The AI for Business Administration course is designed as an applied and integrative course dedicated to understanding and using artificial intelligence (its limits, opportunities, changes, and impact on the economy and the business world), particularly in modern business administration. The course aims to move beyond a purely technological approach and to position AI as a strategic tool for decision-making, operational optimization, and business model innovation, but especially as support for creativity, idea generation, and validation.

Students will acquire a solid understanding of the main AI concepts and technologies (machine learning, deep learning, natural language processing, robotic process automation, predictive analytics), analyzed from the perspective of their impact on the key functions of an organization: marketing and sales, finance, human resources, customer services, energy, transportation, and real estate, as well as capital attraction and management.

The practical component plays a central role: seminars are built around case studies, simulations, mini-projects, and the use of current tools (LangChain, Python, GitHub, commercial and enterprise AI applications), enabling students to translate theoretical concepts into concrete business solutions. Emphasis is placed on critical thinking, cost–benefit evaluation of AI implementations, governance, ethics, and organizational risks. LLM models, their limitations, differences, implementation costs, and cybersecurity risks will also be discussed.

At the end of the course, students will be able to:

• evaluate opportunities for using AI in business processes;
• formulate functional requirements for AI projects;
• understand the technological limitations and the economic and managerial implications of AI;
• collaborate effectively with technical teams and AI solution providers.