1 – Introducing Google Cloud Platform
- Explain the advantages of Google Cloud Platform.
- Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones.
- Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).
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.
3 – Google Compute Engine and Networking
- Identify the purpose of and use cases for Google Compute Engine.
- Understand the basics of networking in Google Cloud Platform.
- Lab: Deploying Applications Using Google Compute Engine.
4 – Google Cloud Platform Storage Options
- Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable.
- Learn how to choose between the various storage options on Google Cloud Platform.
- Lab: Integrating Applications with Google Cloud Storage.
5 – Google Container Engine
- Define the concept of a container and identify uses for containers.
- Identify the purpose of and use cases for Google Container Engine and Kubernetes.
- Introduction to Hybrid and Multi-Cloud computing (Anthos).
- Lab: Deploying Applications Using Google Container Engine.
6 – Google App Engine and Google Cloud Datastore
- Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore.
- Contrast the App Engine Standard environment with the App Engine Flexible environment.
- Understand the purpose of and use cases for Google Cloud Endpoints.
- Lab: Deploying Applications Using App Engine and Cloud Datastore.
7 – Deployment and Monitoring
- Understand the purpose of template-based creation and management of resources.
- Understand the purpose of integrated monitoring, alerting, and debugging.
- Lab: Getting Started with Stackdriver and Deployment Manager.
8 – 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.
9 – Summary and Review
- Summary and Review.
- What’s Next?.
