Architecting with Google Compute Engine

Master Google Cloud's Compute Engine to become a Cloud Solutions Architect or DevOps Engineer, leveraging infrastructure elements, VPC networks, and managed services in diverse environments.

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Essential Skills Gained

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Design and deploy scalable infrastructures using Google Compute Engine.

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Implement effective security and access management strategies.

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Automate cloud-based services deployment and management.

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Optimize resource monitoring and billing management.

Format

  • Instructor-led
  • 3 days with lectures and hands-on labs.

Audience

  • Cloud Solutions Architects
  • DevOps Engineers
  • IT Professionals integrating systems with Google Cloud
  • System Administrators focusing on Compute Engine

Description

This course will familiarize you 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. You'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.

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Upcoming Course Dates

September 10-12, 2025

9:00 AM - 5:00 PM

Virtual: Online - US/Eastern

Enroll

$2700

Course Outline

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Module 1: Introduction to Google Cloud

  1. List the different ways of interacting with Google Cloud

  2. Interact with the Google Cloud console and Cloud Shell

  3. Create Cloud Storage buckets

  4. Deploy solutions using Google Cloud Marketplace

Module 2: Virtual Networks

  1. List the VPC objects in Google Cloud

  2. Explore VPC Networking

  3. Implement Private Google Access and Cloud NAT

Module 3: Virtual Machines

  1. Recall the CPU and memory options for virtual machines

  2. Describe the disk options for virtual machines

  3. Explain VM pricing and discounts

  4. Create and customize VM instances using Compute Engine

Module 4: Identity and Access Management (IAM)

  1. Describe the Cloud IAM resource hierarchy.

  2. Explain the different types of IAM roles.

  3. Recall the different types of IAM members.

  4. Implement access control for resources using Cloud IAM.

Module 5: Storage and Database Services

  1. Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.

  2. Choose a data storage service based on your requirements.

  3. Implement data storage services.

Module 6: Resource Management

  1. Describe the cloud resource manager hierarchy

  2. Recognize how quotas protect Google Cloud customers

  3. Organize resources using labels

  4. Explain the behavior of budget alerts in Google Cloud

  5. Examine billing data with BigQuery

Module 7: Resource Monitoring

  1. Describe the services for monitoring, logging, error reporting, tracing, and debugging

  2. Create charts, alerts, and uptime checks for resources with Cloud Monitoring

  3. Identify and fix errors using Cloud Debugger

Module 8: Interconnecting Networks

  1. Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.

  2. Determine which Google Cloud interconnect or peering service to use in specific circumstances.

  3. Create and configure VPN gateways.

  4. Recall when to use Shared VPC and when to use VPC Network Peering.

Module 9: Load Balancing and Autoscaling

  1. Recall the various load balancing services

  2. Determine which Google Cloud load balancer to use in specific circumstances

  3. Describe autoscaling behavior

  4. Configure load balancers and autoscaling

Module 10: Infrastructure Modernization

  1. Automate the deployment of Google Cloud services using Deployment Manager or Terraform.

  2. Outline the Google Cloud Marketplace.

Module 11: Managed Services

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

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