Knowledge of object-oriented programming principles (in any language), fundamentals of algorithmization, ability to mathematically formulate technical problems, and basic orientation in artificial intelligence principles and tools (completion of the SIS course or equivalent experience).

The course assessment consists of points for a semester project (presentation of a complex system and defense of the architecture created in cooperation with AI) (70%) and points for regular independent tasks from exercises (30%). A condition for obtaining credit is earning at least 50% of the points from the semester project. Special credit may be awarded for active contribution during lessons.

Attendance at lectures is recommended, while attendance at exercises is 100% mandatory. Teaching follows the weekly schedule. The method for making up missed exercises is entirely at the discretion of the instructor.

To introduce students to the role of a solution architect in the AI era and teach them methods for effectively managing the development of complex systems in a multi-language environment. To teach advanced problem decomposition, verification techniques, technical auditing of generated code, and work within modern development environments. To familiarize students with multi-agent system architectures, semantic engineering, and the principles of on-device AI and hybrid computing systems.

Students will gain knowledge in the field of algorithmic engineering and cooperation with LLM models. They will learn to design the architecture of mathematical solutions, effectively integrate various technologies into functional units, and utilize AI for rapid prototyping as well as the optimization of computationally intensive algorithms while maintaining technical correctness.

• Programme N-MAI-P Master's 1 year of study, summer semester, compulsory-optional