EdX

Elastic Google Cloud Infrastructure: Scaling and Automation (edX)

Offered by Google Cloud,
Elastic Google Cloud Infrastructure: Scaling and Automation (edX)

Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine. This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
This course is part of the following programs:

What you'll learn

  • Connect your infrastructure to Google Cloud.
  • Configure load balancers and autoscaling for VM instances.
  • Automate the deployment of Google Cloud infrastructure services.
  • Leverage managed services in Google Cloud.

Prerequisites:
To get the most out of this course, participants should: Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience. Have basic proficiency with command-line tools and Linux operating system environments. Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.

Syllabus

  1. Introduction

In this module we introduce the Architecting with Google Compute Engine course series. This course series is defined for cloud solution architects, DevOps engineers, and anyone who's interested in using Google Cloud, to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Compute Engine.

  1. Interconnecting Networks

Connect your infrastructure to Google Cloud

  1. Load Balancing and Autoscaling

Configure load balancers and autoscaling for VM instances

  1. Infrastructure Automation

Automate the deployment of Google Cloud infrastructure services

  1. Managed Services

Leverage managed services in Google Cloud

  1. Course Resources

PDF links to all modules

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Managing Machine Learning Projects with Google Cloud (Coursera) Coursera
Google Cloud

Managing Machine Learning Projects with Google Cloud (Coursera)

Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact.

Jun 8th 2026
4 Weeks
Preparing for your Professional Cloud Architect Journey (edX) EdX
Google Cloud

Preparing for your Professional Cloud Architect Journey (edX)

For cloud professionals who intend to take the Professional Cloud Architect certification exam. This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

Self Paced
Self-Paced
Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX)

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course, MLOps2: Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML).

Self Paced
Self-Paced
Getting Started with Terraform for Google Cloud (edX) EdX
Google Cloud

Getting Started with Terraform for Google Cloud (edX)

DevOps engineers, Cloud architects, and Cloud engineers who want to start using Terraform to automate infrastructure provisioning with a focus on Google Cloud Platform. This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.

Self Paced
Self-Paced
Salesforce Basics (Coursera) Coursera
University of California, Irvine

Salesforce Basics (Coursera)

In this course, you will learn about what the world’s number one Customer Relationship Manager (CRM) system has to offer. You will begin this course by understanding the components that Salesforce leverages to make it an optimal system. You will learn about the basics in Lightning for Sales, Community Cloud and Marketing, and understanding how to secure your Salesforce Organization and Manage Permissions. These tools will serve as building blocks to implementing Salesforce into any organization. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

Jun 8th 2026
3 Weeks
Salesforce Integration (Coursera) Coursera
University of California, Irvine

Salesforce Integration (Coursera)

Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

Jun 8th 2026
3 Weeks