Professional Level
14 Hands-on labs

Google Certified Professional Cloud Architect

By Joseph Lowery

Gain the skills and knowledge to perform as a real-world, professional Cloud Architect.

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23 hours
  • 74 Lessons
  • 14 Hands-On Labs
  • 9 Course Quizzes
  • 3 Practice Exams

About the course

Just as you shouldn’t undertake erecting a new building without engaging a structural architect, a cloud architect is essential when creating business solutions for the cloud. The need for architects who are demonstrably knowledgeable in Google Cloud technologies is especially strong: salaries for Google Certified Professional Cloud Architects ranked near the top of Global Knowledge’s Top-Paying IT Certifications for 2021 list at just under a whopping $170,000.

The objectives of this course are to:

  • Solidify your foundations in designing, planning, and implementing Google Cloud architectures.
  • Enhance your ability to identify and control data flows as they apply to both exam and real-world scenarios.
  • Help you understand various GCP decision flowcharts that apply to different use cases.
  • Guide you in assessing different architectural environments, as exemplified in the official Professional Cloud Architect case studies.
  • Empower you to determine, plan, execute, and evaluate the architectures that you build, all while ensuring your solutions are secure, compliant, and reliable.

You’ll find that the Google Certified Professional Cloud Architect exam is among the most challenging certifications in the industry today. The exam requires much more than just familiarity with the services of Google Cloud: You need to have the skills and knowledge to be able to perform as a real-world, professional Cloud Architect to pass the exam.

I don’t recommend this course for beginners. A foundational experience with Google Cloud Platform is required. Furthermore, we recommend that you pass the Google Certified Associate Cloud Engineer certification exam—and, if you need help, our Google Certified Associate Cloud Engineer course is waiting for you.

Cloud architecting is rewarding on so many levels. If you’re up to the challenge, I hope you’ll join me in this course to achieve your Google Professional Cloud Architect certification.

Lab Highlights

Using Workload Identity on GKE Using ConfigMaps on GKE Deploying GKE Rolling Updates Discovering Latency with Google Cloud Trace Correcting Code with Cloud Debugger Viewing Cloud IoT Core Data Using BigQuery Using Cloud Run with Secret Manager Exporting and Importing Data between Cloud SQL Environments Creating and Managing GCP Service Accounts Enable Public Internet Communication Using Cloud NAT on GCP Connect VPCs with Network Peering on the Google Cloud Platform Creating a Load-Balanced Managed Instance Group on Google Cloud Platform Working with Custom Images on Google Compute Engine Object Versioning in Google Cloud Storage
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  • Chapter 1 3 Lessons Introduction 18:00

    Course Introduction

    2:44

    Course Prerequisites

    2:23

    Working through the Exam Guide

    12:53
  • Chapter 2 6 Lessons Architecting for the Cloud 1:03:35

    Section Introduction

    1:16

    What Makes a Cloud Architect?

    17:14

    Architecting Systems in Context

    11:23

    Breaking Down the Data Lifecycle

    14:30

    Section Summary

    4:12

    Architecting for the Cloud

    15:00 Quiz
  • Chapter 3 7 Lessons Overarching Principles 1:18:57

    Section Introduction

    1:57

    Grasping Key Technical Fundamentals

    14:47

    Keeping in Compliance

    8:11

    Annotating Resources Properly

    6:46

    Managing Quotas and Costs

    13:17

    Section Summary

    3:59

    Overarching Principles

    30:00 Quiz
  • Chapter 4 6 Lessons Reviewing Case Studies 46:39

    Section Introduction

    2:18

    Case Study 1: EHR Healthcare

    12:08

    Case Study 2: Helicopter Racing League

    9:10

    Case Study 3: Mountkirk Games

    9:49

    Case Study 4: TerramEarth

    9:23

    Section Summary

    3:51
  • Chapter 5 11 Lessons Processing Data 4:46:51

    Section Introduction

    2:06

    Reviewing Compute Services

    13:37

    Choosing the Correct Compute Option

    4:43

    Compute Autoscaling Comparison

    9:02

    Evolving the Cloud with ML and AI Services

    14:25

    Handling Big Data and IoT

    14:13

    Section Summary

    3:45

    Working with Custom Images on Google Compute Engine

    1:00:00 Hands-On Lab

    Creating a Load Balanced Managed Instance Group on Google Cloud Platform

    1:00:00 Hands-On Lab

    Viewing Cloud IoT Core Data Using BigQuery

    1:30:00 Hands-On Lab

    Processing Data

    15:00 Quiz
  • Chapter 6 9 Lessons Working with Containers and Specialized Workloads 3:36:12

