Google Cloud Fundamentals: Core Infrastructure
Course Outline
The course includes presentations, demonstrations and hands-on labs.
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 Container Engine and Kubernetes.
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Lab: Container 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