Course Overview
This course provides a comprehensive practical introduction to the integrated world of AI and Robotics. Students begin with virtual simulations using VEX VR, progress to physical IoT automation with Arduino, and eventually build autonomous handmade robots. The curriculum concludes with high-level AI projects using Python and Teachable Machine, focusing on real-time computer vision, object tracking, and facial recognition.
Main Curriculum Content
- 01. Robotic Simulation: Introduction to VEX VR online platform. Coding virtual robots to control movements, designing Drawing Robots and automated Cleaning Robots using drag-and-drop block programming.
- 02. IOT Smart Technology: Fundamentals of electronics (voltage, current, resistance). Arduino programming and projects including Smoke Detection, IR Motion Alarms, and complete Smart Home systems.
- 03. Obstacle Avoiding Handmade Robot: A complete mechatronics project using Arduino. Understanding circuit diagrams, assembling chassis and sensors, and programming autonomous navigation logic.
- 04. Artificial Intelligence Projects: Machine Learning with Teachable Machine and Python. Installing OpenCV/NumPy. Projects include Moving Object Detection, Face Recognition, and Color-based Object Tracking.
Development Projects
- Handmade Arduino Rover: Building and programming a fully functional, autonomous robot car designed for obstacle avoidance using Arduino.
- IoT Safety Automation: Creating a practical smart home setup, including real-time smoke detection and infrared motion alarms.
- Computer Vision AI: Developing Python-based AI models for real-time moving object detection, face recognition, and color tracking.
Hands-On Learning Opportunities
This Robotics and Artificial Intelligence course is highly interactive and hardware-driven. You will move from programming virtual robots in VEX VR to wiring physical circuits, assembling robot chassis, and writing the code that brings them to life. Finally, you will bridge hardware and software by integrating Python-based machine learning models with physical sensors.
Who Should Enroll?
- Aspiring Tech Innovators: Students eager to explore how electronics, coding, and artificial intelligence work together in the real world.
- Hardware & Electronics Enthusiasts: Individuals looking to move beyond simple circuits into programmable robotics and smart home automation.
- Academic & University Students: Undergraduates aiming to build a strong, practical portfolio in mechatronics, IoT, and computer vision.
Why Choose This Course?
This program replaces dry theory with exciting, hands-on projects. You will learn by building real things—from programming sensors to training your own AI models. Mastering the combination of physical electronics (Arduino) and modern AI tools (Python, OpenCV) gives you a massive advantage in today's rapidly advancing technological landscape.