Foundations: Programming, electronics, circuits, and the mathematical principles that drive robotics and AI.
Perception & Control: Working with sensors, computer vision, and feedback systems to create robots that can sense and respond to their environments.
Intelligence: Exploring machine learning, decision-making, and behavior-based robotics to bring autonomy to machines.
Integration & Ethics: Combining hardware and software into complete systems while learning about safety, ethics, and the social impact of AI.
Innovation & Research: Advancing into topics such as autonomous navigation, deep learning, human-robot interaction, and entrepreneurship.
By graduation, students will have not only technical skills in AI, robotics, and data science, but also the problem-solving, teamwork, and communication abilities that prepare them for university pathways, research opportunities, and emerging careers in technology and engineering.
The program combines classroom instruction with hands-on labs and real-world projects. Students use modern hardware platforms and professional-grade software tools while collaborating in teams, receiving mentorship, and engaging with industry practices. Each year culminates in a major project where students design, build, and present their own intelligent robotic systems.