Google Cloud for AWS Professionals

Google Cloud for AWS Professionals Certification Training Course Overview

Enrol for this 1-day course from Koenig Solutions. This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database.

It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

Target Audience:

  • AWS Solution Architects just getting started with Google Cloud Platform
  • AWS SysOps Administrators used to build IaaS solutions
  • Architects and Engineers operating in multi-cloud environments

Learning Objectives:

  • Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences
  • Locate documentation and training

 

Google Cloud for AWS Professionals (8 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training
02 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

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

1-on-1 Training (GTR)
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 Prerequisites
  • Basic proficiency with networking technologies like subnets and routing
  • Experience with Amazon VPC, Amazon EC2 instances, and disks
  • Familiarity with Amazon S3 and AWS database technologies

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