The Five-Day Workshop on Understanding the Mathematics Behind Artificial Intelligence is designed with a clear and purposeful vision — to explore the fundamental mathematical concepts that form the backbone of modern artificial intelligence and machine learning algorithms. In an era where AI is transforming every sector of society, from healthcare and finance to education and engineering, a solid grounding in the mathematics that drives these systems has never been more essential. A central aim of this workshop is to bridge the gap between theoretical mathematics and its practical applications in AI — a divide that has long challenged students, educators, and professionals alike. Through carefully designed sessions, participants will explore key areas including linear algebra, which governs how data is represented and transformed; probability and statistics, which enable machines to reason under uncertainty and learn from data; and optimization techniques, which lie at the heart of how AI models are trained and refined. Beyond building technical knowledge, the workshop is committed to equipping participants with a deeper and more intuitive understanding of how mathematical frameworks drive intelligent systems, empowering them to design, evaluate, and analyze AI models with greater confidence, creativity, and critical thinking. At its broadest level, the workshop aspires to foster interdisciplinary collaboration — bringing together mathematicians, computer scientists, engineers, and researchers from diverse fields — creating a shared language rooted in mathematics, sparking meaningful dialogue, and advancing innovation at the intersection of mathematics and artificial intelligence.