Google Cloud Platform Fundamentals (CP100A)

4 April Online Training

More information about this course here.

This in an online training. One week before the course starts, you will receive an email with all the information you need to attend the class.


Overview

This 1 day instructor-led class introduces participants to Google Cloud Platform products and services. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Audience

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.

Prerequisites

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

Duration

1 day (8 hours)

Delivery Method

Instructor-led online

Language

Spanish

For this class, you will need:

A laptop (Windows, Mac OS or Linux)

Credit Card - you won't be billed but this is needed to sign up for the free trial

___ MODULES

Module 1: Introducing Google Cloud Platform

Learning Objectives

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) 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

Learning Objectives

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

Learning Objectives

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

Learning Objectives

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

Learning Objectives

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

Learning Objectives

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

Learning Objectives

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

Created 1 year ago by Extrema Sistemas