courseraАнализ данных

GenAI for Fraud Detection and Compliance

Курс от Coursera

Средний≈ 6.3 чАнглийский

О курсе

In this course, you will step into the shoes of a compliance officer at a major bank, uncovering how generative AI can transform traditional fraud detection methods. With fraudsters becoming increasingly sophisticated, this course equips you with the essential knowledge and hands-on skills to harness the power of AI in combating financial crime and ensuring regulatory compliance. By blending foundational concepts with practical AI applications, you'll learn how to stay ahead of evolving fraud schemes and protect your organization from significant risks. This course is designed for finance professionals, compliance officers, IT security specialists, data scientists, AI enthusiasts, and risk management professionals. Whether you are experienced in fraud detection or looking to develop new skills in AI, this course provides the knowledge and practical expertise to excel in your role. No extensive AI background is required, but learners should have a basic understanding of AI concepts like machine learning algorithms and neural networks, as well as familiarity with general fraud detection or compliance practices. Experience in data analysis or IT security is a plus but not necessary. Most importantly, a strong interest in applying AI to solve real-world fraud detection challenges is key to success. By the end of this course, you'll have a comprehensive understanding of generative AI and its applications in fraud detection and compliance. You'll develop practical techniques for creating and using generative AI models, analyze advanced fraud detection methods, and evaluate the role of AI governance in ensuring ethical and regulatory compliance. You'll also gain insights into future trends in AI-powered fraud detection, positioning yourself as a leader in the evolving landscape of compliance.