Google Cloud Essentials

Google Cloud Essentials

by Dan Sullivan
Released June 2023
Publisher(s): Pearson
ISBN: 0138174253

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Video description

5+ Hours of Video Instruction

5+ hours of video training designed to introduce the knowledge and skills you will need to deploy infrastructure, develop applications, manage networks, and use specialized services, such as AI and serverless data warehousing on the Google Cloud Platform.

Overview:

In 5+ hours of video training, Google Cloud expert and author Dan Sullivan walks you through the essential skills and services you need to get you up and running on the Google Cloud. Throughout the video training, Dan uses demos and labs to cement your understanding and provide you with hands on experience in the Google Cloud Platform. By the end of the course, you will learn how to start using Google Cloud, how to decide which computing service is right for your needs, how to create virtual machines, and use serverless functions for event driven processing. You’ll also learn about running containers in Cloud Run and Google Kubernetes Engine. It also covers hot topics like AI and machine learning on Google Cloud and explores using Google BigQuery for a wide range of analytics workloads.

Topics include:

  • Google Cloud basics
  • Deploying virtual machines
  • Using serverless functions to build event driven workflows
  • Using Google BigQuery to analyze data
  • Identity management and network security on Google Cloud
  • Networking, including working with virtual private clouds and firewall rules
  • Deploying a relational database using a managed services
  • Understanding the state of your infrastructure and services your services using Cloud Monitoring and Cloud Logging
  • Using Cloud Marketplace to deploy pre-packaged software and infrastructure to your virtual private cloud

About the Instructor

Dan Sullivan is a cloud architect and systems developer specializing in data architecture, data analytics, and machine learning. He is the author of the Official Google Cloud Professional Architect Study Guide, the Official Google Cloud Professional Data Engineer Study Guide, and the Official Google Cloud Associate Engineer Study Guide. He is an experienced trainer and his online training courses have been viewed over 1 million times.

Skill Level:

  • Beginner
  • Intermediate

Learn How To:

  • Deploy virtual machines and serverless functions in Google Cloud
  • Deploy a database using Cloud SQL
  • Query a data in Google BigQuery, a managed data warehouse and analytics platform
  • Create firewall rules and assign roles to grant permissions to users
  • Create event driven workflows using Cloud Functions

Who Should Take This Course:

  • You are new to cloud and want to quickly get hands on experience
  • You are experienced with other clouds and want to learn more about Google Cloud
  • You are a developer and want to deploy and maintain solutions in Google Cloud
  • You are an architect and want to understand Google Cloud services and how to use them to develop enterprise-scale solutions
  • You are a data analyst or data scientist and want to learn about the leading cloud for data management, analysis, and machine learning
  • You are a manage and want to understand cloud technology, especially the breadth of services available and how to choose among them

Course Requirements:

  • Familiarity with IT infrastructure concepts, such as servers, databases, and networking
  • Ability to work with graphical user interface as well as a command line

About Pearson Video Training:

