What you will do
• Teach AI basics: neural networks, supervised and unsupervised learning, training and inference, and an introduction to reinforcement learning
• Teach Python from the basics up to building a neural network
• Teach robot sensors: accelerometers, gyroscopes, magnetometers and pressure sensors, including specifications and limitations
• Teach image processing and computer vision with Python and OpenCV, and deep learning with CNNs
• Teach audio for robots: microphones, microphone arrays, digital signal processing and AI on audio
• Teach advanced sensing: RADAR, depth cameras, time of flight, LIDAR and point clouds
• Teach Edge AI and IoT, and compare CPU, GPU, TPU and NPU for real-time, low-power AI
• Teach ground vehicles and rovers: path finding, localisation and pedestrian identification
• Cover the sensors and hardware of quadruped, humanoid and soft robots
• Run hands-on labs on sensors, cameras, edge devices and robots, and help students fix hardware, circuit and code problems
• Prepare lesson plans, lab exercises and assessments
• Keep robot kits and lab equipment in working order
• Guide each student's minor project and major project, and review them Must have
• 2+ years teaching robotics at a college, training institute, school lab or edtech company
• B.
E., B.
Tech or M.
Tech in ECE, EEE, CSE, Mechatronics, Robotics or a related field
• Hands-on with Arduino,



ESP32 and Raspberry Pi, including sensors, motors and motor drivers
• Knows GPIO, PWM, ADC, I2C, SPI and UART
• Has built and fixed working robots, such as a rover or mobile robot
• Strong in Python, with working C or C++ for boards, and can write and fix code live in class
• Can solder and debug circuits with a multimeter
• Hands-on IoT: sending sensor data over Wi-Fi or MQTT
• Working knowledge of OpenCV and TensorFlow or PyTorch, including training a straightforward CNN
• Can read a sensor datasheet and work with sensor signals
• Understands LIDAR, depth cameras, RADAR, Edge AI and NPUs well enough to teach the concepts
• Can teach complete beginners with no coding or electronics background
• Can explain hard ideas in plain English, and in Telugu or Hindi when a student is stuck Good to have
• ROS or ROS 2
• Robot simulation with Gazebo or Webots
• Has run an AI model on a small device such as a Raspberry Pi or NVIDIA Jetson
• Hands-on work with LIDAR, depth cameras, RADAR or point clouds
• Audio or digital signal processing work, including microphone arrays
• 3D printing and CAD
• Drones, or quadruped, humanoid or soft robots
• Industry work at a robotics, drone, automation or embedded company
• Has mentored student teams for competitions such as WRO, FLL, VEX or Robocon

📌 Robotics Trainer (Hyderabad)
🏢 Quantum Academics
📍 Hyderabad