Google Cloud Certified Professional Cloud Developer

By Eric Frick

Prepare for the Google Cloud Certified Professional Cloud Developer certification exam.

12 hours
  • 39 Lessons
  • 7 Hands-On Labs
  • 1 Practice Exam

About the course

This course will prepare you for the Google Professional Cloud Developer certification, and all sections are based on the outlined objectives Google published in preparation for the exam. We’ve also included detailed walkthroughs and hands-on labs to reinforce the concepts we cover throughout the course.

Refer to the provided LaGiftArt Case Study

In Section 1, we discuss best practices for designing highly scalable, cloud-ready systems. We will explain best practices for designing performant application interfaces as well as designing secure applications. Following that, we will briefly describe how to best manage application data when migrating to the cloud as well as best practices to follow when re-architecting on-premises applications for migration to the cloud.

Section 2 covers best practices for building and testing applications. The first part of the section covers setting up our development environment for Google Cloud Platform applications. Next, we will look at building a continuous integration pipeline and its benefits. After that, we will get a high-level overview of testing code and major types of testing involved with software development. In the last lesson of the section, we will briefly look at considerations for writing code for cloud-based applications.

Section 3 covers best practices for deploying applications to the Google Cloud Platform. We will first discuss implementing the appropriate deployment model for our particular application. In the next lesson, we will look at considerations for deploying applications to compute engine. Then, we will explain the primary benefits of Google Kubernetes Engine and how to create our first cluster and deploy software to it. In lesson four, we will describe the benefits of using Google App Engine and the basic process for deploying software to App Engine as well as the support for software versions within App Engine. Lesson five provides a high-level overview of cloud functions and how to deploy one. In lesson six, we will look at the wide variety of cloud storage resources supported by the Google Cloud Platform and use cases they support for applications. In the last lessons of this section, we will cover high-level networking issues, automating resource provisioning, and implementing service accounts.

In Section 4, we will discuss products and techniques we can use to integrate an application with Google Cloud Platform services. In the first lesson, we will cover methods to integrate our application with Google Cloud Storage services. Next, we will explain the options to integrate applications with various Compute Services offered by the Google Cloud Platform. In the last part of this section, we will go over examples of integration with Google Cloud API services.

Finally, we will discuss managing application performance using tools provided by Google Cloud Platform. In the first lesson, we will look at the process to install the logging and monitoring agent for virtual machines. Following that, we will go over troubleshooting techniques we can use to manage virtual machines. Then, we will discuss many of the features of Stackdriver and how we can use them to monitor and manage an application’s performance. In the last lesson of this section, we will look at some tips and techniques to diagnose and resolve application performance issues.

  • Chapter 1 6 Lessons Introduction 21:46

    An Important Note About A Cloud Guru and Linux Academy Courses


    Course Introduction


    About the Training Architect


    Using the Interactive Diagram


    Course Features and Tools


    Google Cloud Platform Case Study

  • Chapter 2 5 Lessons 1. Designing Highly Scalable, Available, and Reliable Cloud-Native Applications 1:13:53

    1.1 Designing Performant Applications and APIs


    1.2 Designing Secure Applications


    1.3 Managing Application Data


    1.4 Re-Architecting Applications from Local Services to Google Cloud Platform


    Migrating Source Code to a Google Cloud Source Repository

    30:00 Hands-On Lab
  • Chapter 3 4 Lessons 2. Building and Testing Applications 34:40

    2.1 Setting up Your Development Environment


    2.2 Building a Continuous Integration Pipeline


    2.3 Testing


    2.4 Writing Code

  • Chapter 4 12 Lessons 3. Deploying Applications 2:52:34

    3.1 Implementing Appropriate Deployment Strategies Based on the Target Compute Environment


    3.2 Deploying Applications and Services on Compute Engine


    3.3 Deploying Applications and Services on Google Kubernetes Engine


    3.4 Deploying an Application to App Engine


    3.5 Deploying a Cloud Function


    3.6 Creating Data Storage Resources


    3.7 Deploying and Implementing Networking Resources


    3.8 Automating Resource Provisioning with Deployment Manager


    3.9 Managing Service Accounts


    Deploying to Google Cloud App Engine

    30:00 Hands-On Lab

    Deploying to a Google Kubernetes Engine Cluster

    30:00 Hands-On Lab

    Integrating Google Cloud Functions

    30:00 Hands-On Lab
  • Chapter 5 6 Lessons 4. Integrating Google Cloud Platform Services 2:10:58

    4.1 Integrating an Application with Data and Storage Services


    4.2 Integrating an Application with Compute Services


    4.3 Integrating Google Cloud APIs with Applications


    Setting Up for Google Cloud Spanner

    30:00 Hands-On Lab

    Working with Data in Google Cloud SQL

    30:00 Hands-On Lab

    Utilizing Google Cloud Pub/Sub

    30:00 Hands-On Lab
  • Chapter 6 4 Lessons 5. Managing Application Performance Monitoring 35:40

    5.1 Installing the Logging and Monitoring Agent


    5.2 Managing VMs


    5.3 Viewing Application Performance Metrics Using Stackdriver


    5.4 Diagnosing and Resolving Application Performance Issues

  • Chapter 7 3 Lessons Next Steps 1:33:50

    Preparing for the Exam


    Keep Up to Date with GCP This Month


    Google Cloud Professional Cloud Developer Practice Exam

    1:30:00 Quiz

What you will need

  • Since this is a professional-level certification, the following Linux Academy courses are listed as hard prerequisites (or equivalent experience) to best enable you to pass the exam: - Google Cloud Essentials - Google Cloud Security Essentials - Google Cloud Associate Cloud EngineerAlso, the following Linux Academy courses are also highly recommended resources: - Google App Engine Deep Dive - Google Kubernetes Engine Deep Dive - Google Cloud Function Deep DiveAlso, you will need to have general knowledge and experience in application development.

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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Psst…this one if you’ve been moved to ACG!