In today's world, technology advances at an unimaginable pace, with artificial intelligence (AI) representing one of the most dynamic and influential branches of this progress. In the healthcare system, particularly in nursing education, artificial intelligence can bring significant changes and improvements. This thesis explores the potential applications of artificial intelligence in nursing education and opportunities for enhancing nursing practice. The theoretical basis of the work includes a review of the development of artificial intelligence and its applications in the healthcare sector. The aim of this thesis is to identify and analyze methods of implementing artificial intelligence in nursing education, with a focus on personalized learning, simulations, and virtual learning. The data sources include scientific articles, books, and reports searched in databases such as PubMed, ScienceDirect, IEEE Explore and Google Scholar, covering the period from 2010 to 2024. The selection criteria for sources were based on their relevance to the research and the qualitative value of the data. The study faces several limitations, including the rapid pace of technological development and the variability in the quality of available literature. Research findings indicate significant potential for artificial intelligence to improve nursing education. Artificial intelligence enables the creation of individualized educational plans tailored to the specific needs of each student, thereby increasing learning efficiency. The use of simulations and virtual reality allows students to encounter realistic scenarios, leading to better performance in actual clinical situations. Artificial intelligence can also reduce the administrative burden on nurses by automating routine tasks, thereby increasing the time available for direct patient care. The application of artificial intelligence in data analysis facilitates more precise pattern recognition and informed decision-making, with high accuracy in identifying early signs of patient deterioration. This capability can significantly enhance the accuracy and effectiveness of clinical procedures. The main results of the work emphasize the importance of integrating artificial intelligence into nursing education programs to improve the quality of education and prepare nurses for future challenges.