This course will familiarize students with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. They'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
 

Upon completion of the Architecting with Google Compute Enginecourse, students 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

Introduction to Google Cloud

• List 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.

Virtual Networks

• 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.

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.

Identity and 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.

Storage and 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.

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.

Resource Monitoring

• 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.

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.

Load Balancing and 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.

Infrastructure Modernization

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

Managed Services

• Describe the managed services for data processing in Google Cloud.

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.
 

No certification available.

Completion of Google Cloud Platform Fundamentals or equivalent experience, 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.