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Board Infinity

Generative AI in Finance

Board Infinity

Instructor: Board Infinity

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
3 weeks at 1 hour a week
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.

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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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Instructor

Board Infinity
Board Infinity
164 Courses264,612 learners

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