Course Outline

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.

  • Lab: BigQuery