Table of Contents
Best Google Cloud Platform Courses 2022
Best Google Cloud Platform Books 2022
Best Google Cloud Platform Tutorials 2022
Cloud Architecture with Google Cloud Professional Certificate
The Coursera Google Cloud Professional Cloud Architect certification was ranked among the highest paid IT certifications of 2019 by Global Knowledge. This program provides the skills you need to advance your career in cloud architecture and earns you the industry-recognized Google Cloud Professional Cloud Architect certification. You will implement elements of the solution, including infrastructure components such as networks, systems, and application services, and gain real-world experience through a series of hands-on Qwiklabs projects that you can share with potential employers.
You will also have the opportunity to put key professional skills into practice, including case analysis, identifying technical surveillance points, developing proposed solutions, and testing your basic skills with the Challenge Labs follow-up activity. For students seeking certification, this program will also provide sample exam-like questions, including exam solutions and quizzes that simulate the experience of taking the exam.
At the end of this hands on labs program, you will earn a certificate of achievement to share with your professional network and potential employers. If you want to get your free Google Cloud certification, you will need to register and pass the certification exam. Please note that this program helps you acquire the skills you need to take the certification exam, but the certification and certification fee are not included in the cost of this training program.
Ultimate Google Cloud Certifications: All in one Bundle (4)
This course is not intended for lazy learners – The course covers full coverage of Google Cloud Platform and students need a very long focus / attention to complete. The course does not assume that you have knowledge of Google Cloud Platform or any cloud platform. We cover almost everything on GCP to become a “Hero” regardless of your current understanding of GCP (this can be zero, beginner or intermediate)
You will learn:
Beginner to advanced – I would say zero to hero Google Cloud Platform
Become a master in Google Cloud Platform
Prepare for Google Cloud Certifications – Cloud Engineer, Cloud Architect, Cloud Developer, Data Engineer, Cloud Network Engineer – TBD.
Save time preparing for multiple Google Cloud certification exams.
Single course prepares you for the 4 certifications:
Associate cloud engineer
Professional cloud architect
Professional cloud developer
Professional Cloud Data Engineer – expected in December 2022
Professional DevOps Engineer – expected in June 2022
Google Cloud Platform (GCP) Fundamentals for Beginners
Are you new to Google Cloud Platform (GCP)? Do you need to learn the basics of the main GCP services? If so, this course is for you! This course is the perfect resource to start your GCP journey. GCP is one of the fastest growing sophisticated cloud platforms and cloud provider in the industry. This course aims to provide a comprehensive overview of GCP. From the basics such as compute, storage, and networking to advanced services, this course introduces you to key concepts and then shows you how to start being productive. Each section includes a hands-on demonstration of one of the main services. You’ll also learn about use cases and scenarios for some of Google Cloud’s most important services. This course is carefully designed to help beginners familiarize themselves with GCP.
You will learn
Take the first step in your GCP readiness journey
Explore GCP building blocks
Understand the main GCP services
Learn how to use GCP compute, storage, and networking services
Identify the value proposition of core GCP services
Choose the right GCP service for your use case and business scenario
Apply identity and access management concepts to secure GCP projects
Google Cloud Professional Data Engineer Course [2019 Update]
The core components of GCP are required to pass the Data Engineers Exam using a real-world applications approach. All of the labs in this course get you started techniques used by big data engineers on the GCP. The learning platform course is simplified to allow you to pass the GCP Data Engineers certification. Therefore, this is the most effective course to learn more about GCP if you want to fully understand GCP products and intend to become a Certified Data Engineer in the future. The course is simplified to less than 5 hours! Learn all about GCP in a weekend or in a day!
You will learn:
Understand the main components of GCP, why and when to use its products
Connect to GCP VMs using SSH
Create a dataset using BigQuery
Repeat the BigQuery command in Datalab and draw a graph
Dashboard in Datastudio
Machine learning and AI fundamentals
Hadoop
Applying GCP Products in Real World Applications
Best Google Cloud Platform books 2022
Google Cloud Platform in Action
Google Cloud Platform in Action by JJ Geewax teaches you how to deploy scalable cloud applications on GCP. Google author and software engineer JJ Geewax is your guide to testing everything from hosting a simple WordPress web application to cloud-based artificial intelligence services for computer vision and natural language processing. Along the way, he will learn how to maximize data storage in the cloud technology, deploy serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and comprehensive, this authoritative book has everything you need. You’ll learn how to choose exactly the services that best suit your needs, and you’ll be able to build applications that run on Google Cloud Platform and start faster, have fewer disasters, and require less maintenance. This is the best Google Cloud Platform book.
