Generative AI (GAI) is a powerful technology that enables computers to create new content—such as text, images, or financial data, by learning from existing patterns. Unlike traditional AI, which analyses and processes data, GAI leverages advanced machine learning models to generate realistic outputs that mimic real-world information. In the financial sector, this technology is revolutionizing fraud detection, risk assessment, market forecasting, and trading strategies, making financial systems more efficient, secure, and intelligent.
This course provides a foundational understanding of Generative AI and its transformative role in the financial industry. It covers key AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Autoregressive Models, explaining their applications in financial forecasting, risk management, synthetic data generation, and fraud detection. Additionally, the course explores AI-driven trading strategies, regulatory and ethical considerations, and emerging trends shaping the future of finance.
Through a mix of theoretical insights and practical real-world applications, participants will gain the skills needed to leverage Generative AI for enhancing financial operations, decision-making, and risk.
