Finance and accounting teams are under growing pressure to work faster, handle more data, and maintain rigorous accuracy and compliance. AI agents offer a practical way to support these demands by coordinating analysis, document processing, research, reconciliation, and reporting tasks. This foundational course gives you a clear, grounded understanding of how AI agents can be applied in financial and accounting workflows without treating automation as a replacement for professional judgment. You will learn how AI agents differ from chatbots and conventional automation, how to identify suitable finance use cases, and how to map an agent's goals, tools, inputs, outputs, and approval points. The course also covers reliable prompting for financial tasks, connecting agents to structured data and business tools, validating calculations and source information, and designing human-in-the-loop controls for sensitive decisions. You will examine practical workflows such as invoice review, transaction classification, variance analysis, financial research, and management reporting. This course is designed for accountants, finance professionals, auditors, controllers, analysts, operations leaders, and technology practitioners who want to understand AI agents in a finance context. No advanced programming or machine learning background is required, although familiarity with spreadsheets, financial statements, or standard accounting processes will help you get the most from the material. Build the foundation you need to evaluate AI agent opportunities responsibly and design your first finance-focused workflow with confidence. Start learning today.