Transform financial decision-making by learning how artificial intelligence, machine learning, and generative AI are applied across modern finance. This course is designed for learners who want to understand and evaluate AI applications in banking, investment, risk, compliance, and financial operations.

You’ll explore the evolution of AI, financial-market data, predictive and deep-learning models, credit-risk analysis, algorithmic trading, and financial data preparation. You’ll learn to select and evaluate classification, regression, clustering, and time-series models, and apply natural language processing and large language models to analyze financial documents, entities, themes, and sentiment. You’ll also examine responsible AI through fairness, privacy, transparency, explainability, security, human oversight, and regulatory considerations. Explore AI-enabled forecasting, reconciliation, document processing, and fraud detection, then assess generative AI, autonomous agents, privacy-enhancing technologies, and evolving workforce requirements. By the end, you’ll be prepared to evaluate and support responsible AI initiatives that improve financial decision-making and operations while aligning with governance and regulatory expectations.