Content

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Introducing Google Cloud

• Explain the advantages of Google Cloud.
• 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).

Module 2: Getting Started with Google Cloud

• Identify the purpose of projects on Google Cloud.
• Understand the purpose of and use cases for Identity and Access Management.
• List the methods of interacting with Google Cloud.
• Lab: Getting Started with Cloud Marketplace.

Module 3: Virtual Machines in the Cloud

• Identify the purpose of and use cases for Google Compute Engine.
• Understand the basics of networking in Google Cloud.
• Lab: Getting Started with Google Compute Engine.

Module 4: Storage in the Cloud

• Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
• Learn how to choose between the various storage options on Google Cloud.
• Lab: Getting Started with Cloud Storage and Cloud SQL.

Module 5: Containers in the Cloud

• Define the concept of a container and identify uses for containers.
• Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
• Introduction to Hybrid and Multi-Cloud computing (Anthos).
• Lab: Getting Started with Kubernetes Engine.

Module 6: Applications in the Cloud

• Understand the purpose of and use cases for App Engine.
• Contrast the App Engine standard environment with the App Engine flexible environment.
• Understand the purpose of and use cases for Cloud Endpoints.

• Lab: Getting Started with App Engine.

Module 7: Containers in the Cloud

• Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
• Understand the purpose of integrated monitoring, alerting, and debugging.
• Lab: Getting Started with Deployment Manager and Cloud Monitoring.

Module 8: Big Data and Machine Learning in the Cloud

• 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.

Module 9: Summary and Review

• Summary and Review.
• What’s Next?