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LinkedIn Learning

IoT Foundations: Operating System Applications

via LinkedIn Learning

Overview

Build apps for the Internet of Things using an OS-based approach. Learn to hand off tasks such as interoperability and security to the OS and free up time to develop features.

Syllabus

Introduction
  • Welcome
  • What you should know
1. Overview
  • IoT applications from the OS perspective
  • Key application components
  • Workflow of building an IoT application
2. Sensing and Actuation
  • Overview of sensing and actuation
  • Use a temperature sensor
  • Use a biosensor for healthcare apps
  • Use pulse-width modulation (PWM) signals for motor control
3. Data Management and Processing
  • Overview of data management and processing
  • Manage sensing data
  • Process sensing data
4. Data Transmissions
  • Overview of data transmissions
  • Use TCP/IP stacks for data transfer
  • Use Bluetooth for data transfer
  • Use cellular for data transfer
5. Interoperability
  • Overview of interoperability
  • Use Thread for interoperability
  • Use IoTivity for interoperability
6. Edge Computing
  • Overview of edge computing
  • Enable edge computing on IoT gateways
7. Cloud Computing
  • Overview of cloud computing
  • Connect to Microsoft Azure
8. Device Management
  • Device management overview
  • Update firmware over the air
9. Security
  • Device-level security
  • Secure application data
  • Secure data transfers
10. Artificial Intelligence and Machine Learning
  • Intelligence and math processing
  • Use a machine learning algorithm
  • Enable AI with cloud services
Conclusion
  • Next steps

Taught by

Ryan Hu

Reviews

4.6 rating at LinkedIn Learning based on 62 ratings

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