Architecting with Google Compute Engine - Course Overview

This course familiarizes you with Google Cloud’s infrastructure and platform services, focusing specifically on Compute Engine. Through lectures, demos, and hands-on labs, you will explore and deploy solution elements—including networks, systems, and application services. You will also learn to implement practical solutions such as hybrid networking, customer-supplied encryption keys, and resource monitoring.

 

After completing Google Architecting with Google Compute Engine, students will be able to

  • Configure VPC networks and firewall rules to secure cloud resources.
  • Create and customize VM instances using Compute Engine.
  • Manage Identity and Access Management (IAM) for granular resource control.
  • Implement and manage various data storage services in Google Cloud.
  • Connect on-premises infrastructure to Google Cloud via VPN and Interconnect.
  • Configure load balancers and autoscaling to handle fluctuating traffic.
  • Automate infrastructure deployment using Terraform.
  • Monitor and manage the billing and health of cloud resources.

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Key Features of Architecting with Google Compute Engine

  • Compute Engine Deep Dive: Extensive focus on creating, customizing, and managing Virtual Machine (VM) instances.

  • Hands-on Intensive: Includes 11 modules and multiple labs covering everything from VPC configuration to infrastructure automation.

  • Advanced Networking: Detailed modules on interconnecting networks (VPN, Peering, Interconnect) and Load Balancing.

  • Infrastructure as Code (IaC): Practical experience using Terraform to automate Google Cloud service deployments.

  • Comprehensive Ops Coverage: Includes identity management (IAM), resource monitoring, and billing management.

Who can take up a Google Associate Cloud Engineer Certification Training?

  • Cloud Architects
  • Site Reliability Engineers
  • Systems Administrators responsible for managing Google Cloud infrastructure.

Prerequisites of Architecting with Google Compute Engine

Prior knowledge gained through the following courses will be beneficial:

Salient Google Cloud Associate Engineer Certification Training Benefits

  • Learn the fundamentals: The training covers the fundamentals of Google Cloud Platform (GCP), including cloud computing concepts, GCP services, and pricing
  • Gain hands-on experience: The training includes hands-on labs and projects that allow you to gain practical experience with GCP services such as Compute Engine, Kubernetes Engine, and Cloud Storage.
  • Prepare for the exam: Google cloud associate training prepares you for the Associate Cloud Engineer Certificate exam, which validates your knowledge of GCP services, concepts, and best practices.
  • Improve your career prospects: Achieving the Associate Cloud Engineer Certificate can improve your career prospects by demonstrating your knowledge and expertise in GCP.
  • Join a growing community: Google Cloud Platform is one of the fastest-growing cloud platforms, and the Associate Cloud Engineer Certificate is in high demand. Becoming certified allows you to join a growing community of professionals with similar skills and interests.
  • Get recognition from Google: The Associate Cloud Engineer Certificate is recognized by Google and demonstrates your proficiency in GCP.
  • Access to resources: As a certified Associate Cloud Engineer, you gain access to resources such as online communities, events, and exclusive job listings.
  • Enhance your skills: The training and certification process enhances your skills in cloud computing and GCP services, making you more marketable and in-demand.
  • Stay up-to-date: The training and certification process requires you to stay up-to-date with the latest GCP services and best practices, ensuring that your skills remain current and relevant.
  • Expand your network: The training and certification process provides opportunities to connect with other professionals in the field, expand your network, and collaborate on projects.

GCP Associate Cloud Engineer Certification Roadmap

  • Start with the basics: Begin by learning the basics of cloud computing, including cloud concepts, infrastructure, and deployment models.
  • Learn about GCP services: Next, learn about the GCP services covered in the Associate Cloud Engineer Certification exam, such as Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud IAM.
  • Gain hands-on experience: Use hands-on labs and projects to gain practical experience with GCP services, such as deploying applications on Compute Engine, creating and managing Kubernetes clusters, and setting up and managing Cloud Storage.
  • Study for the exam: Use study materials and practice exams to prepare for the Associate Cloud Engineer Certification exam, which tests your knowledge of GCP services, concepts, and best practices.
  • Take the exam: Schedule and take the Associate Cloud Engineer Certification exam, which is a timed, multiple-choice exam that assesses your ability to deploy and manage GCP services.
  • Achieve certification: Upon passing the exam, you will earn the Associate Cloud Engineer Certificate, which demonstrates your knowledge and expertise in GCP.
  • Keep up-to-date: As technology changes and new GCP services are released, it is important to stay up-to-date with the latest developments. Utilise options for continuing education and certification to keep your knowledge up to date and applicable.

