The accelerating advancements in Additive Manufacturing (AM) demand an equally innovative approach to education—one that moves beyond traditional textbooks and static diagrams. AI-Enhanced Reality (AIR) Education represents a fundamental shift, integrating Artificial Intelligence (AI) and Extended Reality (XR) to create an adaptive, immersive, and scalable learning framework tailored for AM training. This chapter explores how real-time AI-driven personalization and interactive XR environments revolutionize skill acquisition, bridging the gap between conceptual understanding and hands-on expertise. The four-phase AIR learning model—Guided Learning, Supported Learning, Assessment, and Peer Learning—structures AM education into a progression that develops proficiency through simulation, real-world problem-solving, and collaboration. Empirical insights and case studies, including the AREOLA project’s success in reducing training costs while maintaining skill retention and the Walton Institute’s innovations in XR-driven education, underscore the model’s effectiveness. Evidence suggests that up to 50% of conventional hands-on training can be replaced by XR-based instruction, significantly lowering resource dependency without compromising learning outcomes. Beyond technological efficiency, AIR Education redefines what it means to prepare students and professionals for the AM industry—enhancing accessibility, minimizing material waste, and aligning education with the realities of an evolving workforce. As industries demand agile, technically adept, and forward-thinking AM professionals, this chapter presents a compelling roadmap for institutions and training centers to implement AIR Education as a cost-effective, future-proof solution. The transition to AI-driven, immersive learning isn’t optional—it’s inevitable. The question is: who will lead the charge?