Using artificial intelligence in the study of DevOps cycle disciplines

The article examines the pressing issue of utilizing artificial intelligence (AI) technologies in the context of teaching DevOps-related disciplines in higher education institutions. Given the rapid growth of the IT industry and the increasing demand for professionals with DevOps skills, enhancing the efficiency of the educational process in this field is clearly crucial. AI offers new opportunities to address key educational challenges, including personalized learning, automation of routine tasks, creation of adaptive learning materials, as well as ensuring interactivity and accessibility of educational resources. The paper proposes approaches to integrating AI tools into the educational process to optimize learning, improve students’ understanding of DevOps principles such as continuous integration (CI), continuous delivery (CD), process automation, containerization, system monitoring, and security. Particular attention is given to the development of interactive platforms for laboratory work, the use of virtual environments for simulating real-life DevOps scenarios, and the implementation of chatbots and automated assessment systems to support students during their studies. The article analyzes the impact of AI technologies on learning outcomes, considering both quantitative and qualitative indicators, including improved practical skills, reduced task completion time, and increased student engagement in studying DevOps-related disciplines. An analysis of existing practices in implementing AI in technical education highlights the main advantages and challenges that educational institutions may encounter. The paper outlines prospects for further AI integration into DevOps teaching, including combining AI with modern cloud services, advancing cognitive technologies capable of natural language understanding, and adopting innovative approaches to organizing the educational environment. The study’s results indicate significant potential for AI to enhance the quality of education and prepare highly skilled specialists in the field of DevOps.