Artificial Intelligence

Last Updated: 2025-07-02

Content

Goal

This course provides a gentle introduction to artficial intelligence (AI), clarifies multiple AIML techniques and provides a program on how to introduce AI in banking.

Calendar

Lectures and Content

# Lecture Description Downloads Other Resources
1 Introduction to Large Language Models An overview, tailored for managers, of how large language models actually work and what one can expect from them.
2 Introduction Artificial Intelligence This lecture introduces machine learning methods such as Decision Trees, Random Forests, SVM, ANN, KNN, and Clustering. It explains each method’s concepts, strengths, and limitations. The material includes comparative analysis and implementation aspects for supervised and unsupervised techniques.
3 Applications of AI in banking A deep dive about artificial intelligence and how it can be used in banking, including a practical look at pitfalls, methods and company culture.