This part explores the innovative integration of extended reality, digital avatars, and generative platforms in the teaching of art history, centering on the development and deployment of a Leonardo da Vinci AI-Clone tutor. The chapter opens by articulating key pedagogical principles and possibilities introduced by immersive, machine-based environments, emphasizing the unique affordances of extended reality for dialogic, student-centered learning. It then details the technical and conceptual processes involved in designing the interactive tutor, including dataset curation, avatar modeling, and the calibration of historically grounded yet adaptive conversational capacities. Through concrete examples from virtual classrooms, the discussion illustrates how interactive, avatar-driven instruction enables real-time analytic feedback, collaborative problem-solving, and experiential learning across varied educational settings. The chapter addresses significant challenges in implementation, such as technical constraints, dataset biases, and the maintenance of authenticity in avatar-driven pedagogy. It concludes by mapping future directions for avatar-powered, immersive education in art history, proposing scalable models and research agendas for advancing inclusivity, engagement, and scholarly rigor.