Table of Contents
- 1. Course Modules:
- 2. Module 1: Introduction to AIoT (AI + IoT)
- 3. Module 2: IoT Devices and Sensor Technologies
- 4. Module 3: AI Fundamentals for IoT Applications
- 5. Module 4: Edge AI and On-Device Intelligence
- 6. Module 5: Cloud Platforms and Data Pipelines
- 7. Module 6: Predictive Maintenance and Anomaly Detection
- 8. Module 7: Smart Automation & Decision Making
- 9. Module 8: Security & Privacy in AIoT Systems
- 10. Module 9: Tools & Frameworks for AIoT Development
- 11. Module 10: Capstone Project
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Course Modules:
Module 1: Introduction to AIoT (AI + IoT)
What is AIoT and why it matters
Key components of an AIoT system
Use cases in smart homes, cities, health, and industry
Module 2: IoT Devices and Sensor Technologies
Types of IoT sensors and actuators
Data collection and signal processing
Device communication protocols (MQTT, HTTP, CoAP)
Module 3: AI Fundamentals for IoT Applications
Supervised vs. unsupervised learning in IoT
Real-time vs. batch analytics
AI algorithms suited for IoT (SVM, KNN, anomaly detection)
Module 4: Edge AI and On-Device Intelligence
What is edge computing?
Deploying AI models on microcontrollers and edge gateways
Tools: TensorFlow Lite, NVIDIA Jetson, Edge Impulse
Module 5: Cloud Platforms and Data Pipelines
IoT cloud architecture (AWS IoT, Azure IoT, GCP)
Stream processing with Apache Kafka and IoT Core
Building scalable pipelines for sensor data
Module 6: Predictive Maintenance and Anomaly Detection
Using ML to detect failures in machinery and systems
Time-series modeling for sensor data
Implementing threshold-based and AI-based alerts
Module 7: Smart Automation & Decision Making
Rule-based vs AI-based automation
Reinforcement learning for autonomous actions
Examples: Smart thermostats, irrigation systems, robotic arms
Module 8: Security & Privacy in AIoT Systems
Securing device communications
Data encryption, identity, and access control
AI for intrusion detection in connected environments
Module 9: Tools & Frameworks for AIoT Development
Arduino, Raspberry Pi, ESP32
Open-source platforms: Node-RED, ThingsBoard, TensorFlow Lite
End-to-end project building
Module 10: Capstone Project
Choose from:
Building a smart home AI system
Industrial predictive maintenance solution
Real-time object detection on an edge device
Deliver working prototype, documentation, and demo
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