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Leveraging Cloud Computing for IoT

Leveraging Cloud Computing for IoT

1h 29mIntermediate2019-12-11

Authors

David Linthicum

David Linthicum

Chief Cloud Strategy Officer at Deloitte Consulting

Course details

The Internet of Things (IoT) and cloud-based providers are bound at the hip; however, most people don’t understand how, why, or what it all means. For anyone looking to move into the world of IoT and procure information about what's working (and what's not) in the relationship between IoT and various cloud providers, this course is a great place to start. Instructor David Linthicum provides an overview of what IoT is and explains how it's related to cloud computing. He also explores specific IoT-related tools, including those from AWS and Azure, and walks through the development of an IoT-based cloud solution.

Learning objectives
What's an IoT device?
Processing and storing IoT data
The history of IoT in the cloud
Use cases for IoT in the cloud
Creating IoT systems using AWS IoT
Working with Azure IoT Hub
Determining your requirements before building an application
Designing IoT systems for use on the cloud
Building and training the knowledge base
Figuring out the likely cost of IoT systems

Skills covered

Internet of ThingsCloud FoundationsHardwareCloud ComputingSoftware DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Intro to Internet of Things (IoT) on cloud platforms
  • 02 - What you should know

1. IoT Basics

  • 03 - What is an IoT device
  • 04 - IoT data
  • 05 - IoT data processing
  • 06 - IoT data storage at the edge and in the cloud
  • 07 - IoT growth in the cloud

2. IoT in the Cloud Use Cases

  • 08 - Healthcare
  • 09 - Finance
  • 10 - Law enforcement
  • 11 - Manufacturing
  • 12 - Education

3. Amazon Web Service IoT Platform

  • 13 - Design
  • 14 - Build
  • 15 - Deploy
  • 16 - Operate
  • 17 - Demo

4. Microsoft Azure IoT Hub

  • 18 - Design
  • 19 - Build
  • 20 - Deploy
  • 21 - Operate
  • 22 - Demo

5. IoT on the Cloud - Solutions Walkthrough

  • 23 - Requirement
  • 24 - Design
  • 25 - Build
  • 26 - Train
  • 27 - Deployment

6. Other Considerations

  • 28 - Performance
  • 29 - Cost
  • 30 - Operations
  • 31 - Security
  • 32 - Governance

Conclusion

  • 33 - Addional resources

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