Ages 6 - 9

Students are introduced to the basics of robotics and build a unique project each day using different robotics components. They use block coding to make their projects fully functional and to improve the project. In AI, they study an introduction to AI, major branches including machine learning, and practical applications such as future prediction, as well as object and face detection. Concise instructions paired with structured, hands-on projects using age-appropriate AI tools and visual coding to translate theory into practice.

Ages 10 - 13

Students focus on intermediate robotics using dedicated controllers, multiple motor types, and a range of sensors to address different missions. Programming challenges increase in complexity and emphasize planning, accuracy, and systematic problem-solving. In AI, the curriculum covers many AI concepts, including classification, regression, and reinforcement learning, connecting these methods directly to daily build outcomes. Each day concludes with a functional demonstration that reinforces both classical and generative AI principles through practical application.