An introduction to the important concepts and terminology for working with the Google Cloud Platform (GCP) products and services.
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. 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.
Jellyfish has recently been named a Google Cloud Specialisation Partner of the Year. This title recognises our commitment to provide world-leading Cloud-based Training solutions that help our clients succeed.
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 Core Infrastructure course is offered as a live Virtual Classroom or private training session. It can be delivered at our own training venue or any 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 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 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 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
1 day course
Supporting material
Google Cloud Partner of the Year
Private