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Institute of Technical Education
Electronics & Info-Comm Technology

IoT Applications

More information about the IoT Applications module.

Unlock the future with Internet of Things (IoT)

The Internet of Things (IoT) connects everyday objects to share data, making our world smarter. This module offers students a comprehensive learning experience in IoT applications, starting from the fundamental principles of hardware, networks, and cloud data. 

Create and control with your own IoT project

You will work on a hands-on project where you duse Artificial Intelligence (AI) tools to significantly accelerate IoT application development. This means you can set up your system to trigger actions based on the information it receives. If you are excited about this, consider the Higher Nitec in Electronics Engineering course to deepen your understanding.

Learning outcomes

Learn AI Skills to Code Smarter and Faster

This course teaches how to use AI to create basic code, saving time and focusing on project details. You will also learn how AI makes troubleshooting easier by quickly identifying and fixing errors, turning debugging into a smooth process. With AI as your guide, complex IoT concepts will become clearer and simpler to understand.

Build Confidence for the Smart Future

By combining AI with IoT coding, this course makes learning more fun and accessible. You will gain the skills to confidently design smart, connected systems for the future. Start your journey to mastering IoT and shaping the world of tomorrow today.

Module outline

More information on the module outline

S/N

Module outline

1

Core IoT Concepts: A fundamental understanding of what the Internet of Things is and how its components interact.

2

Sensor Interfacing: How to connect and integrate sensors with IoT online cloud storage platforms. 

3

Sensor Data Visualization: Skills in displaying and interpreting sensor data on cloud dashboards. 

4

Notification Systems: How to set up and manage notifications based on sensor data. 

5

AI-Assisted Code Generation: Leveraging AI tools to generate basic code for IoT applications efficiently. 

6

AI-Powered Troubleshooting: Utilizing AI to quickly identify and resolve coding errors and debug IoT applications.

7

 Rules Engine Design: The ability to design and implement a rules engine to process sensor data and trigger events. 

8

 IoT Career Prospects: Insights into potential career paths and opportunities within the IoT industry. 

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