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Table of contents

  1. Introduction
    1. Google Cloud Essentials: Introduction
  2. Lesson 1: Overview of Google Cloud
    1. Learning objectives
    2. 1.1 Compute Services
    3. 1.2 Storage Services
    4. 1.3 Networking Services
    5. 1.4 Data Services
  3. Lesson 2: Working with Cloud Console
    1. Learning objectives
    2. 2.1 Getting Started with Google Cloud Console
    3. 2.2 Finding Services in the Console
    4. 2.3 Enabling APIs
    5. 2.4 Checking the Status of Google Cloud Services
    6. 2.5 Lab: Using Google Cloud Console for the First Time
  4. Lesson 3: Understanding Cloud SDK Basics
    1. Learning objectives
    2. 3.1 Components of the Cloud SDK
    3. 3.2 Using the Cloud SDK in the Command Line
    4. 3.3 Using Cloud Shell
  5. Lesson 4: Deploying Virtual Machines with Compute Engine
    1. Learning objectives
    2. 4.1 Create a Virtual Machine in Google Cloud
    3. 4.2 Configure a Virtual Machine in Google Cloud
    4. 4.3 Log into a Virtual Machine on Google Cloud
    5. 4.4 Lab: Deploy a Virtual Machine in Google Cloud
  6. Lesson 5: Working with Serverless Functions
    1. Learning objectives
    2. 5.1 Understand Serverless Functions and Their Benefits
    3. 5.2 Create a Serverless Function in Google Cloud
    4. 5.3 Review the Limitations of Cloud Functions
    5. 5.4 Demo: Testing a Deployed Cloud Function
  7. Lesson 6: Cloud Run for Containerized Applications
    1. Learning objectives
    2. 6.1 Know When to Use Cloud Run
    3. 6.2 Deploy a Service in Cloud Run
    4. 6.3 Logs and Security
  8. Lesson 7: Google Kubernetes Engine
    1. Learning objectives
    2. 7.1 Know When to Use Kubernetes Clusters
    3. 7.2 Create an Auto-pilot Kubernetes Cluster
    4. 7.3 Create a Standard Kubernetes Cluster
    5. 7.4 Monitor the State of a Kubernetes Cluster
  9. Lesson 8: Object Storage in Google Cloud
    1. Learning objectives
    2. 8.1 Know When to Use Cloud Storage
    3. 8.2 View Objects in Cloud Storage
    4. 8.3 Use the Command Line Utility to Work with Cloud Storage
    5. 8.4 Apply Data Lifecycle Management Concepts
    6. 8.5 Create a Cloud Storage Bucket
    7. 8.6 Lab: Create a Storage Bucket
  10. Lesson 9: Managed Database Services in Google Cloud
    1. Learning objectives
    2. 9.1 Understand the Variety of Managed Database Services
    3. 9.2 Create a PostgreSQL Database in Cloud SQL
    4. 9.3 Use a NoSQL Satabase to Store Semi-structured Data
    5. 9.4 Demo: Clone a Cloud SQL Database
    6. 9.5 Lab: Create a PostgreSQL Database
  11. Lesson 10: BigQuery
    1. Learning objectives
    2. 10.1 Review the Benefits of BigQuery
    3. 10.2 View Data in BigQuery Using the Console
    4. 10.3 Use Datasets, Tables, and Views to Work with Data in BigQuery
    5. 10.4 Use BigQuery ML to Create and Use a Machine Learning Model
    6. 10.5 Search for and Add Datasets from Analytics Hub
    7. 10.6 Lab: Query Data in BigQuery
  12. Lesson 11: AI and Machine Learning
    1. Learning objectives
    2. 11.1 Use Vertex AI to Create a Data Set
    3. 11.2 Use Vertex AI to Create a Machine Learning Model
    4. 11.3 Use a Vertex AI Model to Generate Predictions
  13. Lesson 12: Security with Identity and Access Management
    1. Learning objectives
    2. 12.1 Understand Different Types of Identities in Google Cloud
    3. 12.2 View Predefined Roles and Permissions in Google Cloud
    4. 12.3 Assign Roles to Identities
    5. 12.4 View Permissions Recommendations and Custom Roles
    6. 12.5 Lab: Review Roles and Permissions
  14. Lesson 13: Networking
    1. Learning objectives
    2. 13.1 Explore the Structure of a Virtual Private Cloud
    3. 13.2 Create a VPC Network
    4. 13.3 Create a Firewall Rule
    5. 13.4 Lab: Create a Firewall Rule
  15. Lesson 14: Deploying Applications in Google Cloud
    1. Learning objectives
    2. 14.1 Work with Artifact Registry
    3. 14.2 Work with Cloud Build
  16. Lesson 15: Google Cloud Marketplace
    1. Learning objectives
    2. 15.1 Review the Purpose of Google Cloud Marketplace
    3. 15.2 Search Google Cloud Marketplace
    4. 15.3 Install an Application from Google Cloud Marketplace
    5. 15.4 Lab: Deploy a Service from the Google Cloud Marketplace
  17. Lesson 16: Troubleshooting Your Google Cloud Operations and Resources
    1. Learning objectives
    2. 16.1 Monitor Cloud Resources Using Cloud Monitor
    3. 16.2 Create an Alert in Cloud Monitoring
    4. 16.3 Search Cloud Logging Messages
    5. 16.4 Lab: Search Cloud Log Messages
  18. Lesson 17: Google Cloud Billing
    1. Learning objectives
    2. 17.1 Review Cloud Billing Concepts
    3. 17.2 Create Budgets and Billing Alerts
    4. 17.3 Tips for Controlling Costs
    5. 17.4 Lab: Create a Budget
  19. Summary
    1. Google Cloud Essentials: Summary

Product information

  • Title: Google Cloud Essentials
  • Author(s): Dan Sullivan
  • Release date: June 2023
  • Publisher(s): Pearson
  • ISBN: 0138174253