Course Outline
Module 1
Introducing Google Cloud
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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
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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.
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Lab: Getting Started with Cloud Marketplace.
Module 3
Virtual Machines in the Cloud
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Identify the purpose of and use cases for Google Compute Engine.
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Understand the basics of networking in Google Cloud
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Lab: Getting Started with Compute Engine
Module 4
Storage in the Cloud
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Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
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Learn how to choose between the various storage options on Google Cloud.
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Lab: Getting Started with 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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Introduction to Hybrid and Multi-Cloud computing (Anthos)
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Lab: Getting Started with Kubernetes Engine
Module 6
Applications in the Cloud
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Understand the purpose of and use cases for 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 Cloud Endpoints.
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Lab: Getting Started with App Engine
Module 7
Containers in the Cloud
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Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud
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Understand the purpose of integrated monitoring, alerting, and debugging
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Lab: Getting Started with Deployment Manager and Cloud Monitoring
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: Getting Started with BigQuery