Google Cloud Platform Fundamentals for AWS Professionals Training

Google Cloud Platform Fundamentals for AWS Professionals Certification Training Course Overview

Enroll for 1-day Google Cloud Platform Fundamentals for AWS Professionals training course from Koenig Solutions accredited by Google. Google Cloud Platform Fundamentals for AWS course is designed for the clients which introduces AWS Professional to the core capabilities of Google Cloud Platform. It would make you work on four technology pillars: networking, compute, storage, and database.

Through a blend of hands-on labs and interactive lectures, participants will get details of similarities, differences, and initial how-tos quickly.

 

Target Audience:

 

  • Candidate working as AWS Solution Architects just getting started with GCP.
  • Candidate working as AWS SysOps Administrators used to building IaaS solutions.
  • Candidate working as Architects and Engineers operating in multi-cloud environments.

 

Google Cloud Platform Fundamentals for AWS Professionals Training (Duration : 8 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training Date On Request
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
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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.

 

      After completing this course, you will learn how to:-

  • 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.

 

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