Module 1: Introducing Google Cloud Platform

• How to use Docker, Compose and Kubernetes on your machine for better software building and testing.
• Explain the advantages of Google Cloud Platform.
• Define the components of Google’s network infrastructure, including Points of presence, data centres, 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