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Google Cloud Fundamentals: Core Infrastructure

  • Course Code GO8324
  • Duration 1 day

Course Delivery

Additional Payment Options

  • GTC 10 inc. VAT

    GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details

Public Classroom Price

eur690,00

excl. VAT

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

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Course Overview

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This one-day instructor-led Google Cloud Platform class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, you will learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Course Schedule

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    • Delivery Format: Virtual Learning
    • Date: 26 April, 2024

      Guaranteed  To Run

    • Location: Virtual
    • Ver: 5.0.1

    eur690,00

    • Delivery Format: Virtual Learning
    • Date: 28 June, 2024
    • Location: Virtual
    • Ver: 5.0.1

    eur690,00

    • Delivery Format: Virtual Learning
    • Date: 12 September, 2024
    • Location: Virtual
    • Ver: 5.0.1

    eur690,00

    • Delivery Format: Virtual Learning
    • Date: 07 November, 2024
    • Location: Virtual
    • Ver: 5.0.1

    eur690,00

    • Delivery Format: Virtual Learning
    • Date: 13 December, 2024
    • Location: Virtual
    • Ver: 5.0.1

    eur690,00

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Target Audience

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  • Solutions developers getting started with Google Cloud Platform
  • Solution architects getting started with Google Cloud Platform
  • Systems operations professionals getting started with Google Cloud Platform
  • Solution architects planning to deploy applications and create application environments on Google Cloud Platform
  • Executives and business decision-makers evaluating the potential of Google Cloud Platform to address their business needs
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Course Objectives

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In this course you will learn:

  • Purpose and value of Google Cloud Platform products and services
  • Interact with Google Cloud Platform services
  • Ways in which customers use Google Cloud Platform
  • Choose among and use application deployment environments on Google Cloud Platform:
  • Google App Engine, Google Container Engine, and Google Compute Engine
  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage,
  • Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Use BigQuery, Google’s managed data warehouse for analytics


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Course Content

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1. Introducing Google Cloud Platform

  • Explain the advantages of Google Cloud Platform
  • Define the components of Google's network infrastructure
  • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)

2. Getting Started with Google Cloud Platform

  • Identify the purpose of projects on Google Cloud Platform
  • Understand the purpose of and use cases for Identity and Access Management
  • List the methods of interacting with Google Cloud Platform

3. Google App Engine and Google Cloud Datastore

  • Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore
  • Contrast the App Engine Standard environment with the App Engine
  • Flexible environment
  • Understand the purpose of and use cases for Google Cloud Endpoints

4. Google Cloud Platform Storage Options

  • Understand the purpose of and use cases for: Google Cloud Storage,Google Cloud SQL and Google Cloud Bigtable
  • Learn how to choose between the various storage options on Google Cloud Platform

5. Google Container Engine

  • Define the concept of a container and identify uses for containers
  • Identify the purpose of and use cases for Google Container Engine and Kubernetes
  • Deploying Applications Using Google Container Engine

6. Google Compute Engine and Networking

  • Identify the purpose of and use cases for Google Compute Engine
  • Understand the various Google Cloud Platform networking and operational tools and services

7. Big Data and Machine Learning

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Course Prerequisites

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Familiarity with application development, Linux operating systems, systems operations, and data analytics/machine

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