COURSE OVERVIEW

  • icon3 day course
  • iconPartner of the Year
  • iconVirtual, Private
    info-icon
  • icon Certificate of Attendance

As an authorized Google Cloud Training Partner, we’ve been selected by Google to facilitate the delivery of this three-day Compute Engine course.

Our expert trainers will combine practical labs with presentations and demos to familiarize you with Google Cloud’s flexible infrastructure and help you gain the skills you need to reach your business goals.

Over three days, you’ll explore and deploy practical solutions including secure network interconnection, scalable compute instances, load balancers, customer-supplied encryption keys, security, and access management, quotas and billing, and resource monitoring.

Our Architecting with Google Compute Engine course is delivered via Virtual Classroom. We also offer it as a private training session that can be delivered virtually or at a location of your choice in the US.

What you’ll learn

By the end of this course, you will be able to:

  • Check small.svgConfigure VPC networks and virtual machines
  • Check small.svgImplement data storage services in Google Cloud
  • Check small.svgMonitor resources using Google Cloud services
  • Check small.svgConfigure load balancers and autoscaling for VM instances
  • Check small.svgLeverage managed services in Google Cloud
  • Check small.svgAdminister Identity and Access Management for resources
  • Check small.svgManage and examine billing of Google Cloud resources
  • Check small.svgConnect your infrastructure to Google Cloud
  • Check small.svgAutomate the deployment of Google Cloud infrastructure services

Course agenda

Module 1: Introduction to Google Cloud

  • List the different ways of interacting with Google Cloud
  • Use the Google 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
  • Design a maintenance server

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: Identity & 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

Module 5: Storage & 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 Cloud Operations Suite services for monitoring, logging, error reporting, tracing, profiling and debugging
  • Create charts, alerts, and uptime checks for resources with CloudMonitoring
  • 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 & 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 Automation

  • 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

Who should attend:

This intermediate-level course is suitable for:

  • 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

Prerequisites

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

  • Completed the Google Cloud Fundamentals: Core Infrastructure course or have equivalent experience
  • Basic proficiency with command-line tools and Linux operating system environments

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