AI for finance in the USA equips finance professionals with skills to apply artificial intelligence across financial analysis, accounting, reporting, planning, risk management, fraud detection, and compliance. The course introduces AI tools and workflows that can support financial tasks while emphasizing accuracy, review, governance, and professional accountability.
Learners explore AI-assisted data analysis, forecasting, financial statements, bookkeeping, budgeting, scenario modeling, investment research, fraud detection, AML processes, and risk assessment. They also develop prompting, workflow design, data evaluation, and AI review skills for finance-related activities.
The course addresses responsible AI use in US financial environments, including customer data protection, model risks, auditability, algorithmic bias, and regulatory considerations. FINRA highlights accuracy, privacy, bias, intellectual property, model risk, AML, customer information protection, and vendor management as areas firms should consider when deploying AI. Learners finish with guidance for selecting tools, establishing controls, measuring results, and developing a finance AI strategy.
