Google Cloud Fundamentals: Core Infrastructure

Name: Google Cloud Fundamentals: Core Infrastructure
Price: 35000.00 KRW

An introduction to the important concepts and terminology for working with Google Cloud products and services.

1 day course

Supporting material

Google Cloud Partner of the Year

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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