AI-Enhanced Portfolio Strategies

This unit examines how AI and generative language models inform portfolio management, trading strategies, and business applications within financial services. Students will learn prompt engineering, personalization techniques, and assess regulatory and implementation challenges to prepare for real-world deployment and the capstone unit.

Learning Objectives

• Analyze portfolio management and trading strategies using AI-driven forecasting by interpreting model outputs and comparing AI-informed decisions to traditional approaches in given case studies
• Apply prompt engineering techniques to generate accurate, relevant financial analyses and trading scenarios using large language models, producing reproducible prompts and sample outputs
• Demonstrate personalization of AI tools for client-specific financial planning by constructing tailored prompts, adjusting model parameters, and producing a simulated client brief
• Evaluate regulatory, ethical, and implementation challenges of deploying AI in financial forecasting and business workflows by conducting a risk assessment and recommending mitigation strategies