueprint for implementation of cloud computing technologies in libraries. With the timely publication of book, library and information service practitioners after going through the book can outsource the task of maintaining the computer infrastructure and focus on their mission to serve people with right information at right point of time.
Author: Jose Ugia Gonzalez
Publisher: Apress
ISBN: 1484210042
Category : Computers
Languages : en
Pages : 377
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Book Description
Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Google is known for the scalability, reliability, and efficiency of its various online products, from Google Search to Gmail. And, the results are impressive. Google Search, for example, returns results literally within fractions of second. How is this possible? Google custom-builds both hardware and software, including servers, switches, networks, data centers, the operating system’s stack, application frameworks, applications, and APIs. Have you ever imagined what you could build if you were able to tap the same infrastructure that Google uses to create and manage its products? Now you can! Building Your Next Big Thing with Google Cloud Platform shows you how to take advantage of the Google Cloud Platform technologies to build all kinds of cloud-hosted software and services for both public and private consumption. Whether you need a simple virtual server to run your legacy application or you need to architect a sophisticated high-traffic web application, Cloud Platform provides all the tools and products required to create innovative applications and a robust infrastructure to manage them. Using this book as your compass, you can navigate your way through the Google Cloud Platform and turn your ideas into reality. The authors, both Google Developer Experts in Google Cloud Platform, systematically introduce various Cloud Platform products one at a time and discuss their strengths and scenarios where they are a suitable fit. But rather than a manual-like "tell all" approach, the emphasis is on how to Get Things Done so that you get up to speed with Google Cloud Platform as quickly as possible. You will learn how to use the following technologies, among others: Google Compute Engine Google App Engine Google Container Engine Google App Engine Managed VMs Google Cloud SQL Google Cloud Storage Google Cloud Datastore Google BigQuery Google Cloud Dataflow Google Cloud DNS Google Cloud Pub/Sub Google Cloud Endpoints Google Cloud Deployment Manager Author on Google Cloud Platform Google APIs and Translate API Using real-world examples, the authors first walk you through the basics of cloud computing, cloud terminologies and public cloud services. Then they dive right into Google Cloud Platform and how you can use it to tackle your challenges, build new products, analyze big data, and much more. Whether you’re an independent developer, startup, or Fortune 500 company, you have never had easier to access to world-class production, product development, and infrastructure tools. Google Cloud Platform is your ticket to leveraging your skills and knowledge into making reliable, scalable, and efficient products—just like how Google builds its own products.
Author: Quentin Docter
Publisher: John Wiley & Sons
ISBN: 1119137934
Category : Computers
Languages : en
Pages : 1392
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Book Description
The ultimate study companion for the A+ certification exams The CompTIA A+ Complete Deluxe Study Guide, 3rd Edition is your ultimate preparation tool for exams 220-901 and 220-902. This Complete Deluxe Study Guide covers 100% of the objectives for both exams, so you can avoid surprises on exam day. Practical insights and examples drawn from real-world experiences give you a glimpse into life on the job, as you solidify your understanding of crucial hardware and operating system maintenance and troubleshooting, practice effective communication, enhance your job skills, and get up to speed on safety, security, and environmental issues. Exam highlights show you what to expect on the big day, and end-of chapter reviews help you grasp the major points in the material. Plus, you'll get access to the exclusive Sybex interactive online learning environment featuring: Eight practice exams Hundreds of sample questions Electronic flashcards Searchable glossary of important terms Over an hour of instructor-led videos on key exam topics Free eBook compatible with multiple devices so you can study on the go The CompTIA A+ certification is the essential computer technician credential and is required by over 100 leading employers. The CompTIA A+ Complete Deluxe Study Guide, 3rd Edition gives you everything you need to approach the exam with confidence and pass with flying colors.
Author: Vladimir O. Safonov
Publisher: John Wiley & Sons
ISBN: 1119113504
Category : Computers
Languages : en
Pages : 346
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Book Description
Introduces the topic of cloud computing with an emphasis on the trustworthiness of cloud computing systems and services This book describes the scientific basis of cloud computing, explaining the ideas, principles, and architectures of cloud computing as well the different types of clouds and the services they provide. The text reviews several cloud computing platforms, including Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo. The author addresses the problem of trustworthiness in cloud computing and provides methods to improve the security and privacy of cloud applications. The end-of-chapter exercises and supplementary material on the book's companion website will allow readers to grasp the introductory and advanced level concepts of cloud computing. Examines cloud computing platforms such as Microsoft Azure, Amazon, Oracle, Google, HP, IBM, Salesforce, and Kaavo Analyzes the use of aspect-oriented programming (AOP) for refactoring cloud services and improving the security and privacy of cloud applications Contains practical examples of cloud computing, test questions, and end-of-chapter exercises Includes presentations, examples of cloud projects and other teaching resources at the author’s website (http://www.vladimirsafonov.org/cloud) Trustworthy Cloud Computing is written for advanced undergraduate and graduate students in computer science, data science, and computer engineering as well as software engineers, system architects, system managers, and software developers new to cloud computing.
