Innovative Skills

Course Description

This IoT and AI Integration Course is designed to provide a complete roadmap from the basics of IoT architecture to advanced AI-driven applications. Learners will explore how IoT devices collect and transmit data, how cloud platforms process it, and how Artificial Intelligence models enhance decision-making. With hands-on practice using tools like Arduino IDE, Raspberry Pi, MQTT, TensorFlow, and PyTorch, students will gain practical skills in IoT data acquisition, real-time processing, Edge AI optimization, and secure scalable deployments.

By the end of the course, participants will be able to design and develop real-world IoT + AI applications such as patient monitoring, weather forecasting, traffic analysis, and voice-enabled systems.

Milestone 1: Foundations of Internet of things & AI

IoT কীভাবে কাজ করে. তার ecosystem (Device → Network → Cloud → Application)
IoT building blocks (sensors. actuators. microcontrollers. gateways. protocols)।
Cloud IoT platforms overview (AWS IoT. Azure IoT Hub. Google Cloud IoT)।
AI use cases in IoT.
Tools/Frameworks: Arduino IDE. Raspberry Pi. Python basics.

Milestone 2: Data Acquisition & Processing

Data acquisition methods (polling. interrupt. streaming)
Communication protocols (MQTT. CoAP. HTTP REST APIs)
Preprocessing: normalization. missing values. noise filtering
Tools/Frameworks: MQTT broker (Mosquitto). Firebase Realtime DB. Pandas (Python)