Architecting with Google Compute Engine Training

Architecting with Google Compute Engine Certification Training Course Overview

Enroll for 3-day Architecting with Google Compute Engine certification training course from Koenig Solutions. In this course, participants gain the skills to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine.

Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, together with infrastructure elements like as networks, systems, and application services. This Architecting with Google Compute Engine course conjointly covers deploying practical solutions together with firmly interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

What you will learn:

  • Compute Engine
  • Data Storage Services (Cloud Storage, Cloud SQL, Cloud Datastore)
  • Google App Engine
  • Google Kubernetes Engine
  • Networking and VPCs
  • Load Balancing
  • Logging, Monitoring, and Debugging
  • IAM
  • Managed Instance Groups
  • Deployment
  • Billing
  • Security

WHO SHOULD ATTEND

  • Cloud Solutions Architects
  • DevOps Engineers
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine.

 

This course prepares you for Exam Google Cloud Architect .

Architecting with Google Compute Engine Training (Duration : 24 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1450
02 - 04 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 08 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR) 1650
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Modules

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.
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Course Prerequisites
Completion of Google Cloud Platform Fundamentals or equivalent expertise Basic proficiency with command-line tools and Linux operating system environments Systems operations expertise, as well as deploying and managing applications, either on-premises or in a very public cloud setting

 

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