Faculty of Economic and Business Sciences

AI Course for Financial Management

Module I: Introduction to Artificial Intelligence
  1. What is Artificial Intelligence? – Definition of AI, differences between AI, “machine learning” (ML) and “Deep Learning” (DL).
  2. How does it work? – What is an algorithm?, types of learning and main types of algorithms and workflow with AI.
  3. How the role of the finance department is changing. Real-world examples in corporate finance.
  4. Introduction to the concept of AI workflows.

Module II: Financial Automation with AI
  1. Forecasting and Smart Budgeting.
  2. Automation of Reports and Processes.
  3. Financial Optimization.
  4. Risk Analysis.
  5. Fraud and Anomaly Detection.

Module III: Building Financial Solutions with AI
  1. Automation of financial workflows and data preparation.
  2. AI-assisted financial analysis and report generation.
  3. Creating dashboards, apps, and financial agents without programming.

Module IV: AI adoption strategy in the financial sector
  1. Build vs Buy: Is it better to develop or use existing tools?
  2. Direct and indirect costs.
  3. Key success indicators (KPIs).
  4. AI Governance.

Module V: Ethics, Risks and Regulation of AI in Finance
  1. Ethical dilemmas.
  2. Financial data protection and privacy.
  3. Emerging regulations.

Module VI: Skills of the New Financial Professional
  1. Key skills: What AI cannot replace.
  2. Practical no-code tools.

*Special sessions and exams may be scheduled outside of regular class hours, after prior communication with the students.