GenAI for Fraud Analysts: Improving Detection Efficiency
Completed by Sanjaya Bhandari
March 8, 2026
2 hours (approximately)
Sanjaya Bhandari's account is verified. Coursera certifies their successful completion of GenAI for Fraud Analysts: Improving Detection Efficiency
What you will learn
Analyze the principles of Generative AI and its role in fraud detection and compliance to integrate it into existing workflows.
Apply tools like ChatGPT and Python to identify anomalies, generate synthetic data, and improve fraud detection accuracy.
Design GenAI-driven workflows to streamline compliance tasks, reduce manual effort, and enhance operational efficiency.
Evaluate fraud detection insights and patterns using GenAI tools to make informed decisions and stay ahead of evolving fraud trends.
Skills you will gain
- Category: Data Synthesis
- Category: Data Pipelines
- Category: Automation
- Category: AI Workflows
- Category: AI Integrations
- Category: Risk Management
- Category: Generative AI
- Category: Data Visualization
- Category: Risk Mitigation
- Category: Fraud detection
- Category: ChatGPT
- Category: Anomaly Detection
