From electronics and automation to AI hardware.
10 sessions. 5 builds. 1 AI invention. Children learn how sensors, microcontrollers and code control real machines, then add an AI vision camera to build their first intelligent machine.
A hands-on journey that gives children the foundation they need before they step into AI hardware. They learn how sensors work, how microcontrollers make decisions, how to connect wires correctly and how code controls real-world devices. Then they use an AI vision camera to build their first intelligent machine.
5 automation projects and 1 AI project.
Hands-on physical computing.
The foundation comes before the AI.
From first circuit to AI hardware.
A parent's quick overview: AI can feel complicated when children meet it without understanding the hardware underneath. This workshop closes that gap. Children first learn the building blocks of physical computing, then build 5 automation projects with Arduino, micro:bit and sensors. Once they understand how machines sense, decide and act, they move to an AI vision project and see how a camera adds intelligence to a real machine.
Knowing how to use an AI tool is different from knowing how to build a system that uses AI. We build the foundation first, so children understand what happens behind the screen.
Children may be able to use an AI application, but still struggle to understand sensors, circuits, microcontrollers, inputs, outputs and how an intelligent system actually controls something physical.
Building step by step: connect a sensor, read its value, write a decision, control an output, combine components into an automation, and finally connect an AI vision camera so the machine responds intelligently.
Children first understand inputs, outputs, microcontrollers, sensors, simple logic and safe wiring. They see how a machine gets information from the physical world.
Using Arduino, micro:bit and sensors, children build five progressively harder automation projects. Each one reinforces wiring, logic, debugging and cause-and-effect thinking.
With the fundamentals in place, students connect an AI vision camera and build one intelligent hardware project. The AI output now has a physical meaning: it can trigger a motor, light, buzzer or other action.
Before children meet AI, they learn the simple system behind automation: Sense, Decide, Act. It becomes the mental model they use throughout the workshop.
Sensors collect real-world signals: light level, distance, movement, soil moisture, or what an AI camera sees.
The microcontroller evaluates sensor data in real time. Is it dark? Is the soil dry? Did the camera recognise the object? Is something moving?
Decisions become physical action: turning a servo motor, switching a mini pump, sounding a buzzer or lighting an LED.
A complete, standalone smart invention that works on its own, with no hand on the controls.
The first five projects build confidence with sensors, wiring, microcontrollers and automation. Only once that foundation is ready do students add AI vision.
What the child builds: a lamp that turns on by itself when the surroundings become dark. Children learn the basic link between a sensor reading, a condition and an output.
What the child builds: a proximity alert that detects how close an object is and answers with a buzzer or indicator. Children discover that sensors turn the physical world into measurable data.
What the child builds: a simple safety system that detects movement and sets off an alert. Children learn event-based automation and how several conditions can control a system.
What the child builds: a plant-care system that checks soil moisture and responds when the plant needs water. Children learn analog sensor values, thresholds and automatic control.
What the child builds: a miniature parking entrance that detects a vehicle and opens a barrier on its own. Sensing, decision-making and physical movement come together in one system.
The AI moment: the child already understands sensors, wiring, decisions and motors. Now they add an AI vision camera that recognises an object or category, and use that result to control a physical output. AI stops being a screen-only idea and becomes the eyes of a machine.
No one-size-fits-all. Hardware platforms and coding tools are matched to your child's motor skills and stage of reasoning.
Built for younger tinkerers. The micro:bit v2 packs onboard sensors (accelerometer, compass, microphone, touch logo) with a 5x5 LED display and edge-connector breakout boards.
For older students ready for real electronic components. They build physical circuits with breadboards, jumper wires, resistors, relays and multi-sensor readings.
Both tracks follow the same journey: the five automation builds, then the AI Vision Smart Sorter, on the hardware that suits their age.
The goal is not to copy a circuit. Students learn to understand it, test it, debug it and eventually modify it.
Test real sensors and see raw readings.
Change code values and see what breaks.
Wire the circuit and connect servo motors.
