Google Cloud Fundamentals: Core Infrastructure(Formerly CP100A)
This one-day instructor-led class provides an overview of Google Cloud
Platform products and services. Through a combination of presentations
and hands-on labs, participants learn the value of Google Cloud
Platform and how to incorporate cloud-based solutions into business
strategies.
Objectives
This course teaches participants the following skills:
* Identify the purpose and value of each of the 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
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.
Prerequisites
Familiarity with Linux command line, web servers, and text editors.
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COURSE OUTLINE
Module 1: Introducing Google Cloud Platform
* 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)
MODULE 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
* Lab: Getting Started with Google Cloud Platform
MODULE 3: VIRTUAL MACHINES AND NETWORKS IN THE CLOUD
* Identify the purpose of and use cases for Google Compute Engine.
* Understand the various Google Cloud Platform networking and
operational tools and services.
* Lab: Compute Engine
MODULE 4: STORAGE IN THE CLOUD
* Understand the purpose of and use cases for: Google Cloud Storage,
Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
* Learn how to choose between the various storage options on Google
Cloud Platform.
* Lab: Cloud Storage and Cloud SQL
MODULE 5: CONTAINERS IN THE CLOUD
* Define the concept of a container and identify uses for
containers.
* Identify the purpose of and use cases for Google Kubernetes Engine
and Kubernetes.
* Lab: Kubernetes Engine
MODULE 6: APPLICATIONS IN THE CLOUD
* Understand the purpose of and use cases for Google App Engine.
* Contrast the App Engine Standard environment with the App Engine
Flexible environment.
* Understand the purpose of and use cases for Google Cloud
Endpoints.
* Lab: App Engine
MODULE 7: DEVELOPING, DEPLOYING, AND MONITORING IN THE CLOUD
* Understand options for software developers to host their source
code.
* Understand the purpose of template-based creation and management
of resources.
* Understand the purpose of integrated monitoring, alerting, and
debugging.
* Lab: Deployment Manager and Stackdriver
MODULE 8: BIG DATA AND MACHINE LEARNING IN THE CLOUD
* Understand the purpose of and use cases for the products and
services in the Google Cloud big data and machine learning platforms.
* Lab: BigQuery
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21/08/2018 Last update