Google Cloud Certified Professional Cloud Developer

Training Architect
course instructor image
Eric Frick
Eric Frick has been involved in software development and IT operations for 30 years. He has worked as a Software Developer, Software Development Manager, Software Architect, an Operations Manager, and a Senior IT Manager. He has a degree in Industrial and Systems Engineering from The Ohio State University and Master’s degree in Computer Science from The University of Dayton. In addition, for the last five years, he has taught classes in various IT related subjects at several universities in the Columbus Ohio area. He has authored a series of online classes and books that can provide practical information to students on various IT related topics including software development, cloud computing, and personal productivity.

Google Cloud Certified Professional Cloud Developer

Introduction

Course Introduction
00:06:14
About the Training Architect
00:00:54
Using the Interactive Diagram
00:02:03
Course Features and Tools
00:02:36
Google Cloud Platform Case Study
00:08:37

1. Designing Highly Scalable, Available, and Reliable Cloud-Native Applications

1.1 Designing Performant Applications and APIs
00:18:14
1.2 Designing Secure Applications
00:10:59
1.3 Managing Application Data
00:09:38
1.4 Re-Architecting Applications from Local Services to Google Cloud Platform
00:05:01
Hands-On-Lab: Migrating Source Code to a Google Cloud Source Repository
00:30:00

2. Building and Testing Applications

2.1 Setting up Your Development Environment
00:09:58
2.2 Building a Continuous Integration Pipeline
00:10:13
2.3 Testing
00:06:09
2.4 Writing Code
00:08:19
Hands-On-Lab: Establishing a CI/CD Pipeline with Google Cloud
00:30:00
Hands-On-Lab: Setting Up a Google Cloud Development Environment
01:00:00

3. Deploying Applications

3.1 Implementing Appropriate Deployment Strategies Based on the Target Compute Environment
00:06:45
3.2 Deploying Applications and Services on Compute Engine
00:13:07
3.3 Deploying Applications and Services on Google Kubernetes Engine
00:11:01
3.4 Deploying an Application to App Engine
00:10:00
3.5 Deploying a Cloud Function
00:09:20
3.6 Creating Data Storage Resources
00:16:32
3.7 Deploying and Implementing Networking Resources
00:06:16
3.8 Automating Resource Provisioning with Deployment Manager
00:03:05
3.9 Managing Service Accounts
00:06:24
Hands-On-Lab: Deploying to Google Cloud App Engine
00:30:00
Hands-On-Lab: Deploying to Google Compute Engine
00:30:00
Hands-On-Lab: Deploying to a Google Kubernetes Engine Cluster
00:30:00
Hands-On-Lab: Integrating Google Cloud Functions
00:30:00

4. Integrating Google Cloud Platform Services

4.1 Integrating an Application with Data and Storage Services
00:17:59
4.2 Integrating an Application with Compute Services
00:12:13
4.3 Integrating Google Cloud APIs with Applications
00:10:46
Hands-On-Lab: Working with Google Cloud Storage
00:30:00
Hands-On-Lab: Setting Up for Google Cloud Spanner
00:30:00
Hands-On-Lab: Working with Data in Google Cloud SQL
00:30:00
Hands-On-Lab: Utilizing Google Cloud Pub/Sub
00:30:00

5. Managing Application Performance Monitoring

5.1 Installing the Logging and Monitoring Agent
00:02:39
5.2 Managing VMs
00:08:35
5.3 Viewing Application Performance Metrics Using Stackdriver
00:07:48
5.4 Diagnosing and Resolving Application Performance Issues
00:16:35
Hands-On-Lab: Monitoring VMs with Stackdriver
01:00:00

Next Steps

Preparing for the Exam
00:02:34
Live-Environment-Challenge: Google Cloud Professional Cloud Developer Practice Exam
01:30:00

Details

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

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 exlain 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.

Interactive Diagram: https://interactive.linuxacademy.com/diagrams/TheProDevCircuit.html

Study Guides

Interactive Diagram

You can access the diagram for the course here: https://interactive.linuxacademy.com/diagrams/TheProDevCircuit.html

Alternate Case Study LAGiftArt

You can access the alternate case study here that is referred to in the practice exam for this course.

Instructor Deck

Community

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