This class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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

  • Introduction to Google Cloud Platform

  • List the different ways of interacting with GCP
    Use the GCP Console and Cloud Shell
    Create Cloud Storage buckets
    Use the GCP Marketplace to deploy solutions

  • Virtual Networks

  • List the VPC objects in GCP
    Differentiate between the different types of VPC networks
    Implement VPC networks and firewall rules
    Design a maintenance server

  • 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

  • Cloud 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 GCP customers
    Use labels to organize resources
    Explain the behavior of budget alerts in GCP
    Examine billing data with BigQuery

  • Resource Monitoring

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

  • Interconnecting Networks

  • Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
    Determine which GCP 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 GCP load balancer to use in specific circumstances
    Describe autoscaling behavior
    Configure load balancers and autoscaling

  • Infrastructure Automation

  • Automate the deployment of GCP services using Deployment Manager or Terraform
    Outline the GCP Marketplace

  • Managed Services

  • Describe the managed services for data processing in GCP


Cloud Solutions Architects and DevOps Engineers will benefit from this course. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine will also benefit.




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.


Length: 3.0 days (24 hours)


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