By the end of this training course, participants will be able to:

• Understand how AI and ML are transforming risk and fraud detection
• Develop predictive models to identify and prevent fraudulent activities
• Apply data analytics and anomaly detection techniques to real-world cases
• Integrate AI solutions into existing risk management frameworks
• Ensure transparency, ethics, and data governance in AI-driven systems
• Evaluate and optimize model performance for continuous improvement

1. Introduction to AI and Machine Learning in Risk Management
2. Understanding Financial and Cyber Fraud Ecosystems
3. Data Analytics and Anomaly Detection Techniques
4. Predictive Modeling and Real-Time Risk Intelligence
5. Deep Learning, NLP, and Automation in Fraud Detection
6. AI Integration with Governance and Compliance Frameworks
7. Ethical AI Practices, Data Privacy, and Model Validation
8. Case Studies and Strategic Implementation Workshops