Architecting with Google Compute Engine 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 is a Rare Course and it can be take up to 3 weeks to arrange the training.

  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

Your will learn:

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
  • Outline the Google Cloud Marketplace.
  • Describe the managed services for data processing in Google Cloud.
Live Online Training (Duration : 24 Hours) Fee On Request
Group Training
20 - 22 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Classroom Training is available. Enquire for the fee Click
Ultra-Fast Track

If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours

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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FAQ's


Yes, fee excludes local taxes.
The Fee includes:
  • Courseware
Yes, Koenig Solutions is a Google Learning Partner