CONTENUTI:

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 Google Cloud.

 

Module 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.

 

Lab: Getting Started with Google Compute Engine.

 

Module 4: Google Cloud 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.

 

Lab: Getting Started with Cloud Storage and Cloud SQL.

 

Module 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.

 

Module 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.

 

Module 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.

 

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?.