Module 1: Programming Foundations for Intelligent Systems
• Introduction to programming logic and problem solving
• Basics of C programming for embedded systems
• Python programming fundamentals for AI and IoT applications
• Data types, operators, loops, and conditional statements
• Functions, libraries, and modular programming
• Introduction to Embedded C programming
• Understanding microcontroller programming concepts
• Using programming environments such as Arduino IDE and Python IDE
• Working with Python libraries used for AI and IoT development
• File handling and data processing basics
• Writing efficient programs for device communication
• Integration of programming with hardware interfaces
• Best practices for debugging and code optimization
Module 2: Fundamentals of Electronics and Circuit Design
• Fundamentals of electricity, voltage, current, and resistance
• Understanding electronic components
• Working principles of integrated circuits and timers
• Introduction to digital and analog electronics
• Basics of circuit analysis and design
• Use of breadboards and prototyping tools
• Understanding sensors and actuators used in IoT systems
• Interfacing LEDs, buzzers, relays, and motors
• Introduction to circuit simulation tools
• Designing simple electronic circuits for automation systems
• Power supply design for IoT devices
• Signal conditioning and noise considerations
• Testing and troubleshooting electronic circuits
Module 3: Embedded Systems and IoT Device Development
• Introduction to embedded systems and microcontrollers
• Overview of Microcontroller architecture and features
• Understanding GPIO, ADC, PWM, and communication interfaces
• Interfacing sensors with microcontrollers
• Working with common IoT sensors for real time applications.
• Integration of 10–15 sensors and actuators in IoT systems
• Data acquisition and sensor calibration techniques
• Serial communication and debugging techniques
• Wireless communication using WiFi and Bluetooth
• Introduction to IoT communication protocols (HTTP, MQTT)
• Building real-time monitoring systems
• Development of IoT automation systems
• Designing smart device applications using ESP32, Arduino UNO R4 Wifi , Arduino Nano R3
• Building practical IoT projects such as smart monitoring and automation systems
Module 4: Cloud Connectivity and IoT Data Systems
• Fundamentals of networking and internet communication
• Overview of cloud computing for IoT applications
• Connecting IoT devices to cloud servers
• Data transmission using IoT communication protocols
• Understanding MQTT and HTTP protocols
• Sending sensor data to cloud platforms
• Building real-time dashboards for IoT systems
• Remote monitoring and control of IoT devices
• Cloud-based data visualization and analytics
• Secure data communication between device and cloud
• Development of 10–15 IoT cloud-based projects
• Remote device automation using cloud platforms
• Integration of IoT devices with mobile and web applications
• Monitoring and controlling devices from anywhere via cloud platforms
Module 5: Artificial Intelligence Integration in IoT Systems
• Introduction to Artificial Intelligence and Machine Learning
• Role of AI in smart IoT ecosystems
• Fundamentals of Computer Vision for automation systems
• Introduction to OpenCV for image and video processing
• Real-time video capture using laptop camera
• Gesture detection and hand tracking techniques
• Mapping gestures to control IoT devices
• Integration of AI models with ESP32-based systems
• AI-assisted development using prompt-based coding techniques
• Using AI tools for rapid software development
• Smart automation using AI and IoT integration
• Designing gesture-controlled home automation systems
• Performance optimization for AI-enabled IoT systems
• Real-world applications of AIoT (Artificial Intelligence of Things)
Module 6: Capstone Innovation Project – AIoT Smart System Development
• Identification of real-world problems for IoT and AI solutions
• Project ideation and system architecture design
• Selection and integration of sensors and actuators
• Development of complete IoT device prototypes
• Integration of cloud connectivity and remote monitoring
• Implementation of AI-based gesture control systems
• Building intelligent smart automation systems
• Hardware and software integration testing
• Debugging and performance optimization
• Documentation of project design and implementation
• Demonstration of working prototypes
• Project presentation and evaluation