Bring AI to the finance function with the rigor finance demands. Forecasting and planning, risk and fraud, generative analysis, and the model governance that lets you actually trust it. Eight modules, one a week.
Start the courseThe arc mirrors the foundation course and ends where finance cares most: trust. Module 6, model risk and governance, is the differentiator a research finance chair is uniquely placed to teach.
Where AI creates value across finance, and where it does not.
Financial data quality, the modern finance data stack, and governance.
Predictive forecasting, driver-based models, and scenario planning.
Analysis, reporting, and research with a finance copilot, with guardrails.
Credit and market risk, fraud, and the controls around them.
Validation, explainability, and what regulators expect. The trust module.
The autonomous close, reconciliation, treasury ops, and what to keep human.
Auditability, ethics, governance, and the capstone: your AI-in-finance roadmap.
Eight modules in the same interactive online style as the rest of the platform.
An AI-in-finance roadmap for your organization: the highest-value use cases, the data and controls they need, and a model-governance plan that survives an audit.
Built module by module, so the certificate is also a board-ready deliverable.
Chair, Department of Finance · Miami Herbert Business School
Finance PhD from Wharton, with prior fixed-income roles at Citadel and Citigroup and repeated teaching awards in the MS in Finance. He brings research rigor and trading-desk experience to the question finance leaders face now: how to adopt AI you can actually trust.
Pair this specialization with the foundation course to build real depth in AI for finance. It complements Miami Herbert's executive-education certificates.