GO8324 | Google Cloud Fundamentals: Core Infrastructure | Training Course | Google Skip to main Content

Google Cloud Fundamentals: Core Infrastructure

  • Código del Curso GO8324
  • Duración 1 Día

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Método de Impartición

Este curso está disponible en los siguientes formatos:

  • Clase de calendario

    Aprendizaje tradicional en el aula

  • Aprendizaje Virtual

    Aprendizaje virtual

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

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Parte superior

This class is intended for the following profiles:

  • People who plan to deploy applications and build application environments on the Google Cloud .
  • Developers, system operations professionals, and solution architects who are starting to work with the Google Cloud .
  • Executives and business decision makers who are evaluating the potential of the Google Cloud to meet their business needs.

 


 

Objetivos del Curso

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This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud products and services.
  • Interact with Google Cloud services
  • Describe the ways in which customers have used the Google Cloud
  • Choose from and use Google Cloud Platform application deployment environments: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Choose from and use Google Cloud 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 analysis.
  • 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 diagnostic system.


 

Module 1: Introducing the Google Cloud

  • Explain the advantages of the Google Cloud .
  • 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).

Module 2: Introduction to the Google Cloud

  • Identify the purpose of projects on the Google Cloud .
  • Understand the purpose and use cases of identity and access management.
  • List the methods of interaction with the Google Cloud .
  • Lab: Introduction to the Google Cloud .
     

Module 3: Virtual Machines and Cloud Networks

  • Identify the purpose and use cases of Google Compute Engine.
  • Understand the various operational and network tools and services of the Google Cloud .
  • Lab: Compute Engine


Module 4: Cloud Storage

  • Understand the purpose of cases and use them to: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable and Google Cloud Datastore.
  • Learn how to choose between the different storage options in the Google Cloud .
  • Lab: Cloud storage and cloud SQL

Module 5: Cloud Containers

  • Define the concept of container and identify the uses of containers.
  • Identify the purpose and use cases of Google Kubernetes Engine and Kubernetes.
  • Lab: Kubernetes Engine

Module 6: Cloud Applications

  • Understand the purpose and use cases of Google App Engine.
  • Contrast the Standard App Engine environment with the Flexible App Engine environment.
  • Understand the purpose and use cases of Google Cloud Endpoints.
  • Lab: Application engine

Module 7: Development, Implementation and Monitoring in the Cloud

  • Understand the options software developers have for hosting their source code.
  • Understand the purpose of template-based resource creation and management
  • Understand the purpose of integrated monitoring, alerting and debugging.
  • Lab: Deployment Manager and Stackdriver

Module 8: Great data and machine learning in the cloud

  • Understand the purpose and use cases of products and services on large data learning platforms and Google Cloud machines.
  • Lab: BigQuery

Pre-requisitos

Parte superior

Familiarity with the Linux command line, web servers and text editors

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