Robotics & AI
The complete journey: Arduino, Python, sensors, motors, and autonomous navigation — then into the AI stack with computer vision, neural networks, and edge AI on real robots.
What you'll learn
- Arduino essentials Board anatomy, digital & analog I/O, C++ basics, PWM
- Python for robotics Syntax, OOP, NumPy, serial communication, Jupyter
- Sensors Ultrasonic, IR, IMU/MPU-6050, DHT11, sensor fusion
- Actuators & motion DC, servo & stepper motors, L298N driver
- Robot chassis Wheeled robot assembly, differential drive, Bluetooth control
- Navigation & autonomy Obstacle avoidance, PID, path planning (A*, BFS), odometry
- Arduino + Python bridge Real-time streaming, logging, live dashboards
- Robot arms & kinematics Forward & inverse kinematics, gripper control
- ML fundamentals scikit-learn, decision trees, KNN, model evaluation
- Computer vision OpenCV, object tracking, face detection, QR reading
- Neural networks Build one from scratch, then TensorFlow / Keras
- AI on embedded systems TensorFlow Lite, edge AI, gesture & voice demos
- Integration skills System design, debugging, documentation
- Final project Team build, demo day, certificate evaluation