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Generative AI in Finance
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.

  • Design effective prompts to enhance AI-driven financial analysis, reporting, and decision-making.

  • Implement generative AI solutions for credit scoring, compliance, and automated audits.

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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

This module provides learners with a solid grounding in Generative AI concepts and their financial applications. It begins by demystifying what Generative AI is and introduces key model types like GANs, VAEs, and LLMs with a specific focus on how they are being adopted in finance. The module progresses into how AI processes both structured and unstructured financial data to derive insights, automate investment decisions, and support portfolio optimization. Learners will also get a hands-on understanding of prompt engineering techniques to interact with AI systems effectively and explore automation scenarios applicable to real-world financial tasks.

What's included

12 videos2 readings5 assignments1 discussion prompt

This module dives deeper into the critical and high-stakes applications of Generative AI in financial services, particularly in risk assessment, fraud detection, credit evaluation, and compliance. Learners will explore how AI models can predict market volatility, uncover fraud patterns using anomaly detection, and automate creditworthiness assessments. The module also highlights AI’s growing role in AML and KYC processes, and how it’s transforming financial reporting and audits. Ethical and regulatory concerns—such as fairness, explainability, and model transparency—are addressed throughout, encouraging learners to apply AI responsibly in real-world financial environments.

What's included

11 videos1 reading4 assignments

Instructor

Board Infinity
Board Infinity
134 Courses227,650 learners

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Board Infinity

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