The Generative AI in Finance course offers a practical, in-depth introduction to how generative AI is reshaping the financial sector. Designed for finance professionals, analysts, risk officers, AI engineers, and business leaders, this course helps you apply advanced AI models to real-world financial challenges—no prior AI experience required.
Generative AI in Finance
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply generative AI models (GANs, VAEs, LLMs) to financial forecasting, risk assessment, and fraud detection in real-world scenarios.
Design effective prompts to enhance AI-driven financial analysis, reporting, and decision-making for investment and compliance.
Implement generative AI solutions for credit scoring, regulatory compliance, and automated financial audits.
Leverage AI-driven automation and anomaly detection to optimize portfolio management and financial services.
Skills you'll gain
Details to know
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Recently updated!
April 2025
Assessments
9 assignments
Taught in English
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There are 2 modules in this course
Gain a solid grounding in generative AI concepts and their financial applications. This module demystifies generative AI, introducing key models like GANs, VAEs, and LLMs, with a focus on their adoption in finance. You’ll learn how AI processes structured and unstructured financial data to derive insights, automate investment decisions, and support portfolio optimization. Hands-on lessons cover prompt engineering techniques and real-world automation scenarios, giving you practical skills to interact with AI systems for financial tasks.
What's included
12 videos2 readings5 assignments1 discussion prompt
Dive deeper into high-stakes applications of generative AI in financial services, focusing on risk assessment, fraud detection, credit evaluation, and compliance. Learn how AI models predict market volatility, uncover fraud patterns with anomaly detection, and automate creditworthiness assessments. This module also highlights AI’s expanding role in AML, KYC, financial reporting, and audits. Ethical and regulatory concerns—such as fairness, explainability, and transparency—are addressed, preparing you to apply AI responsibly in real-world finance.
What's included
11 videos1 reading4 assignments
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Status: PreviewCoursera Instructor Network
Status: PreviewCoursera Instructor Network
Status: PreviewCoursera Instructor Network
Status: Free TrialUniversity of Illinois Urbana-Champaign
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Frequently asked questions
Yes, this course is designed for finance professionals, analysts, and anyone interested in learning how AI is applied in finance, regardless of prior AI experience.
You’ll learn to apply generative AI models for forecasting, risk assessment, fraud detection, and compliance, and design prompts for AI-driven financial analysis and reporting.
Absolutely. The course uses real-world case studies and hands-on scenarios to show how AI is transforming investment strategies, credit scoring, and regulatory reporting.
More questions
Financial aid available,