Financial Modeling and Valuation Course with AI and Excel

From Financial Statement Analysis and 3-Statement Modeling to WACC, DCF, CCA, and Valuation Reports with AI Prompting

This financial modeling and valuation course teaches you how to read filings, analyze financial statements, build forecast models, calculate WACC, apply DCF and CCA, and write valuation reports with AI and Excel.

You will learn how to connect financial statement analysis, 3-statement financial modelling, WACC, DCF, comparable company analysis, sensitivity analysis, and valuation report writing into one complete investment valuation training workflow.

This financial modeling and valuation course includes the following 7 courses:
● Course I.   Valuation Fundamentals + AI & Excel Functions
● Course II.  Financial Statement Analysis — also available separately
● Course III. 3-Statement Financial Modeling — also available separately
● Course IV.  Calculate WACC and Make Smarter Investment Decisions
● Course V.   Discounted Cash Flow (DCF) Analysis
● Course VI.  Comparable Company Analysis (CCA)
● Course VII. Turn Valuation Work into a Professional Report

 Course Highlights
271 learning modules across 105 lessons in 7 topics covering the full valuation workflow
● 353 quizzes, 24 tasks, 13 templates, 3 AI simulations, 3 Excel tasks, and 1 valuation report task
● Learn financial statement analysis, 3-statement modelling, WACC, DCF, CCA, and report writing
Apply AI prompting for financial modelling across extraction, forecasting, and report drafting
● Build investment valuation training judgment through real filings, and Excel models
 
Course Level
Beginner to Advanced
 
Prerequisites
No prior valuation experience required.
Basic accounting knowledge is helpful.

What You Will Achieve
● Read 10-K filings and extract FCFF drivers, credit signals, and valuation adjustment items
● Build a three statement financial model and verify EPS, EBITDA, and FCF across all linkages
● Calculate WACC, CAPM, and NVIDIA data to produce a defensible discount rate
● Run a DCF and CCA model on Google and reconcile the gap between intrinsic and market value
● Write a professional valuation report with concluded value, sensitivity, and IC rationale
Use AI prompts safely to extract, organize, verify, audit, and explain financial outputs

Templates
● 1. MSFT Financial Analysis Excel Model
● 2. Industry-Specific FS Analysis Template
● 3. AI Prompt Playbook for Financial Analysis
● 4. NVDA 3-Statement Modeling Template
● 5. TVM to DCF Excel Model
● 6. Excel Foundations for Valuation Template
● 7. Valuation Prompt Engineering Encyclopedia
● 8. NVIDIA WACC Model
● 9. NVIDIA Beta Calculation Model
● 10. DCF Modeling Template
● 11. NVIDIA CCA Model
● 12. NVIDIA Full Valuation Model
● 13. NVIDIA Valuation Report Template

AI-Powered Financial Statement Analysis Practice Task
● 1. AI Simulation 1 — Financial Statement Deal Analysis Lab: evaluate SignalWorks Analytics
● 2. AI Simulation 2 — ArcLight Semiconductor IC Pressure Test: defend a 3-statement forecast
● 3. AI Simulation 3 — HelioGrid Acquisition Valuation: defend WACC, DCF, CCA, and bid range
● 4. Excel Task 1 — NVIDIA FS Ratio Modeling: 1-sheet financial statement analysis model
● 5. Excel Task 2 — Alphabet Mini Financial Modeling: one-sheet income statement to FCF
● 6. Excel Task 3 — Alphabet One-Sheet Valuation Model: FCF table, WACC, DCF, and CCA
● 7. Report Task 1 — Alphabet Abbreviated Valuation Report: 2–3 page DCF, CCA, and its value
 
Who Should Take This Course?
Equity research analysts | Investment analysts | Corporate finance and strategy teams | M&A, IB, PE, and VC candidates | Professionals preparing for valuation or credit roles | University students and job seekers preparing for finance, investment, valuation, or corporate finance careers
 
Duration
Complete this financial statement analysis course within 12 months, with unlimited access
● 105 lessons with 271 learning modules, 353 quizzes, 24 tasks, and 13 templates
● Each module designed for 20~30 minutes of focused study
● Total estimated learning time: approximately 120~160 hours
● Completable within 8~10 months at 3~4 hours per week

Original price was: $399.5.Current price is: $199.5.
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Rated 5 out of 5 based on 3 customer ratings
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Financial Modeling and Valuation Course Structure

