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Google Cloud Fundamentals: Core Infrastructure (GCF-CI)

Detailed Course Outline

Module 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)
  • Lab: Sign Up for the Free Trial and Create a Project

Module 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

Module 3: 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 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

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
  • Deploying Applications Using Google Container Engine

Module 6: Google Compute Engine and Networking

  • Identify the purpose of and use cases for Google Compute Engine
  • Understand the various Google Cloud Platform networking and operational tools and services
  • Lab: Deploying Applications Using Google Compute Engine

Module 7: 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