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Categories Google Cloud Your Gateway to Google Cloud Platform

Google Cloud Platform Fundamentals: Core Infrastructure

Google Training

Course #:GCP-100
Duration: 1 Day
Price: 595.00 USD
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Material: LearnGreen (pdf)

IT Management, Business

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Philadelphia PA (2388 mi)
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15-Sep
9AM - 5AM
595.00 USD
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595.00 USD
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23-Sep
10AM - 6PM
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595.00 USD
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6-Oct
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Course Description

This Google Cloud Platform Fundamentals Core Infrastructure course is designed to provide students with an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
 

Objectives

The Google Cloud Platform Fundamentals Core Infrastructure 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 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
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics

Audience

The Google Cloud Platform Fundamentals Core Infrastructure course is intended for:
  • 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.

Prerequisites

  • Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.

Topics

  • Introducing Google Cloud
    • Explain the advantages of Google Cloud Platform
    • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
    • Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS).
    • Lab: Sign Up for the Free Trial and Create a Project.
  • 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.
    • Lab: Getting Started with Google Cloud Platform.
  • 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.
    • Lab: Deploying Applications Using App Engine and Cloud Datastore.
  • 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.
    • Lab: Integrating Applications with Google Cloud Storage.
  • 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.
  • 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.
    • Lab: Deploying Applications Using Google Compute Engine.
  • Big Data and Machine Learning
    • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
    • Lab: Getting Started with BigQuery.
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