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Google Cloud Fundamentals: Core Infrastructure

Gain an overview of the Google Cloud Platform (GCP) products and services on this one-day course.
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1 day course
Supporting material
Classroom, Virtual, Private
Classroom
Face to face, interactive classroom training run from our global training centres.
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
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. Our trainers work with the GCP on a daily basis and as a Google Cloud Partner you can 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 Platform 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 at our training centre in The Shard, London. We also offer private training at a location of your choice or via Virtual Classroom.

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 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
Walk away with the ability to:
  • Identify the purpose and value of 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 syste
Prerequisites
To get the most of 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 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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