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)
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.
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 .
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.
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 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 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 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 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 Big Query.
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.