A Practical Learning Flow Built from Fundamentals to Valuation Report

This financial modeling and valuation course turns filings, statements, forecasts, WACC, DCF, CCA, and reports into valuation judgment.
You will apply AI promptingelling at every stage, from filing extraction to DCF models, CCA tables, and valuation reports.
5-Stage Learning Cycle: Concept Study → Retention Quiz → Skill-Building Task → Template Reviews → AI Simulation, Excel Model & Report
You will build the practical judgment to read and analyze financials, forecast cash flows, calculate WACC, and defend concluded value.
Every section builds toward real valuation workflow, from 10-K interpretation to investment memo and valuation report writing.
m&a courses

How the Course Is Structured

7 courses → 105 lessons → 271 structured learning modules
353 quizzes to reinforce practical analytical & financial judgment
Each module designed for 20~30 min with quizzes and selected applied tasks
Unlimited access for 12 months across all devices
online m&a course icon

Differentiated Learning Materials

Visually structured written content optimized for fast comprehension
All lessons downloadable in PDF
Applied tasks based on 10-K, Yahoo Finance data, Excel, and AI
13 templates: NVDA DCF Model, Valuation Report, MSFT FS Model, AI Prompt Playbook, and 9 more
ai powered online m&a training

AI Simulation, Excel, and Report

Apply your knowledge across 3 AI simulations, including HelioGrid Acquisition
Complete 3 Excel tasks across NVIDIA FS ratios, Google mini modeling, and its 1-sheet valuation
Write an Alphabet abbreviated valuation report using DCF, CCA, sensitivity, and concluded value

Our Learning Interface

Investment Valuation Made Structured, Visual, and Analyst-Ready

financial modeling and valuation course

Our learning interface is engineered to convert complex valuation theory and financial data into analyst-grade judgment — across every stage of this financial modeling and valuation course.

  1. Scientifically Designed Three-Layer Interface

    Every lesson in this corporate valuation course follows a three-layer learning structure designed to help learners understand complex concepts quickly and intuitively.
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    # Left Panel: Structured Written Content
    Carefully edited bullet points guide you through each concept with clarity. Even reading the text alone ensures full comprehension. As the audio plays, your eyes naturally follow along, reinforcing understanding through synchronized reading and listening.
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    # Right Panel: Visual Infographics or Workflow Demonstrations
    Visual Infographics and Valuation Walkthroughs Colorful diagrams translate abstract valuation logic. Where AI is applied, screen walkthroughs show the exact prompt, the output, and the analyst's verification step.
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    # Bottom: Audio Narration with Real-Time Subtitles
    Live subtitles appear word-by-word as you listen. Adjust playback speed (0.5x to 2x) to match your learning pace. Fullscreen mode available for immersive focus.
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  2. Practical Application Quizzes
    What you learn in the lesson becomes yours through targeted quizzes. Each question is designed with valuation and modeling scenarios, testing not just knowledge, but your ability to apply forecast logic, statement linkage, and analyst judgment in practice.
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  3. Applied Financial Analysis Tasks

    Turn each lesson into analyst work. Complete focused tasks using 10-K filings, AI prompts, Excel models, peer data, and report outputs to calculate WACC, project FCFF, read a Comps table, and write valuation report conclusions. This financial modeling and valuation course is built so that every task produces a usable analyst output.

The result? You don't just understand valuation. You execute it — from DCF to Comps to a professional report —
completing this financial modeling and valuation training with the discipline of a working analyst.

Financial Modeling and Valuation Course Curriculum

271 learning modules across 105 lessons in 7 courses → 353 Quizzes → 24 Tasks → 13 Templates → AI-Powered Practice

This financial modeling and valuation course walks through the investment valuation workflow used by equity research, M&A, and PEs.
Begin with Valuation Fundamentals and AI/Excel Functions → then advance through FS Analysis and 3-Statement Modeling.
Progress through WACC Construction → DCF Analysis → Comparable Company Analysis → a Professional Valuation Report.
The curriculum mirrors the corporate valuation procedure used by investment analysts, M&A teams, and valuation professionals.
Each course builds valuation judgment through Excel models, AI prompts, quizzes, templates, simulations, and report writing.

Course Content

🏗️ Course I. Valuation Fundamentals and Basic AI and Excel functions
6. How Valuation Works Differently in Equity Research and M&A
7. Time Value of Money for Real Valuation Work
8. Build Your First DCF Model Step by Step in Excel
9. Excel Skills Every Valuation Analyst Needs
10. Use AI as a Valuation Accelerator
11. Master Prompt Engineering for Financial Modeling
12. How to Get AI Outputs You Can Actually Trust
13. Your AI Prompt Library for Real Valuation Work
📊 Course II. Financial Statement Analysis with AI and Excel
2. What the 3 Financial Statements Actually Tell You
3. Decoding 10-K Reports Faster with AI
4. Income Statement Structure and Key Insights
5. How Analysts Judge the Quality of Revenue
6. Decoding Cost Structure and Operating Leverage
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Section Description

This course is structured into 7 topics:

🏗️ Course I. Valuation Fundamentals + AI & Excel Functions

Build the foundation for valuation judgment before moving into financial statements, forecasting, WACC, DCF, CCA, and report writing.

