Transforming professional training for future IT specialists in the context of generative artificial intelligence
TL;DR
The paper substantiates the need to shift the focus of education from mechanical coding to prompt engineering, refactoring, and auditing of AI- generated solutions, as well as to the development of ethical reflection.
Abstract
The rapid development of generative artificial intelligence (GenAI) technologies is reshaping the IT industry landscape. Large language models and automated code generation systems take over routine programming and design operations. Against this background, a contradiction emerges between traditional IT training models, centered on mastering syntax and basic algorithms, and current labor market demands, where AI orchestration skills, architectural thinking, and critical verification of machine solutions acquire greater weight. The aim of this study is to identify key areas and develop a conceptual model for transforming the professional training of future IT specialists in the context of the widespread adoption of generative AI. This study utilizes methods of systemic analysis of employer requirements, comparative pedagogical analysis of domestic and international practices, and pedagogical modeling. The paper substantiates the need to shift the focus of education from mechanical coding to prompt engineering, refactoring, and auditing of AI- generated solutions, as well as to the development of ethical reflection. An updated model of IT specialist competencies is proposed, including a new block on "Human- AI Collaboration." Methodological approaches for integrating GenAI tools into the educational process have been developed, including a transition to authentic assessment formats that focus on the decision- making process, not just the final software product.