Artificial intelligence in the system of training higher education applicants

Subject of the study. This article addresses the integration of artificial intelligence (AI) technologies into the higher education system, focusing on their role in enhancing the quality of education and developing digital competence among future professionals. Research topic. The implementation of AI tools as an innovative component in the digital transformation of educational processes in universities. Purpose. To substantiate the importance of embedding AI into the training of higher education students and to determine key areas of its pedagogical application. Methodology. The study employs theoretical analysis, synthesis, generalization, and comparative analysis of scientific literature and modern digital practices. These methods allowed the authors to identify pedagogical potentials and risks of AI integration in education. 

Results. The findings reveal that AI can function not only as an auxiliary technological tool, but also as a dynamic participant in the educational environment. AI is capable of providing personalized tutoring, automating assessment, generating adaptive learning content, and analyzing educational data to optimize learning outcomes. Its implementation fosters student engagement, supports individualized learning trajectories, and contributes to the development of 21st-century skills. Application of results. The study's outcomes can be applied to teacher training programs, the design of AI-based learning systems, and the creation of educational policies that promote digital innovation in higher education. Conclusions. The effective use of AI in education opens up opportunities for creating flexible, inclusive, and student-centered learning environments. This requires updating curricula, redefining teacher roles, and equipping educators and students with AI literacy and ethical awareness in a digitally-driven world.