Google Cloud Fundamentals: Core Infrastructure

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Duration: 1 Day
Training Fee: HK$6,500
Private in-house training
Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.
Course Objectives

This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud Platform products and services
  • Interact with Google Cloud Platform services
  • Describe ways in which customers have used Google Cloud Platform
  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes 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
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system
Prerequisites

To get the most out of this course, participants should have:

  • Familiarity with the Linux command line, web servers, and text editors.
Intended Audience

This class is intended for the following:

  • Individuals planning to deploy applications and create application environments on Google Cloud Platform.
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.
  • Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.
Delivery Method
  • Instructor-led, instructor-led online
Course Outline

The course includes presentations, demonstrations, and hands-on labs.

 

Module 1: Introducing Google Cloud Platform
Module 2: Getting Started with Google Cloud Platform
Module 3: Virtual Machines and Networks in the Cloud
Module 4: Storage in the Cloud
Module 5: Containers in the Cloud
Module 6: Applications in the Cloud
Module 7: Developing, Deploying, and Monitoring in the Cloud
Module 8: Big Data and Machine Learning in the Cloud

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