Google Cloud Platform for Developers: Build highly scalable cloud solutions with the power of Google Cloud Platform
by Ted Hunter and Steven Porter will help you develop and deploy scalable applications from scratch and make them available worldwide in almost any language like google engineers. This book will guide you in designing, implementing, and managing applications that run on Google Cloud. It will start with Google App Engine and continue to work with Container Engine, Compute Engine, and cloud features. You will learn how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to optimize your workflow with tools like source repositories, Container Builder, and StackDriver. Along the way, he will learn how to implement and debug services with IntelliJ, implement continuous delivery pipelines , and configure robust monitoring and alerts for his production systems.
You’re going to learn:
Understand the different service offerings on GCP
Deploy and run services on managed platforms such as App Engine and Container Engine
Maintain application states securely with Cloud Storage, Datastore, and Bigtable
Take advantage of StackDriver monitoring and debugging to minimize downtime and mitigate issues without impacting users
Design and implement complex software solutions using Google Cloud
Integration with the best Big Data solutions such as Bigquery, Dataflow and Pub / Sub
Official Google Cloud Certified Professional Cloud Architect Study Guide
Official Google Cloud Certified Professional Cloud Architect Study Guide by Dan Sullivan is the essential resource for anyone preparing for this much-requested professional-level certification. Clear and accurate chapters cover 100% of the exam objectives, helping you gain the knowledge and confidence you need to be successful on exam day. A pre-book assessment questionnaire helps you assess your skills, while chapter review questions focus on critical learning points. Detailed explanations on critical topics include analyzing and defining technical and business processes, planning migration, and designing storage systems, networks, and computing resources. Written by Dan Sullivan, a well-known author and software enterprise architects who specializes in analytics, machine learning, and cloud computing, this valuable study guide includes access to Sybex’s interactive e-learning environment, including comprehensive practice tests, flashcards electronic flash, glossary search tool and more.
By providing tailored services to a wide range of applications, especially in the high growth areas of data analytics and machine learning, Google Cloud is rapidly gaining market share in the world of cloud computing. Organizations are looking for certified IT professionals who can implement and operate infrastructure, services and networks on Google Cloud training. Take your career to the next level by validating your skills and earning a certification.
Design and plan the architecture of robust cloud solution.
Manage and provision the cloud infrastructure
Guarantee legal compliance and safety standards.
Understand the options for implementing hybrid clouds.
Develop solutions that meet technical, business and reliability requirements
Professional Cloud Architect – Google Cloud Certification Guide: A handy guide to designing, developing, and managing enterprise-grade GCP cloud solutions
Professional Cloud Architect – Google Cloud Certification Guide: A handy guide to designing, developing, and managing enterprise-grade GCP cloud solutions by Konrad Clapa and Brian Gerrard covers a variety of topics specific to the official Google Professional Cloud Architect exam program and guides you in using the best practices to use GCP services effectively.
You will start by exploring google cloud platform specialization, understand the benefits of becoming a certified architect, and learn how to register for the exam. Then you will dive into the basic services that GCP offers, such as IT, storage, and security. As you go along, this GCP book will help you become familiar with the methods to scale and automate your cloud infrastructure and dive into containers and services. In the final chapters, he will learn about security best practices and even learn about designing applications with Google Cloud services and monitoring your infrastructure as a Google Cloud architect. You will learn:
Manage your GCP infrastructure with Google Cloud management options such as CloudShell and SDK
Understand the use cases for different storage options.
Design a solution with security and compliance in mind
Monitor GCP Processing Options
Discover machine learning and the different machine learning models that GCP offers
Understand what services should be used when planning and designing your architecture
Get your google cloud architect certification
Google Cloud Platform for Architects: Design and manage powerful cloud solutions
- Vitthal Srinivasan;Janani Ravi;Judy Raj (Author)
- English (Publication Language)
- 534 Pages - 11/09/2018 (Publication Date) - Packt Publishing - ebooks Account (Publisher)
by Vitthal Srinivasan, Janani Ravi & Judy Raj enables you to take full advantage of GCP and use it with confidence to build a better infrastructure. The book explains how to scale system and strengthen security, helping you become a superior cloud architect. You will learn:
Set up a GCP account and use its services using Cloud Shell, web console, google cloud accounts and client APIs
Leverage App Engine, Compute Engine, Containers on Kubernetes Engine, and Cloud Features
Choose the right service for your data needs from options like Bigtable and BigQuery
Migrate Hadoop, Spark, and Pig workloads with minimal disruption to your existing infrastructure using Dataproc
Understand the health, performance, and availability of cloud applications using Stackdriver’s monitoring, logging, and diagnostic tools.
