Curriculum
- 5 Sections
- 25 Lessons
- 2 Days
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- Day 1 – Introduction to AI Driven Fraud Detection5
- 1.1Understanding the evolution of fraud in digital environments
- 1.2Fundamentals of AI and machine learning in fraud detection
- 1.3Types of fraud: financial, identity, transactional, insider threats
- 1.4How AI models detect anomalies and suspicious patterns
- 1.5Overview of cybersecurity frameworks supporting fraud prevention
- Day 2 – Cyber Threats in Automated & AI Enabled Systems5
- Day 3 – Fraud Detection Models & Algorithms5
- Day 4 – Risk Mitigation & Cybersecurity Strategies5
- Day 5 – Case Studies, Tools & Practical Scenarios5
Fundamentals of AI and machine learning in fraud detection
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