Google Collection: Google Cloud Platform Fundamentals - Core Infrastructure

About this Course

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

What You’ll Learn

  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Describe ways in which customers have used Google Cloud Platform
  • Identify the purpose and value of Google Cloud Platform products and services
  • Interact with Google Cloud Platform services
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system

Skills You’ll Gain

  • Google Compute Engine
  • Google App Engine (GAE)
  • Google Cloud Platform
  • Cloud Computing

Syllabus 

Module 1: Introducing Google Cloud Platform

Module 2: Getting Started with Google Cloud Platform

Module 3: Virtual Machines in the Cloud

Module 4: Storage in the Cloud

Module 5: Containers in the Cloud 

Module 6: Applications in the Cloud

Module 7: Developing, Deploying and Monitoring in the Cloud

Module 8: Big Data and Machine Learning in the Cloud

Approximate Completion Time: 13 hours to complete (Suggested: 1 week of study; 6-10 hours per week). Enroll now for free on Coursera

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