Architecting with Google Compute Engine

3 days (21 hours)

Course overview

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, 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.

Learning outcomes

This course teaches participants the following skills:

  • Prendre en compte toute la gamme des technologies Google Cloud Platform
  • Apprendre des méthodes pour développer, mettre en œuvre et déployer des solutions
  • Distinguer les fonctionnalités de produits et de technologies similaires ou connexes
  • Reconnaître une grande variété de domaines de solutions, de cas d’utilisation et d’applications
  • Développer des compétences essentielles pour la gestion et l’administration des solutions
  • Développer des connaissances sur les modèles de solutions: méthodes, technologies et conceptions utilisées pour implémenter la sécurité, l’évolutivité, la haute disponibilité et d’autres qualités souhaitées


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

  • Completion of Google Cloud 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

Target audience

This course is intended for the following participants:

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

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

Module 1: 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.

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. Implement Private Google Access and Cloud NAT.

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: CloudIAM

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 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.

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 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.

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 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.

Module 10: Infrastructure Modernization

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.

€2100 ex. VAT

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