Architecting with Google Compute Engine Training
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Architecting with Google Compute Engine

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Master Google Compute Engine with this comprehensive training. Learn to design, deploy, and manage scalable and secure cloud solutions using Google Cloud's infrastructure.

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Overview

The Architecting with Google Compute Engine Training equips you with the skills needed to design and implement secure, high-performance, and cost-effective solutions on Google Cloud. This course covers key concepts such as virtual machines, networking, storage, security, and automation using Compute Engine. Through hands-on labs, practical use cases, and expert-led instruction, you’ll gain the confidence to architect and manage robust cloud infrastructure tailored to business needs. Perfect for aspiring cloud architects and engineers aiming to enhance their skills and career opportunities.

Key Features

  • Advanced Networking
  • Comprehensive Curriculum
  • Expert Instruction
  • Infrastructure Automation

Curriculum

Study Plan

1Module 1: Introduction to Google Cloud 
  • List the different ways of interacting with Google Cloud
  • Interact with the Google Cloud console and Cloud Shell
  • Create Cloud Storage buckets 
  • Deploy solutions using Google Cloud Marketplace
2Module 2: Virtual Networks
  • List the VPC objects in Google Cloud 
  • Explore VPC Networking
  • Implement Private Google Access and Cloud NAT 
3Module 3: Virtual Machines
  • Recall the CPU and memory options for virtual machines 
  • Describe the disk options for virtual machines 
  • Explain VM pricing and discounts 
  • Create and customize VM instances using Compute Engine 
4Module 4: Identity and Access Management (IAM)
  • Describe the IAM resource hierarchy 
  • Explain the different types of IAM roles 
  • Recall the different types of IAM members 
  • Implement access control for resources using IAM
5Module 5: Storage and Database Services
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable 
  • Choose a data storage service based on your requirements 
  • Implement data storage services 
6Module 6: Resource Management
  • Describe the cloud resource manager hierarchy 
  • Recognize how quotas protect Google Cloud customers 
  • Organize resources using labels
  • Explain the behavior of budget alerts in Google Cloud 
  • Examine billing data with BigQuery
7Module 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 
  • Identify and fix errors using Cloud Debugger 
8Module 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 Google Cloud HA VPN 
  • Recall when to use Shared VPC and when to use VPC Network Peering
9Module 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 
10Module 10: 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 

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