We provide course about Google Cloud Fundamentals: Core Infrastructure. This one-day instructor-led class provides an overview of Google Cloud Platform products and services.
Content:
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
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
Target 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