Measure reliability in real conditions.
Track down loose wires and logic glitches.
Add fail-safes and buzzer alerts.
Present a live, working machine prototype.
10 sessions, 3:00 PM to 4:30 PM, Monday to Friday plus one Saturday. No session on Sunday 18 October or on Dasara (Tuesday 20 October).
The sequence matters. Students do not jump straight into AI. They build the confidence and physical-computing foundation needed to understand and create AI-enabled hardware.
Understand what Arduino and micro:bit do. Identify power, input and output. Build the first LED and buzzer circuit.
Milestone: First working circuitConnect basic sensors and read their values. Explore light, distance and motion as physical inputs.
Milestone: Live sensor readingsUse conditions, thresholds and simple logic to make a system respond automatically.
Milestone: First sensor automationBuild and test an automatic light system with a light sensor. Debug wiring and threshold values.
Milestone: Working Smart Night LampBuild a proximity alert with an ultrasonic sensor, buzzer and LEDs. Learn how distance becomes a decision.
Milestone: Working Distance AlertUse a PIR sensor to detect movement and trigger an alert. Introduce event-based automation and testing.
Milestone: Working Safety AlarmUse a soil moisture sensor to detect dryness and control a pump or servo-based watering mechanism.
Milestone: Working Plant Care SystemCombine a sensor, decision logic and a servo motor to make an automated parking barrier.
Milestone: Working Parking GateUnderstand the difference between a normal sensor and AI vision. See how an AI camera recognises objects and turns recognition into usable output.
Milestone: AI vision recognition demoConnect the AI vision camera to the hardware system. Test recognition, trigger a physical response, debug, then present the final invention at the showcase.
Milestone: AI hardware prototype + showcaseThe projects are the visible outcome. The real value is the confidence and problem-solving ability built underneath them.
Children learn what sensors, microcontrollers, wires, motors and outputs actually do, and how they connect.
They learn to think in a pattern: sense something, make a decision, then create an action.
When a circuit does not work, they inspect the wiring, code and sensor values instead of waiting for the answer.
After five automation builds, they understand why AI vision is useful and how its output can control a physical machine.
The final session (Saturday 24 October) is a proof-of-learning moment. Students demonstrate the five automation builds, then show how AI vision adds a new capability to their final machine.
Children power on their circuits and trigger real sensors in front of parents.
Each student explains what the machine senses, how it decides and where AI was added.
Mentors ask simple “why” questions to check they understand what they built.
Graduation ceremony with a Young Inventor certificate and badge awards.
Three steps to reserve your child's workbench.
Fill in the form below and pay the full Rs. 8,260 at checkout. One payment, no advance option.
Share your child's name and age so we can match the right track.
Arrive for the first session on 12 October and start wiring your first circuit.
A working automation model to demo to friends or build on.
Circuit diagrams, code cheat-sheets, sensor pinout charts and troubleshooting guides.
A certificate of completion from KiddyPi STEM Academy.
Video and photos of their live pitch and machine demo, handy for school profiles.
No. AI Tinker Garage is built for beginners. The first session starts with simple, physical cause-and-effect experiments, and each concept builds on the last so children feel capable, never overwhelmed.
Using an AI tool is different from building a system that uses AI. Children first learn sensors, wiring, decisions and motors through five automation builds, so when the AI vision camera arrives in session 9 it has a physical meaning.
All hardware runs on low-voltage 5V DC, powered by USB or 9V battery snaps. There is no soldering, no hot glue gun and no household wall-socket voltage.
Screen-based classes keep children at a flat monitor. Here they work with physical parts: holding distance sensors, wiring motors, debugging breadboard connections and building objects that move.
We keep to 1 mentor for every 6 students, so your child gets quick personal help when a wire is loose or a line of code needs adjusting.
No. The fee of Rs. 8,260 (including 18% GST) is paid in full in one payment. There is no advance or part-payment option.
No welcome kit is provided.
Give your child an inventor's mindset this Dasara. Seats are limited so every child gets a mentor beside them.