AI Finance: Financial Management - AI Driver Series

By Xinde (Cinder) Zhang

Book Overview

AI Finance: Financial Management represents a paradigm shift in financial management education. Rather than training students to compete with AI in analysis, this textbook teaches them to build financial solutions with AI as a collaborator, applying the DRIVER(R) Framework (Define & Discover, Represent, Implement, Validate, Evolve, Reflect) throughout.

The curriculum spans foundational corporate finance concepts-from financial statements and time value of money through capital budgeting, securities valuation, and business valuation-while integrating Python coding, AI-powered problem-solving, and systematic product development.

Students build three progressive mini-projects and a capstone innovation project, creating a portfolio of working financial applications rather than theoretical exercises. The textbook is classroom-tested at Purdue University with multiple sections serving 200+ students.

This textbook prepares students for careers where AI handles routine analysis by emphasizing survival skills: building financial tools, understanding market dynamics, managing capital allocation, and operating AI systematically. The integration of real-world case studies (Apple, Tesla, Netflix, WeWork), hands-on Python labs, and video-based assessment ensures authentic learning and career readiness for modern finance roles.

• Format: Hardcover
• Language: English
• ISBN: 9819832691
• ISBN13: 9789819832699
• Release Date: October 2026
• Publisher: World Scientific Publishing Company
• Length: 420 Pages
• Weight: 2.04 lbs.
• Dimensions: 1.3" x 6.0" x 9.0"