Class 10: Robotics & Artificial Intelligence (ICSE)

This advanced course is designed for ICSE Class 10 students who want to deepen their expertise in Robotics, Artificial Intelligence, Data Science, and Python programming. It follows the official ICSE Robotics & AI syllabus (Subject Code 66) and prepares students for higher studies and future technology careers through intensive project-based learning 

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The instructor is an Engineer at the Centre for Artificial Intelligence (CAI), IIIT Delhi, and has professional experience as an R&D Robotics Engineer at GreyOrange, working on real-world robotic automation systems. With over 10 years of hands-on engineering experience, students learn how robotics and AI are actually applied in industry, research labs, and startups. (For full professional details, students and parents may check the instructor on LinkedIn.)

Class 10 focuses on New Age Robotic Systems (NARS), collaborative robots (cobots), smart environments, drones, warehouse robots, and medical robotics. Students study robot mechanics (gears, sensors, actuators, controllers) and build complex robotic systems such as pick-and-place robots, gripper robots, line-following robots, and autonomous obstacle-avoidance robots using Quarky and Arduino platforms.

On the AI side, students move into machine learning, decision-making in machines, cybersecurity concepts, and AI project frameworks. Python is used extensively with real libraries such as NumPy, Pandas, and Matplotlib, and students build ML applications like mask detection, fruit classification, gesture recognition, NLP text classifiers, and even self-driving car simulations.

The course strongly emphasizes capstone projects, field-visit-style learning, real datasets, and competition participation, helping students build strong portfolios useful for future school projects, Olympiads, and engineering pathways.

Who should join?
Students interested in engineering, AI, robotics, automation, data science, or competitive tech careers who want strong practical exposure.

What should students bring?
Basic Python familiarity (from Class 9), curiosity, and interest in building real systems. All required kits and software tools are supported during lab sessions.