Artificial intelligence in training specialists of agribusiness power engineering within digital transformation

Abstract

This article analyzes the possibilities and prospects of implementing artificial intelligence (AI) technologies in the training of highly qualified specialists of agribusiness power engineering. The urgent need to digitally modernize education curricula considering modern challenges in the energy sector is substantiated. Specific AI tools, such as intelligent tutoring systems and machine learning–based simulators, which contribute to improving the quality of practice–oriented education, are considered. It is demonstrated that AI integration allows for the creation of personalized educational pathways and effectively develops critical thinking of the future electrical engineers in the field of agribusiness.