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Financial Modeling with Generative AI for Finance Professionals & Accountants

What you will learn

Command of Generative AI for Finance

Enhanced Forecasting and Risk Management

Dynamic and Adaptable Modeling

Responsible and Ethical AI Implementation

Description

The world of financial modeling is undergoing a transformative shift with the rise of generative AI. This cutting-edge technology empowers finance professionals and accountants to create more accurate forecasts, conduct robust risk assessments, and build dynamic financial models that adapt to the ever-evolving economic landscape.

This comprehensive course is designed to equip you with the knowledge and skills to harness the power of generative AI in your financial modeling practices. You’ll gain a deep understanding of how generative AI models work and how they offer distinct advantages over traditional AI approaches for financial use cases.

Throughout the course, you’ll explore the integration of financial data with generative AI, learning best practices for data cleaning, preparation, and feature engineering. We’ll delve into advanced forecasting techniques, enabling you to generate realistic financial projections and market scenarios while incorporating external factors.

You’ll master risk assessment and scenario analysis tools empowered by generative AI, empowering you to simulate portfolio risks, stress-test financial models, and prepare for various market conditions.


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The course emphasizes the ability to construct dynamic financial models that can adapt in real-time. You’ll learn how these models enhance budgeting, investment analysis, and financial reporting for better decision-making.

Finally, we’ll address the critical aspects of responsible and ethical AI in finance. You’ll develop the ability to identify and mitigate biases in your generative financial models while ensuring fairness, transparency, and accountability in the application of AI.

This course is ideal for finance professionals and accountants who are eager to leverage next-generation technologies to streamline modeling, enhance forecasting, improve risk management, and drive better financial outcomes.

English
language

Content

Generative AI Foundations for Finance

what is Generative AI?
Key Components of generative AI models (GANs, VAEs, diffusion models)
Distinguishing generative AI from traditional AI for financial use cases.
Practical applications within accounting and financial decision-making.

Integrating Financial Data with Generative AI

Understanding key financial data sources
Best practices in cleaning and preparing financial data for generative models
Feature engineering for optimal performance in financial generative AI models
Quiz on Section 1 & 2

Advanced Forecasting with Generative AI

Generating time series forecasts with enhanced accuracy using generative models.
Creating realistic financial projections and market scenarios.
Integrating macroeconomic factors and external data into forecasts with genAI

Robust Risk Assessment & Scenario Analysis

Simulating portfolio risks and stress tests using generative approaches.
Comprehensive scenario analysis for proactive risk mitigation.
Evaluating financial models under diverse market conditions with generative AI.
Quiz on Section 3 & 4

Dynamic Financial Modeling in Practice

Building adaptable financial models for accounting and financial decision-making
Real-time data integration into generative financial models
Applications in budgeting, investment analysis, and financial reporting

Responsible AI in Finance

Identifying and mitigating bias in generative financial models.
Ensuring fairness, transparency, and accountability
Best practices and guidelines for responsible AI
Quiz on Section 5 & 6

Practical Tools for Financial Modelling with Generative AI

chatGPT for financial modelling
Assignments