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).
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Lab: Sign Up for the Free Trial and Create a Project.
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: Google App Engine and Google Cloud Datastore
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Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore.
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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: Deploying Applications Using App Engine and Cloud Datastore.
Module 4: Google Cloud Platform Storage Options
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Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable.
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Learn how to choose between the various storage options on Google Cloud Platform.
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Lab: Integrating Applications with Google Cloud Storage.
Module 5: Google Container Engine
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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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Deploying Applications Using Google Container Engine.
Module 6: Google Compute Engine and Networking
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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: Deploying Applications Using Google Compute Engine.
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 BigQuery.