Dermatology, a diverse medical specialty, covers a broad spectrum of conditions ranging from skin cancers and inflammatory dermatoses to hair and nail disorders, as well as aesthetic procedures. Dermatology is a core component of medical education, commonly featured in academic curricula and international examinations. Traditionally, students rely on textbooks, lecture slides, and notes for their dermatology training. However, the integration of artificial intelligence (AI) into medical education is transforming learning approaches. AI-powered platforms offer personalized learning by identifying individual strengths and weaknesses, recommending targeted resources, and providing real-time feedback. Chatbots act as virtual tutors, while virtual patients simulate clinical encounters, enhancing diagnostic and communication skills. Additionally, AI tools assist with writing dermatology-related projects, simplifying complex topics, generating practice questions, and employing content-based image retrieval for visual learning. Despite these benefits, there are still concerns regarding AI practices in medical education. Issues, such as data accuracy, lack of transparency, and AI hallucinations (where false yet plausible information is generated) pose risks to educational integrity. Privacy concerns also arise from the unauthorized use of patient images. These limitations can lead to student skepticism toward AI-generated content and challenge its full integration into medical learning. Addressing these challenges is essential for the safe and effective use of AI in dermatology education.