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Artificial Intelligence for Financial Modeling
Rating: 4.3 out of 5(2 ratings)
6 students

Artificial Intelligence for Financial Modeling

Build AI-powered financial models, automate analysis, and turn spreadsheets into predictive decision tools.
Created bySimon Sez IT
Last updated 3/2026
English

What you'll learn

  • Distinguish between AI reasoning and execution engine functions.
  • Implement AI-assisted workflows for financial data processing.
  • Structure spreadsheets with AI-native architecture principles.
  • Build digital twins to transform static spreadsheets.
  • Develop specialized AI agents for consistent financial tasks.
  • Create and deploy custom GPTs to standardize transaction data.
  • Perform AI-enhanced two-layer variance analysis.
  • Utilize AI for automated financial ratio analysis and benchmarking.
  • Generate realistic financial scenarios using AI narratives.
  • Integrate customer sentiment analysis into sales forecasts.
  • Extract and load multi-source unstructured data for analysis.
  • Construct adaptive multi-layer AI financial models.

Course content

7 sections • 28 lectures • 2h 8m total length

  • Introduction to AI Native Financial Modeling2:29
  • WATCH ME: Essential Information for a Successful Training Experience2:11
  • DOWNLOAD ME: Course Files0:23
  • DOWNLOAD ME: Exercise Files0:23
  • DOWNLOAD ME: Course Prompt File0:22

Requirements

  • Basic familiarity with Microsoft Excel, including navigating spreadsheets and using simple formulas.
  • A computer with Microsoft Excel (or a similar spreadsheet application) installed.
  • Access to an AI tool such as ChatGPT or another generative AI platform.
  • Basic understanding of financial concepts (such as revenue, expenses, and profit) is helpful but not required.
  • A willingness to explore AI-assisted workflows and modern financial analysis techniques.

Description

This course includes downloadable course instructor files, exercise files, and a prompt file to work with and follow along.


Artificial Intelligence for Financial Modeling is designed to revolutionize how you approach financial analysis by harnessing the power of AI. This course teaches you how to use artificial intelligence to improve financial modeling. You will learn to transform traditional spreadsheets into dynamic, predictive business tools.


Understand how to distinguish between execution engines like Excel, which handle precise calculations, and reasoning engines like ChatGPT, which interpret qualitative data. The course shows you how to integrate these tools into an efficient workflow. Factoring in context, structuring data with AI, executing calculations, and reviewing results.


Learn how to build AI-friendly financial models by organizing data clearly and using named ranges. The course guides you through creating realistic financial scenarios using AI, moving beyond static numbers to dynamic predictions. You'll learn to use AI for sensitivity analysis, focusing on key variables like sales and costs.


In addition, the course teaches you to build custom AI agents to automate repetitive tasks and ensure consistent outcomes. You'll also apply AI for in-depth variance and ratio analysis, understanding 'why' financial changes occur.


Explore how to integrate diverse data sources, including unstructured text and external market signals, to enhance your models. The course also addresses important AI risks, such as data leakage and over-reliance, and provides strategies for human oversight and validation. By the end, you will have been taught the techniques to transform financial reporting into a strategic tool that supports data-driven decision-making.


In this course, you’ll learn how to:

  • Distinguish between AI reasoning and execution engine functions.

  • Implement AI-assisted workflows for financial data processing.

  • Structure spreadsheets with AI-native architecture principles.

  • Build digital twins to transform static spreadsheets.

  • Develop specialized AI agents for consistent financial tasks.

  • Create and deploy custom GPTs to standardize transaction data.

  • Perform AI-enhanced two-layer variance analysis.

  • Utilize AI for automated financial ratio analysis and benchmarking.

  • Generate realistic financial scenarios using AI narratives.

  • Integrate customer sentiment analysis into sales forecasts.

  • Extract and load multi-source unstructured data for analysis.

  • Construct adaptive multi-layer AI financial models.


This course includes:

  1. 120+ minutes of video tutorials

  2. 24 individual video lectures

  3. Course, Exercise, and Prompt Files to follow along

  4. Certificate of completion

Who this course is for:

  • Finance professionals and analysts who want to enhance their financial modeling with AI tools.
  • Accountants and financial managers looking to automate analysis and improve financial insights.
  • Business analysts and consultants who want to integrate AI into data-driven decision-making.
  • Entrepreneurs and business owners who want to build smarter financial forecasts and scenarios.
  • Students and aspiring finance professionals interested in modern financial modeling techniques using AI.
  • Excel users who want to transform traditional spreadsheets into dynamic, AI-assisted financial models.

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