    Section Introduction

    1:37

    Focusing on Kubernetes Engine

    14:12

    Anthos: A Closer Look

    10:45

    Bare Metal: A Closer Look

    6:19

    Section Summary

    3:19

    Using ConfigMaps on GKE

    1:00:00 Hands-On Lab

    Deploying GKE Rolling Updates

    30:00 Hands-On Lab

    Using Workload Identity on GKE

    1:00:00 Hands-On Lab

    Working with Containers and Specialized Workloads

    30:00 Quiz
  • Chapter 7 9 Lessons Storing Data 3:09:01

    Section Introduction

    1:42

    Storing Your Objects and Files

    14:50

    Selecting the Proper Storage Service

    4:16

    Saving Your Data on GCP

    9:09

    Deciding on the Best Database Solution

    4:37

    Section Summary

    4:27

    Object Versioning in Google Cloud Storage

    30:00 Hands-On Lab

    Exporting and Importing Data between Cloud SQL Environments

    1:30:00 Hands-On Lab

    Storing Data

    30:00 Quiz
  • Chapter 8 8 Lessons Networking Data 2:02:17

    Section Introduction

    1:42

    Globally Connecting with External Networking

    13:18

    Networking Internally

    9:30

    Finding a Load Balancer

    4:30

    Section Summary

    3:17

    Connecting VPCs with Network Peering on the Google Cloud Platform

    30:00 Hands-On Lab

    Enabling Public Internet Communication Using Cloud NAT on GCP

    30:00 Hands-On Lab

    Networking Data

    30:00 Quiz
  • Chapter 9 9 Lessons Managing and Securing Data 2:34:06

    Section Introduction

    2:03

    Establishing Core Security with Cloud IAM - Part 1

    12:19

    Establishing Core Security with Cloud IAM - Part 2

    5:56

    Detecting and Responding to Security Threats

    12:52

    Managing Encrypted Keys

    12:36

    Section Summary

    3:20

    Creating and Managing GCP Service Accounts

    45:00 Hands-On Lab

    Cloud Run with Secret Manager

    30:00 Hands-On Lab

    Managing and Securing Data

    30:00 Quiz
  • Chapter 10 8 Lessons Monitoring and Enhancing Operations 3:02:21

    Section Introduction

    1:31

    Keeping an Eye on Your Systems - Part 1

    10:38

    Keeping an Eye on Your Systems - Part 2

    8:57

    Debugging and Improving Performance

    9:10

    Section Summary

    2:05

    Discovering Latency with Google Cloud Trace

    45:00 Hands-On Lab

    Correcting Code with Cloud Debugger

    1:15:00 Hands-On Lab

    Monitoring and Enhancing Operations

    30:00 Quiz
  • Chapter 11 5 Lessons Planning Your Cloud Migration 56:04

    Section Introduction

    1:24

    Following Data Migration Best Practices

    13:13

    Migrating Applications and Data

    9:13

    Section Summary

    2:14

    Planning Your Cloud Migration

    30:00 Quiz
  • Chapter 12 5 Lessons Conclusion 5:27:14

    Preparing for the Exam

    9:54

    Conclusion and What’s Next

    2:20

    Google Cloud Certified Professional Cloud Architect - Practice Exam - 1

    1:45:00 Quiz

    Google Cloud Certified Professional Cloud Architect - Practice Exam - 2

    1:45:00 Quiz

    Google Cloud Certified Professional Cloud Architect - Practice Exam - 3

    1:45:00 Quiz

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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