See how individual cloud services are set up and used
Google Cloud Platform Cookbook: Implement, deploy, maintain, and migrate applications on Google Cloud Platform
- Ps, Legorie Rajan (Author)
- English (Publication Language)
- 280 Pages - 04/16/2018 (Publication Date) - Packt Publishing (Publisher)
by Legorie Rajan PS. The book follows a recipe-based approach, giving you hands-on experience in getting the most out of Google Cloud services. This book begins with how-to recipes that show you how to use common Google Cloud services. Next, you will learn how to get the most out of Google Cloud components, such as networking, security, administration, and development tools. Next, we’ll delve into implementing core Google Cloud services in your organization, with practical recipes on App Engine, Compute Engine microservices with Cloud Functions, virtual networks, and cloud storage. Later, we will provide recipes on Security and Authentication Deployment, Cloud API, Command Line Management, Deployment Management, and Cloud SDK. Finally, we’ll cover administrative troubleshooting tasks with container engines and computing, and show how to monitor your organization’s efficiency with best practices. By the end of this book, you will fully understand how to easily implement Google Cloud services in your organization.
What you are going to learn
Host a Python application on Google Compute Engine
Host an application with Google Cloud Functions
Migrate a MySQL database to Cloud Spanner
Configure a network for a high availability application on GCP
Learn Simple Image Processing Using Storage and Cloud Features
Automate security checks with Policy Scanner
Understand the tools for monitoring a production environment on GCP
Learn to manage multiple projects with service accounts
Practical AI on the Google Cloud Platform: Utilizing Google’s State-of-the-Art AI Cloud Services
- Lanham, Micheal (Author)
- English (Publication Language)
- 391 Pages - 11/24/2020 (Publication Date) - O'Reilly Media (Publisher)
For many developers, working with AI is difficult and costly. That’s why cloud providers have stepped in to help, providing free (or low-cost) cutting-edge models and training resources to get you started. You’ll learn how to leverage Google’s AI-powered cloud services to perform everything from build a chatbot to analyse text, photos, and video with this book.
Author Micheal Lanham walks you through the steps of creating and training models, as well as how to expand your models to handle increasingly complicated tasks. Whether you want to design an AI assistant or a simple commercial AI application, you’ll rapidly learn Google Cloud Platform if you have a good understanding of arithmetic and Python. You will:
Learn key data science, machine learning, and deep learning ideas.
Investigate tools such as Video AI and AutoML Tables.
Using deep learning techniques, create a rudimentary language processor.
Use CNNs, transfer learning, and GANs to recognise images.
Create chatbots and conversational AI with Google Dialogflow.
Use automatic video indexing, facial detection, and TensorFlow Hub to analyse video.
Create a fully functional AI agent application.
Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services
- Costa, Rui Santos (Author)
- English (Publication Language)
- 282 Pages - 11/16/2021 (Publication Date) - O'Reilly Media (Publisher)
Get started with Google Cloud right away. This cookbook includes a number of self-contained recipes that demonstrate how to leverage Google Cloud services for your enterprise project. These recipes take you step-by-step through the process and give conversations that explain how and why the recipes work, whether you’re searching for practical ways to implement microservices, AI, analytics, security, or networking solutions.
This cookbook is designed to help system engineers and administrators, developers, network and database administrators, and data analysts get started with Google Cloud, regardless of their level of experience. Rui Costa and Drew Hodun, both Google veterans, explore advanced-level Google Cloud services for individuals with significant expertise with the platform. You will:
Learn how to use Google Cloud to get started.
Recognize the breadth of services available. Google Cloud offers a variety of services.
Utilize realistic examples and laboratories to gain practical experience.
BigQuery, Cloud Run, and Kubernetes are just a few of the topics covered.
Google Cloud allows you to create and run mobile and online applications.
Consider how you can scale your cloud apps.
Create a production-ready minimal viable product (MVP).
Learn about data platforms and pipelines.
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