Course Description:

This course provides a comprehensive exploration of Generative AI and its transformative impact on the financial sector. Learners will delve into foundational concepts, key AI models, and their applications across financial analysis, decision-making, forecasting, and compliance. With a focus on real-world case studies and hands-on scenarios, the course unpacks how technologies like GANs, LLMs, and prompt engineering are reshaping investment strategies, fraud detection, credit scoring, and regulatory reporting. From AI-driven automation to ethical and regulatory challenges, this course equips learners with practical skills and strategic insights to leverage Generative AI effectively within the evolving landscape of modern finance. Target Audience: -Finance Professionals & Analysts – Seeking AI-driven insights and automation in financial operations. -Risk & Compliance Officers – Understanding AI’s role in fraud detection and regulatory adherence -Investment Managers & Traders – Using AI for predictive modeling and market trend analysis. -AI Engineers & Data Scientists – Developing and optimizing AI models for finance applications. -Business Leaders & Product Managers – Integrating AI strategies into financial services and fintech solutions. Learning Objectives: - Apply generative AI models (GANs, VAEs, LLMs) to financial forecasting, risk assessment, and fraud detection. - Design effective prompts to enhance AI-driven financial analysis, reporting, and decision-making. - Implement generative AI solutions for credit scoring, compliance, and automated audits. Module 1: Foundations of Generative AI in Finance This module provides learners with a solid grounding in Generative AI concepts and their financial applications. It begins by demystifying what Generative AI is and introduces key model types like GANs, VAEs, and LLMs with a specific focus on how they are being adopted in finance. The module progresses into how AI processes both structured and unstructured financial data to derive insights, automate investment decisions, and support portfolio optimization. Learners will also get a hands-on understanding of prompt engineering techniques to interact with AI systems effectively and explore automation scenarios applicable to real-world financial tasks. Module 2: Advanced Applications and Risk Management with Generative AI This module dives deeper into the critical and high-stakes applications of Generative AI in financial services, particularly in risk assessment, fraud detection, credit evaluation, and compliance. Learners will explore how AI models can predict market volatility, uncover fraud patterns using anomaly detection, and automate creditworthiness assessments. The module also highlights AI’s growing role in AML and KYC processes, and how it’s transforming financial reporting and audits. Ethical and regulatory concerns—such as fairness, explainability, and model transparency—are addressed throughout, encouraging learners to apply AI responsibly in real-world financial environments.