Radiation therapy with X-ray CT scanners and linear accelerators (linacs) is vital for cancer treatment. Understanding how these devices function is essential for medical physicists, radiation technologists, and oncologists, typically gained through training and hands-on experience. However, challenges persist in sharing knowledge and training, especially in low—to middle-income countries (LMICs). High equipment costs, the need for experienced trainers, and logistical issues with in-person training hinder progress. While methods like remote peer review and distance learning can alleviate some barriers, significant challenges in information sharing remain. Creating physical teaching aids and employing augmented reality (AR) for education can address some of these challenges. Many LMICs face financial obstacles in acquiring expensive software and tools, while high patient volumes often limit access to complex equipment. Geographic constraints further restrict access to centralized training, complicating workforce development. Additionally, rapid technological advancements in cancer management outpace traditional educational models, which often rely on physical presence and devices. Given the success of a pilot project by the PIs and in collaboration with Medical Physics for World Benefit (MPWB), this project aims to develop interactive AR/VR simulations of linacs and CT scanners, including a virtual patient imaging and treatment workflow. These immersive simulations will deepen students' understanding of complex imaging technology and cancer treatment. Cornell undergraduate students will design and refine these models with input from MPWB and educators, ultimately testing and evaluating them in ten global clinical training programs in LMICs. This initiative aims to bridge the educational gap in resource-limited environments, equipping students with essential technical skills and promoting accessible learning through community engagement and interdisciplinary collaboration.