
Advanced AI for Financial Portfolio Management
This advanced course focuses on leveraging cutting-edge AI technologies, including deep learning, reinforcement learning, and large language models (LLMs), for sophisticated financial portfolio management. It covers dynamic portfolio optimization, algorithmic trading, risk management, and the integration of financial text analysis to extract market insights. The course is designed for professionals in finance and AI seeking to implement advanced AI-driven strategies to manage and optimize portfolios, predict market movements, and mitigate financial risks.
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Course Duration:
27 hours
Level:
Advanced
Course Objectives
Understand advanced portfolio management concepts and AI techniques in finance.
Apply machine learning, deep learning, and reinforcement learning to optimize portfolio allocation.
Utilise NLP and LLMs for financial text analysis, sentiment analysis, and market prediction.
Implement algorithmic and high-frequency trading strategies using AI.
Develop AI models for advanced risk management and fraud detection.
Explore ethical and regulatory considerations in AI financial applications.
Complete a hands-on capstone project focused on building an AI-driven portfolio management system.

Prerequisites
Strong foundation in financial portfolio management and market theories (e.g., Modern Portfolio Theory, CAPM).
Intermediate to advanced knowledge of machine learning techniques, including deep learning and reinforcement learning.
Proficiency in Python programming for implementing AI models (familiarity with libraries such as TensorFlow, PyTorch).
Familiarity with financial data sources, quantitative analysis, and time-series forecasting.
