Artificial Intelligence for Finance

AI for Finance

Harness the power of artificial intelligence and machine learning, including the latest in generative AI, to transform financial decision-making. This hands-on course is designed for professionals working in banks, asset management firms, hedge funds, and fintech, as well as policymakers, personal investors, and students in finance, statistics, computer science, or related fields. You'll learn how AI and ML are reshaping algorithmic trading, risk management, credit modeling, underwriting, and portfolio management, while gaining the practiccal skills to deply these tools yourself.

Throughout the course, you'll explore AI methods from time-series forecasting through deep neural networks, natural langugae processing, and leading generative AI models like ChatGPT and LLaMA n modern finance. Using open-source Python and TensorFlow packages, you'll build, test, and refine real AI and ML solutions that can be directly applied to financial challenges.

Course Benefits & Outcomes:

• Apply AI in Finance - Implement supervised, unsupervised, and deep learning models for trading, portfolio management, credit risk assessment, fraud detection, and sentiment analysis. 
• Leverage Real-World Financial Data - Identify, analyze, and integrate diverse data sources for predictive modeling and decision support. 
• Match AI Methods to Financial Problems - Determine which algorithms best solve specific finance challenges, from time-series to applications. 
• Build and Evaluate Models with Python/TensorFlow - Design, implement, and optimize AI models using industry-standard, open-source tools.
• Communicate and Act on Insights - Translate model outputs into actionable strategies and measurable business impact.