Generative AI in Finance

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Generative AI in Finance

Instructor: Board Infinity

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2 modules

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

2 modules

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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There are 2 modules in this course

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.

In Module 1, you will build a solid grounding in generative AI concepts and their financial applications. This module demystifies what generative AI is, introduces core models such as GANs, VAEs, and LLMs, and shows how AI processes both structured and unstructured financial data to drive insights, automate investment decisions, and support portfolio optimization. You’ll also gain hands-on experience with prompt engineering and explore automation scenarios relevant to real-world financial tasks. Module 2 covers advanced applications of generative AI in financial services, focusing on risk assessment, fraud detection, credit evaluation, and compliance. You’ll learn how AI models predict market volatility, uncover fraud patterns using anomaly detection, and automate creditworthiness assessments. The module also highlights AI’s growing role in AML, KYC, financial reporting, and audits, while addressing ethical and regulatory concerns such as fairness, explainability, and transparency. Top skills you’ll gain: 1. Generative AI (GANs, VAEs, LLMs) for forecasting, risk, and fraud detection 2. Prompt engineering for financial analysis and decision-making 3. AI solutions for credit scoring, compliance, and automation 4. Anomaly detection, portfolio optimization, and regulatory compliance This course equips you with the practical skills and strategic insights needed to leverage generative AI for smarter, more efficient financial operations. Whether you’re upskilling, pivoting to fintech, or leading digital transformation, you’ll be ready to apply AI confidently and responsibly in modern finance.

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

12 videosTotal 53 minutes

Introduction to the Course2 minutesPreview module
Meet your Instructor1 minute
What is Generative AI? (Overview and Key Concepts)4 minutes
Types of Generative AI Models Used in Finance5 minutes
Real-World Applications of AI in Finance6 minutes
AI in Financial Data Analysis5 minutes
AI-Generated Investment Insights4 minutes
Portfolio Optimization with Generative AI (AI-Driven Asset Allocation)5 minutes
Time Series Forecasting with Generative AI (Using Macroeconomic Data)4 minutes
Growing Importance of AI in Fraud Detection3 minutes
Introduction to Prompt Engineering for Finance5 minutes
Transforming Financial Automation with AI3 minutes

2 readingsTotal 20 minutes

Syllabus5 minutes
Read more about Applications, Innovations, and Future Directions in Generative AI in Finance15 minutes

5 assignmentsTotal 70 minutes

Practice Quiz: Introduction to Generative AI in Finance10 minutes
Practice Quiz: AI-Powered Financial Analysis & Decision Making10 minutes
Practice Quiz: AI for Advanced Forecasting & Risk Assessment10 minutes
Practice Quiz: Prompt Engineering for Financial Applications10 minutes
Graded Quiz: Foundations of Generative AI in Finance30 minutes

1 discussion promptTotal 10 minutes

Meet and Greet10 minutes

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

11 videosTotal 55 minutes

AI for Risk Prediction in Financial Markets5 minutesPreview module
AI-Driven Fraud Detection & Prevention5 minutes
AI-Based Credit Scoring & Loan Risk Evaluation5 minutes
Enhancing Financial Compliance with AI4 minutes
Ethical Challenges in AI-Driven Risk Management5 minutes
Transforming Financial Reporting with AI4 minutes
AI-Powered Audits & Regulatory Compliance5 minutes
Addressing Ethical and Regulatory Issues in AI Applications5 minutes
Emerging Trends in AI-Driven Financial Innovation5 minutes
Understanding Large Language Models (LLMs) and Their Impact on Finance5 minutes
Course Closure - Gratitude !1 minute

1 readingTotal 15 minutes

Read more about Artificial Intelligence in Financial Risk Management: Predictive Models, Fraud Detection & Forensic Insights15 minutes

4 assignmentsTotal 60 minutes

Practice Quiz: AI in Risk Assessment and Fraud Detection10 minutes
Practice Quiz: AI-Powered Financial Reporting and Compliance10 minutes
Practice Quiz: The Future of Generative AI in Finance10 minutes
Graded Quiz: Advanced Applications and Risk Management with Generative AI30 minutes

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Instructor

Board Infinity

164 Courses264,612 learners

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Board Infinity

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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.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.