The course explains the role of AI in finance by applying basic ideas to practical examples using user-friendly tools. It applies AI to the concrete aspects of banking, investments, insurance, and risk management and at the same time addresses its limitations.
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Requirements
No minimum educational requirement, but a bachelor’s degree can be beneficial
Outcomes
Understand the role of artificial intelligence in modern finance and financial decision-making
Identify the difference between structured and unstructured financial data
Assess the importance of data quality, accuracy, and reliability in financial analysis
Understand how AI is applied in banking, investments, insurance, and risk management
Explain the use of chatbots, automated lending, fraud detection, and transaction monitoring
Apply basic machine learning concepts such as regression, classification, and clustering
Use Excel, Power BI, Tableau, ChatGPT, Copilot, and Gemini for finance-related tasks
Create financial reports, portfolio summaries, analyses, and professional communications using AI tools
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