Coding Fundamentals
Scratch / Block Coding, Introduction to Python
AI & Robotics Education Build curiosity. Learn by doing. Think like a creator.
Designed for school students (Grades 4–17) to develop logical thinking, creativity, and problem-solving through hands-on learning.
Scratch / Block Coding, Introduction to Python
Sensors, motors, actuators and Line follower & obstacle robots
Smart lights & alarms, Mini automation projects
What is AI & Robotics, Real-life use cases.
Arduino Starter Kits Visual Coding + Robotics School curriculum integration Workshops, clubs & competitionsOutcome: Confidence, creativity, and early exposure to future technologies.
Age group: 8 – 17 years
Time commitment: 4–8 hours per month
Focus: Making — building, coding, experimenting
Mindset: Curiosity, creativity, collaboration
Find answers to the most common questions parents ask about the NextGen AI & Robotics Track.
Students begin with visual block-based programming (Scratch) to learn computational logic easily. As they progress, they transition to text-based coding with Python—the standard language for AI and robotics.
We use open-source Arduino microcontroller boards, various sensors (infrared, ultrasonic, light), DC motors, servos, and custom structural building kits. This gives kids a real look into mechanical and electrical engineering.
Students work on various hands-on projects, including autonomous line-following cars, obstacle-avoiding robots, smart home security alarms, automated plant watering systems, and voice-triggered device controls.
The course is structured into sequential levels. Beginners focus on mechanical assembly and block logic, while intermediate and advanced students cover circuit wiring, Python text scripts, sensor calibration, and full IoT integration.
Shape Your Future with AI & Robotics
Testimonials
From basics to advanced AI projects, AI Roboo Education helped me build real-world skills. The Edge AI training gave me industry-level exposure.
This program helped me upgrade my skills and transition into AI-based projects. The practical labs and real use-cases were extremely valuable.
