AI in Risk Management and Fraud Detection
With Glenn Hopper
Liked by 256 users
Duration: 54m
Skill level: Intermediate
Released: 7/11/2025
Course details
In this course, instructor Glenn Hopper examines the role of AI in improving risk management and fraud detection, providing practical solutions for financial challenges. Explore ways to use machine learning techniques for anomaly detection. Learn about using generative AI applications to create automated fraud reports and alerts. Discover hands-on strategies to streamline workflows and level up your decision-making. This course emphasizes practical, hands-on implementation, equipping finance professionals with strategies to streamline workflows, detect anomalies, and enhance decision-making.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Srinivas Peddi
Srinivas Peddi
Cyber Security | Risk Management & Compliance | Data Analyst | Least Privileged Access (LPA) | IAM | MFA
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Suraj Kumar Pandey
Suraj Kumar Pandey
Senior Manager-Fraud Risk Management-|CAMI | JAIIB| AML KYC - IIBF |Ex- SERCO |Ex- FIRSTSOURCE |
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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