Instructional Materials for Google Cloud Platform (GCP)

Rickey
DSF Web Services Engineering
5 min readDec 7, 2020

In recent years, cloud services have spread rapidly. Among many public clouds, Google Cloud Platform (GCP) has received a great deal of attention.

Illustration by Freepik Storyset

Why Should We Learn GCP?

“You can use the same infrastructures that Google has in-house.”

  • GCP has a high level of security
  • GCP has a great data analysis tool, BigQuery. The entire organization, not just a few experts, can use the data to develop business strategies and improve operations.

For learning GCP, there are so many free official materials from Google. I will introduce one-by-one.

Good Materials to Learn GCP

GCP official YouTube channel

https://www.youtube.com/user/googlecloudplatform

They have content with the following categories:

  • Getting Started with Google Cloud
  • AI and Machine Learning with Google Cloud
  • Identity, Security, and Migration for web applications with Google Cloud
  • Enterprise Solutions with Google Cloud
  • This Week in Cloud
  • Google Cloud Next ’20: OnAir — All Sessions
  • Google Cloud Events Spotlight
  • Level Up — Getting Hands-on with GCP

GCP Training Materials

https://cloud.google.com/training

We can learn the following things from them:

  • Infrastructure Modernization
  • Application Modernization
  • Hybrid and Multi-cloud
  • Smart Analytics and Data Management
  • Apigee and Business Application Platform
  • Networking and Security
  • Machine Learning and Artificial Intelligence
  • Google Cloud for Business
  • Productivity and Collaboration
https://cloud.google.com/training

Google Official Documents

GCP has documents for developers. It must be helpful and good to learn.

Qwiklabs

Qwiklabs is an online learning environment for GCP from Google. You can choose and learn content from several services. As of October 2018, there are a total of 255 labs available.

The nice thing about Qwiklabs is that you can try them out in a cloud environment. You get a temporary account and a GCP project, so you can start using it from a clean environment. It is also carefully explained with screen captures and the commands you need can be copied, making it a great option if you know what services you want to use with GCP.

Google Cloud Certification

Associate Cloud Engineer

This is the most popular of the Google Cloud certifications. It includes deploying applications, monitoring operations, and managing enterprise solutions.

The Associate Cloud Engineer certification exam requires you to be able to:

  • Set up a cloud solution environment
  • Planning and Configuring a Cloud Solution
  • Deploy and implement a cloud solution
  • Stable operation of cloud solutions
  • Access and Security Configuration
  • The official Google recommendation is defined as “6+ months of Google Cloud experience”.

Professional Cloud Architect

The Professional Cloud Architect is more specialized than the Associate Cloud Engineer. It requires specialized knowledge of cloud architecture and Google Cloud, as well as the cloud architecture needed to leverage Google Cloud organizations. You are an architect with the skills to design, develop, and manage robust and secure dynamic solutions to advance business goals.

The Professional Cloud Architect certification exam requires the ability to:

  • Design and plan cloud solution architecture
  • Management and provisioning of cloud solutions infrastructure
  • Designed for security and compliance
  • Analysis and optimization of technical and business processes
  • Managing the implementation of cloud architecture
  • Ensuring the reliability of solutions and operations
  • The official Google recommendation is defined as “3+ years of industry experience, including 1+ years of experience designing and managing solutions using Google Cloud”.

Professional Data Engineer

This certificate is for the skills to collect, transform, and publish data and make data-driven decisions. This includes designing, building, operationalizing, protecting, and monitoring data processing systems, as well as leveraging, deploying, and continuously training existing machine learning models.

The Professional Data Engineer certification exam requires you to be able to

  • Design of data processing systems
  • Building and Operationalizing Data Processing Systems
  • Operationalizing Machine Learning Models
  • Ensuring the quality of the solution
  • The official Google recommendation is defined as “3+ years of industry experience, including 1+ years of experience designing and managing solutions using Google Cloud”.

Professional Collaboration Engineer

This certification is for the skills to structure specific business goals and translate them into policies and security measures while considering users and content. These are architects who bring an engineering and solutions perspective to their work to ensure efficient and secure communications and data access.

The Professional Collaboration Engineer certification exam requires the ability to

  • Plan and implement Google Workspace approvals and access
    User, resource, and shared drive lifecycle management
    Email management
  • Controlling and configuring Google Workspace services
  • Configure and manage endpoint access
  • Monitoring of organizational operations
  • Implementing Google Workspace and facilitating collaboration
  • Google’s official recommendation is defined as “3+ years of industry experience, including 1+ years of experience managing Google Workspace”.

References

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