Description

Type

Course

Methodology

Online

This 1 day instructor-led class provides an overview of Google Cloud Platform products and services. 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.
This class is intended for solutions developers, systems operations professionals, and solution architects planning to deploy applications and create application environments on Google Cloud Platform. This class is also suitable for executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.
At the end of this one-day course, participants will be able to:
Identify the purpose and value of each of the Google Cloud Platform products and services
Explain the difference between Iaas and PaaS
List the methods of interacting with Google Cloud Platform services
Describe ways in which customers have used Google Cloud Platform to improve their businesses
Understand how to choose an appropriate application deployment environment on Google Cloud Platform: Google App Engine, Google Container Engine, or Google Compute Engine
Deploy an application to: Google App Engine, Google Container Engine, and Google Compute Engine
Compare the Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
Deploy an application that uses Google Cloud Datastore and Google Cloud Storage to store data
Load data into BigQuery and query it

About this course

Requirements

None. Familiarity with application development, Linux operating systems, systems operations and data analytics/machine learning is helpful in understanding the technologies covered.

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Subjects

Networking
Options
SQL
Network
Firewall
Image
Web
Project
Planning
Systems
Network Training

Course programme

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, regions, and zones
Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)

Lab: Sign Up for the Free Trial and Create a Project

Register for the GCP free trial
Create a project using the Cloud Platform Console

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

Deploy a LAMP stack using Google Cloud Launcher

Module 3: Google App Engine and Google Cloud Datastore

Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore
Contrast the App Engine Standard environment with the App Engine Flexible environment
Understand the purpose of and use cases for Google Cloud Endpoints

Lab: Deploying Applications Using App Engine and Cloud Datastore

Deploy a sample Python application called Bookshelf to the App Engine standard runtime environment
Test the Bookshelf application and inspect data saved to Cloud Datastore

Module 4: Google Cloud Platform Storage Options

Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable
Learn how to choose between the various storage options on Google Cloud Platform

Lab: Integrating Applications with Google Cloud Storage

Create a Google Cloud Storage bucket to store images
Deploy an App Engine application that uses Cloud Storage
Use the Cloud Storage Browser to view objects

Module 5: Google Container Engine

Define the concept of a container and identify uses for containers
Identify the purpose of and use cases for Google Container Engine and Kubernetes

Lab: Deploying Applications Using Google Container Engine

Create a container cluster using the Cloud SDK
Build and push a Bookshelf image to Container Registry
Use kubectl to deploy the Bookshelf container

Module 6: Google Compute Engine and Networking

Identify the purpose of and use cases for Google Compute Engine
Understand the various Google Cloud Platform networking and operational tools and services

Lab: Deploying Applications Using Google Compute Engine

Create a Google Compute Engine instance
Deploy the Bookshelf application using a startup script
Add a firewall rule to allow HTTP traffic to the application

Module 7: Big Data and Machine Learning

Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms

Lab: Getting Started with BigQuery

Load a CSV file into a BigQuery table using the web UI
Query the data using the BigQuery web UI
Query the data using the CLI and the BigQuery shell

Additional information

8 hours (usually 1 day including breaks)

See related categories

CP100A: Google Cloud Platform Fundamentals Training Course

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CP100A: Google Cloud Platform Fundamentals Training Course

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Add similar coursesand compare them to help you choose.

Add similar courses
and compare them to help you choose.