Generative artificial intelligence

The Master’s degree program in Generative Artificial Intelligence is designed to train specialists capable of developing, implementing, and optimizing advanced artificial intelligence models, with a focus on generative technologies and natural language processing. Graduates will acquire robust competencies in programming (Python and specialized AI libraries), machine learning, statistical analysis, mathematical modeling and optimization, the development and application of large language models, speech recognition and synthesis, as well as in the design of generative algorithms. Additionally, the program places strong emphasis on the ethical aspects of artificial intelligence, the evaluation of generated content, and human-machine interaction, preparing students for applied research and innovation in the field of generative AI.

The curriculum covers three fundamental categories:

• Technical competencies in the development and implementation of generative AI systems (advanced programming, use of specialized libraries, design, training, and optimization of machine learning models, development and deployment of large language models, etc.);

• Analytical and methodological competencies, including statistical analysis, data visualization, application of optimization techniques, and mathematical modeling;

• Interdisciplinary and ethical competencies, with a focus on the development of human-machine interfaces, understanding the ethical and social implications of generative AI, and building research and innovation skills necessary for creating generative AI solutions applicable across various domains.

Through this comprehensive skill set, graduates will be equipped to become professionals in the field, researchers in generative artificial intelligence, specialists in natural language processing, and architects of advanced AI models, actively contributing to technological progress.

The department responsible for the program:  Computer Science and Systems Engineering.