Architecting with Google Compute Engine

Interested in learning about Google Compute Engine and how it can be used to deploy practical solutions? This three-day course covers everything you need to know about Google Cloud’s Infrastructure as a Service (IaaS) component.
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3 day course
Supporting material
Google Cloud Partner of the Year
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As an authorized Google Cloud Training Partner, we’ve been selected by Google to facilitate the delivery of this three-day Compute Engine course.

Our expert trainers will combine practical labs with presentations and demos to familiarize you with Google Cloud’s flexible infrastructure and help you gain the skills you need to reach your business goals.

Over three days, you’ll explore and deploy practical solutions including secure network interconnection, scalable compute instances, load balancers, customer-supplied encryption keys, security, and access management, quotas and billing, and resource monitoring.

Our Architecting with Google Compute Engine course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in India.

Course overview

Who should attend:

This intermediate-level course is suitable for:

  • 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

What you'll learn:

By the end of this course, you will be able to:

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in Google Cloud
  • Manage and examine billing of Google Cloud resources
  • Monitor resources using Google Cloud services
  • 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


To get the most of out of this course, you should have:

Course agenda

Module 1: Introduction to Google Cloud
  • List the different ways of interacting with Google Cloud
  • Use the Google Cloud Console and Cloud Shell
  • Create Cloud Storage buckets
  • Use the Google Cloud Marketplace to deploy solutions
Module 2: Virtual Networks
  • List the VPC objects in Google Cloud
  • Differentiate between the different types of VPC networks
  • Implement VPC networks and firewall rules
  • Design a maintenance server
Module 3: Virtual Machines
  • Recall the CPU and memory options for virtual machines
  • Describe the disk options for virtual machines
  • Explain VM pricing and discounts
  • Use Compute Engine to create and customize VM instances
Module 4: Identity & Access Management (IAM)
  • Describe the Cloud IAM resource hierarchy
  • Explain the different types of IAM roles
  • Recall the different types of IAM members
  • Implement access control for resources using Cloud IAM
Module 5: Storage & Database Services
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
  • Choose a data storage service based on your requirements
  • Implement data storage services
Module 6: Resource Management
  • Describe the Cloud resource manager hierarchy
  • Recognize how quotas protect Google Cloud customers
  • Use labels to organize resources
  • Explain the behavior of budget alerts in Google Cloud
  • Examine billing data with BigQuery
Module 7: Resource Monitoring
  • Describe the Cloud Operations Suite services for monitoring, logging, error reporting, tracing, profiling and debugging
  • Create charts, alerts, and uptime checks for resources with CloudMonitoring
  • Use Cloud Debugger to identify and fix errors
Module 8: Interconnecting Networks
  • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
  • Determine which Google Cloud interconnect or peering service to use in specific circumstances
  • Create and configure VPN gateways
  • Recall when to use Shared VPC and when to use VPC Network Peering
Module 9: Load Balancing & Autoscaling
  • Recall the various load balancing services
  • Determine which Google Cloud load balancer to use in specific circumstances
  • Describe autoscaling behavior
  • Configure load balancers and autoscaling
Module 10: Infrastructure Automation
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform
  • Outline the Google Cloud Marketplace
Module 11: Managed Services
  • Describe the managed services for data processing in Google Cloud
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