Google Cloud Platform Course Course Overview

Google Cloud Platform Course Course Overview

Retired Course - Click the button below to access the latest updated version of this course.

Google Cloud Platform gives your applications the equivalent hearty establishment behind administrations like Google search and Gmail. This course will give a diagram of the stage and a system for plunging further.

Audience:

This Google Cloud Platform accreditation instructional class is a basic necessity for experts who need to see how to convey applications and make application situations on the Google Cloud Platform and influence its adaptability. This course is most appropriate for:

  • Solutions engineers
  • Systems tasks experts
  • Solution modelers
  • Executives and other key chiefs

 

 

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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When you have finished the Google Cloud Platform Course, you will learn following topics:

  • Identify the reason and estimation of every one of the Google Cloud Platform items and administrations
  • Explain the contrast between Infrastructure as a Service (IaaS) and Platform as a Service (PaaS)
  • List the strategies for associating with Google Cloud Platform administrations
  • Describe manners by which clients have utilized Google Cloud Platform to improve their organizations
  • Understand how to pick a proper application sending condition on the Google Cloud Platform, including Google App Engine, Google Container Engine and Google Compute Engine
  • Deploy an application to Google App Engine, Google Container Engine, and Google Compute Engine
  • Compare Google Cloud Platform stockpiling alternatives, including Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable and Google Cloud Datastore
  • Deploy an application that utilizations Google Cloud Datastore and Google Cloud Storage to store information
  • Load information into BigQuery and question it

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