Author: Richard Rose
Publisher: Packt Publishing Ltd
ISBN: 183882684X
Category : Computers
Languages : en
Pages : 308
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Book Description
Effectively deploy fully managed workloads using Google Cloud's serverless services Key FeaturesUse real-world use cases to understand the core functionalities of Functions as a ServiceExplore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud StorageGet to grips with architectural decisions, seamless deployments, containerization, and serverless solutionsBook Description Google Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure. With this book, you will learn how to design, develop, and deploy full stack serverless apps on Google Cloud. The book starts with a quick overview of the Google Cloud console, its features, user interface (UI), and capabilities. After getting to grips with the Google Cloud interface and its features, you will explore the core aspects of serverless products such as Cloud Run, Cloud Functions and App Engine. You will also learn essential features such as version control, containerization, and identity and access management with the help of real-world use cases. Later, you will understand how to incorporate continuous integration and continuous deployment (CI/CD) techniques for serverless applications. Toward the concluding chapters, you will get to grips with how key technologies such as Knative enable Cloud Run to be hosted on multiple platforms including Kubernetes and VMware. By the end of this book, you will have become proficient in confidently developing, managing, and deploying containerized applications on Google Cloud. What you will learnExplore the various options for deploying serverless workloads on Google CloudDetermine the appropriate serverless product for your application use caseIntegrate multiple lightweight functions to build scalable and resilient servicesIncrease productivity through build process automationUnderstand how to secure serverless workloads using service accountsBuild a scalable architecture with Google Cloud Functions and Cloud RunWho this book is for If you are a cloud administrator, architect, or developer who wants to build scalable systems and deploy serverless workloads on Google Cloud, then this book is for you. To get the most out of this book, a basic understanding of the serverless ecosystem and cloud computing will be beneficial.
Author: Bhargav Bachina
Publisher: Orange Education Pvt Ltd
ISBN: 8197651175
Category : Computers
Languages : en
Pages : 802
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Book Description
TAGLINE Craft Production-Grade Web Apps with MEVN on AWS, Azure, & GCP KEY FEATURES ● Gain an in-depth understanding of MongoDB, Express.js, Vue.js, and Node.js, and its integration to build full-stack applications. ● Develop a complete project from scratch, covering all aspects of the MEVN stack with detailed, step-by-step instructions. ● Learn how to deploy your MEVN stack applications on popular cloud platforms like AWS, Azure, and GCP. DESCRIPTION Embark on a journey into modern web development with the Ultimate Full Stack Web Development with MEVN to build robust, scalable applications using MongoDB, Express.js, Vue.js, and Node.js. Starting with fundamental concepts and installation steps, this book progresses to advanced topics and hands-on coding exercises, culminating in the creation of a comprehensive project that spans the entire stack. The book will dive into Vue.js for crafting seamless dynamic user interfaces and explore Node.js modules and components to effectively structure applications. Next, it will delve deeper into MongoDB for efficient data management and seamless integration within your MEVN stack. It will navigate UI development intricacies and explore essential logging options to refine Node.js API development practices. In the concluding section, you'll learn essential techniques for deploying MEVN applications effectively in production environments. The book will cover Docker's capabilities for consistent application containerization across varied deployment settings and critical unit testing and end-to-end testing strategies to boost application reliability and performance. By the end of the book, you will be able to deploy and scale your MEVN apps on cloud platforms like Google Cloud, AWS, and Azure. WHAT WILL YOU LEARN ● Integrate MongoDB, Express.js, Vue.js, and Node.js to build robust and scalable applications. ● Utilize MongoDB Atlas and Mongoose for efficient data storage and management. ● Build interactive user interfaces with component-based architecture and state management using Vuex. ● Use Node.js and Express.js to create and deploy efficient, scalable server-side applications. ● Learn Docker fundamentals to containerize and manage applications consistently across environments. ● Deploy, scale, and manage applications on AWS, Azure, and GCP with best practices. ● Add functionalities like user authentication, CRUD operations, and API integrations through hands-on projects. ● Solve real-world problems with coding exercises and scenarios, solidifying your full-stack development expertise. WHO IS THIS BOOK FOR? This book is tailored for aspiring and current developers, including software engineers, web developers, and full-stack developers, who already have a basic understanding of web technologies and programming principles. Familiarity with JavaScript, HTML, and CSS would be a plus. If you are eager to deepen your skills in full stack MEVN development and learn about deploying applications on major cloud platforms like AWS, Azure, and GCP, this book is for you. TABLE OF CONTENTS 1. Introduction 2. Prerequisites 3. Exploring Vue.js 4. Node.js Modules and Components 5. Setting Up Development Environment 6. Backend Development With TypeScript 7. Getting Familiar With MongoDB and Integration 8. UI Development 9. Logging Options in Node.js API 10. Building MEVN Stack for Production 11. Running MEVN Stack on Docker 12. Unit Testing 13. End-to-End Testing 14. MEVN Stack Container Options on Google Cloud 15. MEVN Stack Container Options on AWS 16. MEVN Stack Container Options on Azure Index
