1 – Introduction to Google Cloud Platform
- Explain the benefits of Google Cloud Platform.
- Define the components of Google’s network infrastructure, including: points of presence, data centres, 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 in Google Cloud Platform.
- Understand the purpose and use cases of Identity and Access Management.
- List the methods for interacting with Google Cloud Platform.
- Lab: Getting started with Google Cloud Platform.
3 – Google Compute Engine and Networks
- Identify the purpose and use cases of Google Compute Engine.
- Understand the basics of networking in Google Cloud Platform.
- Lab: Deploying applications with Google Compute Engine.
4 – Google Cloud Platform Storage Options
- Understand the purpose and use cases of: Google Cloud Storage, Google Cloud SQL and Google Cloud Bigtable.
- Choose between the various Google Cloud Platform storage options.
- Lab: Integrating applications with Google Cloud Storage.
5 – Google Kubernetes Engine
- Define the container concept and identify use cases for containers.
- Identify the purpose and use cases of Google Kubernetes Engine (GKE) and Kubernetes.
- Introduction to hybrid and multi-cloud computing.
- Lab: Deploying applications with Google Kubernetes Engine.
6 – Google App Engine and Firestore in Datastore Mode
- Understand the purpose and use cases of Google App Engine and Firestore in Datastore mode.
- Compare the App Engine standard environment and the flexible App Engine environment.
- Understand the purpose and use cases of Google Cloud Endpoints.
- Lab: Deploying applications with App Engine and Firestore in Datastore mode.
7 – Deployment and Monitoring
- Understand the purpose of template-based resource creation and management.
- Understand the purpose of integrated monitoring, alerting and troubleshooting.
- Lab: Getting started with Google Cloud Observability (formerly Stackdriver).
8 – Big Data and Machine Learning
- Understand the purpose and use cases of Google Cloud’s big data and machine learning products and services.
- Lab: Getting started with BigQuery.
9 – Summary and Review
- Summary and review.
- What’s next?
