Google Certified Professional Cloud Architect - Part 1

Training Architect
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Matthew Ulasien
I am a technology enthusiast who specializes in helping people and making businesses run better through modern tech, as well as a fan of all things Google. Before starting with Linux Academy, I was a cloud consultant for small businesses, helping them future-proof outdated infrastructure with modern cloud solutions and transform the way they work. I enjoy spending time with my family, playing games (when I actually have free time), and keeping up with modern technology trends.

Getting Started

Exercise: Sign Up for Google Cloud Trial Account


Getting Started with Google Cloud Platform

Exercise: Create a Project


Google Compute Options

Google Compute Engine

Exercise: Create and Connect to a Linux Instance


Exercise: Create and Connect to a Windows Instance



Google App Engine

Exercise: Deploying Bookshelf Application Using App Engine and Cloud Datastore


Storage Options

Exercise: Integrating Bookshelf Project Images with Google Cloud Storage


Google Container Engine

Exercise: Deploying Bookshelf Application Using Google Container Engine


Big Data and Machine Learning

Exercise: Create BigQuery Dataset and Analyze Results


Course Conclusion

Final Steps


The purpose of this course is twofold:

  1. To help a student who is interested in Google Cloud Platform (GCP) but has not had much hands-on experience to become familiar with the platform be comfortable with navigating the console and learn its capabilities.

  2. Prepare students for the Google Cloud Architect exam by laying down the foundational principles of familiarity with GCP, from which we will introduce more complex concepts in more advanced courses, culminating in preparing for the Google Cloud Architect certification.

Skills that will be covered include:

  • Identify the purpose and value of Google Cloud Platform products and services

  • Interact with Google Cloud Platform services

  • Describe ways in which customers have used Google Cloud Platform

  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Container Engine, and Google Compute Engine

  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore

  • Make basic use of BigQuery, Google’s managed data warehouse for analytics

These will be a high-level overview of the above concepts, which we will build on in more advanced courses.

Study Guides

Google Cloud Architect Essentials

Study guide going over the primary concepts covered in this course.

Slide Deck - GCP Architect Pt 1

Slide deck of course in PDF format.

Instructor Deck


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Earn a Certificate of Completion

When you complete this course, you’ll receive a certificate of completion as proof of your accomplishment.

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