This Seminar offers an engaging and insightful platform for researchers, faculty, and students to explore the mathematical foundations that power modern artificial intelligence. In a rapidly advancing digital era, this seminar is designed to take participants on a focused journey from core mathematical concepts to real-world AI applications—all within a single day. Covering essential areas such as linear algebra, probability, statistics, calculus and optimization, the sessions will highlight how theoretical principles transform into intelligent features within AI systems. Through interactive discussions and concept-driven presentations, participants will gain a deeper, intuitive understanding of how mathematics drives innovation in AI. The seminar fosters interdisciplinary collaboration, encouraging the exchange of ideas across diverse academic backgrounds. By the end of the session, participants will be equipped with the confidence and clarity to analyse, apply, and contribute to AI development in research, teaching, and practice.