Applied AI for Financial Portfolio Management
This introductory course explores the use of Artificial Intelligence (AI) and Large Language Models (LLMs) in financial portfolio management. It covers the basics of machine learning, deep learning, and natural language processing (NLP) applied to portfolio optimization, trading strategies, risk management, and financial text analysis. The course is designed for individuals looking to gain a foundational understanding of how AI can enhance decision-making and portfolio management in finance.
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Course Duration:
27 hours
Level:
Beginner to Intermediate
Course Objectives
Gain foundational knowledge of AI and its applications in finance.
Understand the basics of financial portfolio management and asset allocation.
Learn how machine learning and NLP can be used to improve market predictions and optimize portfolios.
Explore simple AI models for portfolio optimization and risk management.
Get hands-on experience with financial data analysis and building basic AI models.
Introduce the concept of algorithmic trading and its implementation using AI.
Prerequisites
Basic understanding of financial markets and portfolio management.
Familiarity with Python programming (basic knowledge of libraries like NumPy and Pandas).
No prior experience in AI or machine learning is required.
