Google Cloud Architect

Live Online (VILT) & Classroom Corporate Training Course

Google Cloud Architect training course teaches attendees how to get the most out of the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine.
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  • Lifetime Access
    Lifetime Access


In this training course, participants learn how to deploy solution elements, including infrastructure components such as networks, systems, and application services. In addition, they learn how to deploy practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.



At the end of Google Cloud Architect training course, participants will be able to

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in GCP
  • Manage and examine billing of GCP resources
  • Monitor resources using Stackdriver services
  • Connect your infrastructure to GCP
  • Configure load balancers and autoscaling for VM instances
  • Automate the deployment of GCP infrastructure services
  • Leverage managed services in GCP


All participants should have:

  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Course Outline

  • The different ways of interacting with Google Cloud
  • Use the Cloud Console and Cloud Shell
  • Create Cloud Storage buckets.
  • Use the Google Cloud Marketplace to deploy solutions

  • List the VPC objects in Google Cloud
  • Differentiate between the different types of VPC networks
  • Implement VPC networks and firewall rules
  • Implement Private Google Access and Cloud NAT

  • CPU and memory options for virtual machines
  • Disk options for virtual machines
  • VM pricing and discounts
  • Use Compute Engine to create and customize VM instances

  • 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

  • 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

  • The cloud resource manager hierarchy
  • How quotas protect Google Cloud customers
  • Use labels to organize resources
  • The behavior of budget alerts in Google Cloud
  • Billing data with BigQuery

  • Describe the services for monitoring, logging, error reporting, tracing, and debugging
  • Create charts, alerts, and uptime checks for resources with Cloud Monitoring
  • Use Cloud Debugger to identify and fix errors

  • 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
  • When to use Shared VPC and when to use VPC Network Peering

  • Load balancing services
  • Determine which Google Cloud load balancer to use in specific circumstances
  • Autoscaling behavior
  • Configure load balancers and autoscaling

  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform
  • Outline the Google Cloud Marketplace.

  • Managed services for data processing in Google Cloud