Google Cloud Fundamentals: Core Infrastructure

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.
  

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
  

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