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Google Cloud Fundamentals: Core Infrastructure

An introduction to the important concepts and terminology for working with Google Cloud products and services.
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1 day course
Supporting material
Google Cloud Partner of the Year
Private
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Jellyfish has been selected by Google to facilitate the delivery of this one-day fundamentals course. We're a Google Cloud Specialisation Partner and our trainers work with the GCP on a daily basis, so you'll be able to benefit from the years of industry experience they’ll share with you.

Through a combination of presentations, demos, and hands-on labs, we will discuss the value of Google Cloud and how to incorporate cloud-based solutions into business strategies. You'll gain basic knowledge of BigQuery, Cloud Development Manager and Google Stackdriver.

This Google Cloud Fundamentals: Core Infrastructure course is part of the Professional Cloud Architect track and is available as a private training session that can be delivered at a location of your choice.

Course overview
Who should attend:
This course is intended for the following participants:
  • Individuals planning to deploy applications and create application environments on Google Cloud
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud
  • Executives and business decision makers evaluating the potential of Google Cloud to address their business needs
Walk away with the ability to:
  • Identify the purpose and value of Google Cloud products and services
  • Interact with Google Cloud services
  • Describe ways in which customers have used Google Cloud
  • Choose among and use application deployment environments on Google Cloud: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Choose among 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 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
Prerequisites
To get the most out of this course, you should have familiarity with the Linux command line, web servers, and text editors.
Course agenda
Module 1: Introducing Google Cloud
  • Explain the advantages of 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: Getting Started with Google Cloud
  • Identify the purpose of projects on Google Cloud
  • Understand the purpose of and use cases for Identity and Access Management
  • List the methods of interacting with Google Cloud
  • Lab: Getting Started with Google Cloud
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 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
  • 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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