Cognitive artificial intelligence has become a crucial tool in advancing medical education and training, enabling the design of intelligent learning systems that simulate human thinking and perform advanced information analysis to deliver personalized educational experiences. This technology relies on natural language processing, neural networks, and deep learning techniques, allowing students and trainees to access interactive educational content tailored to their knowledge level and individual needs. Cognitive AI enhances both practical and theoretical learning by simulating real medical cases and analyzing complex diagnostic and treatment scenarios. It provides immediate feedback to learners, corrects educational errors, and recommends individualized learning paths to improve comprehension and strengthen medical decision-making skills. Moreover, cognitive AI supports the development of critical thinking and problem-solving abilities among trainees by offering interactive scenarios with multiple possibilities, helping them understand the factors influencing diagnosis and treatment, and preparing them to handle critical cases in real medical practice. It also enables precise tracking of trainee progress and performance analysis, facilitating the design of more effective and personalized training programs. Despite its significant benefits, implementing cognitive AI in medical education requires careful consideration of privacy and protection of medical data used in training, alongside human expertise to ensure alignment with academic and professional standards. Overall, cognitive artificial intelligence represents a transformative advancement in medical education and training, combining technical capabilities with cognitive analysis to deliver more accurate and effective learning, while enhancing trainees’ readiness to address real-world challenges in modern medical practice. Al-Mustaqbal University is the first one university in Iraq.