This chapter examines the transformative role of artificial intelligence (AI) in advancing ophthalmic clinical and surgical education. It explains how AI technologies—including large language models (LLMs), machine learning (ML), computer vision, and immersive simulation platforms—are reshaping how future surgeons and clinicians are trained. AI-driven systems improve learning through personalized instruction, real-time feedback, and competency-based assessment, resulting in stronger technical skills and better critical thinking. Tools like ChatGPT have shown proficiency in medical examinations by providing interactive explanations and adaptive questions to reinforce understanding. Additionally, virtual reality (VR), augmented reality (AR), and mixed reality (MR) environments enable trainees to practice complex procedures in realistic scenarios, bridging the gap between theory and surgery. Deep learning algorithms applied to surgical videos now facilitate automated performance evaluation and unbiased feedback, streamlining skill assessment. However, the chapter also discusses challenges related to data ethics, privacy, algorithmic bias, and the risk of overdependence on automation. Ultimately, integrating AI successfully into ophthalmic education requires balancing technological innovation with human skills, such as empathy, communication, and judgment, to train surgeons who are both technically skilled and ethically committed to patient-centered care.