Description

This course introduces participants to AI-powered fraud detection systems used in banking, finance, insurance, and e-commerce. It covers the end-to-end lifecycle of fraud detection, from data preparation and feature engineering to model building, evaluation, and deployment. Participants will gain hands-on experience with machine learning and deep learning techniques used to detect anomalies and fraudulent behavior in real-world datasets.