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AI-Powered Scenario Analysis

AI-Powered Scenario Analysis

Advanced · Level 3 · 2h 30min · 7 modules. Apply generative AI to build, stress-test and communicate financial scenarios — base case, cost volatility and demand shift — with a full Egyptian FMCG case study, Monte Carlo simulation and AI governance.

7,500.00 LE
7500.0 EGP 7,500.00 LE
7,500.00 LE
Add to Cart
Responsible Rehaf Foula
Last Update 10/24/2026
Completion Time 15 hours
Members 1
Advanced
  • Module 1 — Getting Started
    4Lessons · 43 min
  • Module 2 — Introduction to Scenario Analysis
    5Lessons · 1 hr 28 min
    • What Scenario Analysis Is — and Is Not
      New 10 xp
    • Drivers, Assumptions, Cases and Probabilities
      New 10 xp
    • Shock Scenarios in Regional Corporate Finance
      New 10 xp
    • Interactive Exercise 1 — Build a Coherent Scenario
      New
    • Narrated Video Scripts — Module 2
      New
  • Module 3 — Role of AI in Scenario Analysis
    6Lessons · 3 hr 12 min
    • The Role of AI and Traditional Analytics
      New 10 xp
    • Generative AI and the Finance Workflow
      New 10 xp
    • Modern Multimodal LLM Capabilities
      New 10 xp
    • Traditional AI, Generative AI and BI Tools
      New 10 xp
    • Interactive Exercise 2 — Choose the Right Tool
      New
    • Narrated Video Scripts — Module 3
      New
  • Module 4 — Leveraging Generative AI for Strategic Scenario Analysis
    15Lessons · 4 hr 55 min
    • Case Study Overview and Working Materials
      New 10 xp
    • Preparing Data for Scenario Analysis
      New 10 xp
    • Building a Baseline Forecast
      New 10 xp
    • From Data to Visualisation
      New 10 xp
    • Forecasting Revenue, COGS and Operating Expenses
      New 10 xp
    • Understanding and Documenting Assumptions
      New 10 xp
    • Scenario Analysis Techniques
      New 10 xp
    • Analysing Visualisations
      New 10 xp
    • Attention Mechanisms and Context Windows
      New 10 xp
    • Generating Output Scenarios — Base Case
      New 10 xp
    • Scenario 2 — Cost Volatility and Forecast Comparison
      New 10 xp
    • Scenario 3 — Demand Shift
      New 10 xp
    • Building a Linked Three-Statement Model with AI
      New 10 xp
    • Interactive Exercise 3 — Assemble the Full Analysis
      New 10 xp
    • Narrated Video Scripts — Module 4
      New
  • Module 5 — Enhancing Scenario Analysis and Risk Assessment with Generative AI
    4Lessons · 1 hr 16 min
    • Why Scenario Analysis Matters for Risk
      New 10 xp
    • Monte Carlo Simulation with Generative AI
      New 10 xp
    • Future AI Trends in Finance and Accounting
      New 10 xp
    • Narrated Video Scripts — Module 5
      New
  • Module 6 — Course Summary
    3Lessons · 48 min
    • The End-to-End AI-Assisted Scenario Method
      New 10 xp
    • AI Governance, Data Privacy and Staying Current
      New 10 xp
    • Narrated Video Scripts — Module 6
      New
  • Module 7 — Final Assessment
    4Lessons · 2 hr 39 min
    • Advanced Final Exam — Part 1: Foundations and AI Roles
      New 10 xp
    • Advanced Final Exam — Part 2: Case Modelling
      New 10 xp
    • Advanced Final Exam — Part 3: Risk, Monte Carlo and Governance
      New 10 xp
    • Capstone Assignment — Board-Ready Scenario Analysis
      New

Course overview

An advanced professional course for financial analysts, FP&A and corporate finance professionals and decision-makers in Egypt and the Middle East. Published by IGBS-SBDG, it uses an original running case of a mid-sized Egyptian FMCG manufacturer to build an AI-assisted scenario-analysis workflow around EGP volatility, inflation, energy costs and demand shifts. The guided core path is approximately 2 hours 30 minutes; optional deep dives and capstone completion take additional time.

Learning objectives

  • Understand the key components and importance of scenario analysis in corporate finance
  • Recognize how AI transforms scenario analysis and where it adds the most value
  • Use generative AI (ChatGPT, Claude) for data analysis and scenario modelling
  • Run a full AI-assisted scenario analysis on an Egyptian FMCG case study (base case, cost volatility, demand shift)
  • Connect scenario analysis to risk assessment, including Monte Carlo simulation
  • Explore emerging AI trends in finance and accounting
  • Build a governance, data-privacy and staying-current plan for AI in finance

Who should take this course

Financial analysts, FP&A and corporate finance professionals, and decision-makers in Egypt and the Middle East.

Prerequisites

Financial accounting, basic AI literacy and confident Excel skills. Recommended: AI-Enhanced Financial Analysis.

Course details

  • Level: Advanced (Level 3)
  • Guided learning time: 2h 30min (plus optional deep dives and capstone)
  • 7 modules · 34 lessons and exercises · 3-part final exam · capstone assignment
  • Tools: ChatGPT or Claude, Excel; optional Python/Jupyter