Program Overview
Welcome to the most comprehensive AI & Robotics course designed specifically for school-aged innovators. This 24-hour journey bridges the gap between digital intelligence and physical mechanics, taking students from the basics of visual logic to the advanced engineering required for autonomous robotic control.
Foundations: AI and Machine Learning
We begin by demystifying how computers think. Utilizing a project-based approach, students explore the core concepts of Artificial Intelligence through Scratch visual programming. We integrate powerful tools from machinelearningforkids.co.uk, enabling students to train their own ML models for image, text, and sound recognition, making their Scratch projects truly intelligent.
Advanced: The Physical Leap
The core power of this program lies in transitioning from the screen to the real world. Students are introduced to the versatile ESP32 microcontroller—the brains of modern connected devices. We move beyond simple visual coding into ESP32 programming (utilizing microPython or Arduino C), where students learn to interface their AI models directly with physical sensors and motors. All complex algorithmic and hardware concepts are explained in both English and Marathi for native-level clarity.
Course Foundations
Core Objectives
To provide a structured, practical understanding of Artificial Intelligence, Machine Learning, and Robotics engineering. We prioritize native-language explanations to foster strong computational logic and the algorithmic thinking required to build, test, and deploy intelligent hardware systems independently.
Expected Outcomes
Upon completion, students will independently train, test, and integrate Machine Learning models into visual programs and physical hardware. They will demonstrate the capability to architect and program an autonomous ESP32-powered robot car that utilizes sensor data for intelligent navigation and decision-making.
Hardware Education
This program offers extensive hands-on education in electronics engineering. Students dive deep into microcontroller architecture, sensor integration, motor driver utilization, and complex logic interfacing, ensuring a structural understanding of how smart devices are built.
Module-Wise Syllabus (24 Hours)
Visual Logic and AI Concepts (4 Hrs)
Familiarization with visual block-based programming (Scratch) and introductory algorithmic thinking. We demystify fundamental AI concepts: training data, testing, and model confidence, while setting up the Machine Learning Environment.
Practical Machine Learning (6 Hrs)
Deep dive into machinelearningforkids.co.uk. Students train specific models for image, sound, and text recognition, integrating these models into intelligent, decision-making Scratch projects.
Introduction to Robotics Hardware (4 Hrs)
From code to circuits. Detailed introduction to basic electronics: breadboarding, wiring, and the role of components. Introduction to the powerful ESP32 Microcontroller, its architecture, and Pinout (GPIO).
ESP32 Programming & Interfacing (4 Hrs)
Transition to text-based coding (microPython/Arduino). We cover essential microcontroller programming: reading analog/digital inputs (sensors) and controlling outputs (LEDs, Motors).
AI-Robot Integration & Capstone (6 Hrs)
The ultimate synthesis. Students apply their training to build a smart robot. Project scope: Program an ESP32 robot car that utilizes real-time sensor data and logic to navigate autonomously and react intelligently.
Hardware Information
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