Course Outline

Module 1

Introducing Google Cloud

  • 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).

Module 2

Getting Started with Google Cloud

  • 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.

  • 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 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