Course Outline
Module 1
Introducing Google Cloud Platform
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Explain the advantages of Google Cloud Platform.
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Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
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Understand the difference between Infrastructure-as-a- Service (IaaS) and Platform-as-a-Service (PaaS).
Module 2
Getting Started with Google Cloud Platform
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Identify the purpose of projects on Google Cloud Platform.
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Understand the purpose of and use cases for Identity and Access Management.
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List the methods of interacting with Google Cloud Platform.
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Lab: Getting Started with Google Cloud Platform.
Module 3
Virtual Machines and Networks in the Cloud
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Identify the purpose of and use cases for Google Compute Engine.
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Understand the various Google Cloud Platform networking and operational tools and services.
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Lab: Compute Engine
Module 4
Storage in the Cloud
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Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
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Learn how to choose between the various storage options on Google Cloud Platform.
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Lab: Cloud Storage and Cloud SQL
Module 5
Containers in the Cloud
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Define the concept of a container and identify uses for containers.
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Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
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Lab: Kubernetes Engine
Module 6
Applications in the Cloud
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Understand the purpose of and use cases for Google App Engine.
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Contrast the App Engine Standard environment with the App Engine Flexible environment.
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Understand the purpose of and use cases for Google Cloud Endpoints.
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Lab: App Engine
Module 7
Developing, Deploying, and Monitoring in the Cloud
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Understand options for software developers to host their source code.
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Understand the purpose of template-based creation and management of resources.
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Understand the purpose of integrated monitoring, alerting, and debugging.
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Lab: Deployment Manager and Stackdriver
Module 8
Big Data and Machine Learning in the Cloud
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Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
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Lab: BigQuery