Class 9: Robotics & Artificial Intelligence (ICSE)

This course is designed for ICSE Class 9 students who want to begin their journey into Robotics, Artificial Intelligence (AI), and coding through a highly practical and activity-based approach. The curriculum follows the official ICSE Robotics & AI syllabus (Subject Code 66) and focuses on building strong foundations in both hardware and software skills 

Robotics-and-AI-Curriculum-for-

The instructor is currently working as an Engineer at the Centre for Artificial Intelligence (CAI), IIIT Delhi, and has previously worked as an R&D Robotics Engineer at GreyOrange, a global robotics company in warehouse automation. With 10+ years of hands-on experience in electronics, robotics, and AI projects, students benefit from real industry exposure and practical learning methods beyond textbooks. (Parents and students are encouraged to check the instructor’s LinkedIn profile for detailed professional background.)

In Class 9, students are introduced to robotics fundamentals, including types of robots, robot components (sensors, actuators, controllers), motion, joints, links, and real-world applications in healthcare, agriculture, industry, and defense. The AI section introduces artificial intelligence concepts, ethics in AI, data, and programming using Python. Students learn Python basics such as variables, loops, functions, and gradually move toward AI concepts like computer vision, NLP, and machine learning basics using tools like PictoBlox.

Practical learning is done using Quarky robotic kits, Arduino, and Python programming, where students build robots such as line followers, obstacle avoiders, and sensor-based systems, and perform AI tasks like face detection, object detection, and image classification. The course also includes capstone projects and participation in competitions like Codeavour, encouraging innovation and teamwork.

Who should join?
Students who are curious about technology, enjoy hands-on activities, and are interested in future careers in engineering, AI, robotics, or computer science.

What should students bring?
Basic computer knowledge, a notebook, and willingness to experiment and build. All robotics tools and kits are provided during practical sessions.