The Value-Added Program on Quantum-Inspired Computer Vision for Smart Energy Infrastructure is designed to provide UG, PG, and research scholars with a strong foundation in AI-driven vision systems and computational techniques relevant to modern smart infrastructure. This program focuses on integrating computer vision, image processing, and quantum-inspired computational concepts to support intelligent monitoring, fault detection, and decision-making in energy and infrastructure systems. Through a balanced mix of theoretical concepts and practical modeling approaches, participants gain exposure to real-time monitoring, anomaly detection, and automated decision support systems, preparing them for advanced research and industry applications in smart energy and intelligent facilities.