Download Course Outline

Lecture Content

  • Platform overview and interaction tools
  • Interacting with the Google Cloud console and Cloud Shell
  • Deploying solutions using Google Cloud Marketplace

Learning Objectives

  • Interact with the Google Cloud console and Cloud Shell
  • Deploy solutions using Google Cloud Marketplace

Lab Content

  • Module quiz

Lecture Content

  • VPC, firewalls, and networking basics
  • Implementing VPC networks and firewall rules

Learning Objectives

  • Implement VPC networks and firewall rules

Lab Content

  • Module quiz

Lecture Content

  • Compute Engine instances and customization
  • Creating and customizing VM instances using Compute Engine

Learning Objectives

  • Create and customize VM instances using Compute Engine

Lab Content

  • Module quiz

Lecture Content

  • Resource hierarchy and roles
  • Administering Identity and Access Management for resources

Learning Objectives

  • Administer Identity and Access Management for resources

Lab Content

  • Module quiz

Lecture Content

  • Cloud Storage, Cloud SQL, and specialized databases
  • Implementing data storage services in Google Cloud

Learning Objectives

  • Implement data storage services in Google Cloud

Lab Content

  • Module quiz

Lecture Content

  • Quotas, labels, and billing
  • Managing and examining billing of Google Cloud resources

Learning Objectives

  • Manage and examine billing of Google Cloud resources

Lab Content

  • Module quiz

Lecture Content

  • Cloud Monitoring and logs
  • Monitoring resources using Google Cloud services
  • Debugger capabilities

Learning Objectives

  • Monitor resources using Google Cloud services

Lab Content

  • Module quiz

Lecture Content

  • HA VPN, Peering, and Interconnect
  • Google Cloud interconnect and peering services available to connect infrastructure
  • When to use Shared VPC and when to use VPC Network Peeringc

Learning Objectives

  • 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 Google Cloud HA VPN
  • Recall when to use Shared VPC and when to use VPC Network Peering

Lab Content

  • Lab: Virtual Private Networks (VPN)
  • Module quiz

Lecture Content

  • HTTP/Internal load balancers
  • Various load balancing services
  • Autoscaling behavior description

Learning Objectives

  • 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

Lab Content

  • Lab: ILT Configure an HTTP Load Balancer with Autoscaling
  • Lab: Configuring an Internal Load Balancer
  • Module quiz

Lecture Content

  • Terraform and Cloud Marketplace
  • Automating the deployment of Google Cloud infrastructure services
  • Google Cloud Marketplace outlines

Learning Objectives

  • Automate the deployment of Google Cloud services using Terraform
  • Outline the Google Cloud Marketplace

Lab Content

  • Lab: Automating the Deployment of Infrastructure Using Terraform
  • Module quiz

Lecture Content

  • Overview of managed data processing services
  • Leveraging managed services in Google Cloud

Learning Objectives

  • Describe the managed services for data processing in Google Cloud

Lab Content

  • Module quiz

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Course ID: 13595

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FAQs for Architecting with Google Compute Engine

It is a 3-day course when delivered as Instructor-led training.

Yes, Module 10 is dedicated to automating infrastructure with Terraform.

Yes, including VPCs, Firewalls, VPNs, and Load Balancing.

It is "Intermediate" and assumes basic cloud and networking knowledge.

This course focuses on Virtual Machines (Compute Engine), while the GKE course focuses on containers

Yes, it is available in both Instructor-led and On-demand formats.

Yes, Module 06 covers quotas and managing Google Cloud resource billing.

Yes, several hands-on labs are included to reinforce the lectures.

Yes, Module 08 covers connecting on-premises infrastructure to Google Cloud.

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