  • Separate value from price, define real valuation purposes, and understand when analysts use valuation in equity research, M&A, IPOs, fundraising, and internal decision-making
  • Learn EV (Enterprise Value), Equity Value, valuation method selection, time value of money, and the Excel logic behind the first DCF model
  • Apply AI as a valuation accelerator using structured prompts, trust verification, and a ready-to-use prompt library

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📊 Course II. Financial Statement Analysis Course

Understand how analysts read income statements, balance sheets, cash flow statements, and 10-K filings before valuation begins.

  • Connect financial statement analysis to earnings quality, FCF, valuation multiples, DCF inputs, credit risk, and deal judgment
  • Analyze revenue quality, cost structure, liquidity, working capital, net debt, ROIC, DuPont, and valuation signals
  • Use AI to extract filing data, clean Yahoo Finance tables, calculate ratios, detect red flags, and write analyst commentary

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📑 Course III. 3-Statement Financial Modelling Course

Turn business research and historical financials into a forecast model that produces EPS, EBITDA, FCF, and valuation-ready outputs.

  • Translate products, customers, pricing, volume, industry forces, and cost structure into forecast assumptions
  • Build revenue, CapEx, D&A, working capital, debt, interest, SBC, buyback, share count, and statement schedules
  • Verify the full model through balance sheet checks, cash checks, net income linkage, calibration, and scenarios

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⚖️ Course IV. Calculate WACC

Learn how practitioners build the discount rate that drives every serious DCF valuation.

  • Use market value capital structure weights instead of book values when calculating WACC
  • Calculate cost of debt, cost of equity, CAPM inputs, beta, equity risk premium, tax shield, and final WACC
  • Apply WACC to test whether an investment creates value or destroys value under real capital allocation logic

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📈 Course V. Discounted Cash Flow Analysis

Build the intrinsic valuation method that converts forecast free cash flow into enterprise value and implied share price.

  • Calculate FCFF and FCFE, then understand which method produces enterprise value or equity value
  • Forecast revenue, EBIT, tax, D&A, CapEx, working capital, and FCF with real modelling logic
  • Estimate terminal value, discount projected cash flows, read the implied share price, and stress-test the valuation range

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🔍 Course VI. Comparable Company Analysis

Use market-based valuation to understand how public investors price similar companies.

  • Choose comparable companies with analyst judgment across industry, business model, size, growth, margin, and risk
  • Apply P/E, PEG, EV/EBITDA, EV/Revenue, P/BV, and FCF multiples in the right valuation context
  • Read a comps table like a banker and convert peer multiples into an implied share price range

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📝 Course VII. Turn Valuation Work Into a Professional Report

Convert valuation analysis into a clear, defensible conclusion for readers who need to make decisions.

  • Define purpose, scope, standard of value, valuation date, audience, and report structure before writing
  • Select the DCF, CCA, sensitivity, and scenario evidence that actually belongs in the report
  • Reach a concluded value, defend the method weighting, and write an executive summary that earns trust
financial modeling and valuation course
financial modeling and valuation course
financial modeling and valuation course
financial modeling and valuation course

Applied AI Prompting and Tasks

This financial modeling and valuation course applies AI across filing review, model building, valuation checks, and report writing.

  • Reading 10-K Filings with AI
    Use AI to extract revenue, operating income, cash flow, risk factors, segment data, and valuation inputs, then verify every figure against the original source.
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  • Building Model-Ready Excel Inputs
    Convert raw Yahoo Finance, 10-K, and peer data into structured Excel tables for financial statement analysis, forecasting, WACC, DCF, and CCA.
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  • Forecasting with AI Support
    Use AI to organize revenue drivers, margin assumptions, CapEx logic, working capital signals, and management guidance before building the forecast model.
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  • Reviewing Valuation Formulas
    Apply AI to explain, audit, and challenge WACC, FCFF, terminal value, EV bridge, sensitivity, and CCA formulas before final use.
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  • Writing an Investment Report
    Convert model outputs into concise investment commentary, valuation rationale, sensitivity interpretation, and report-ready conclusions.
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  • And more
    Applied AI tasks across financial statement analysis, 3-statement forecasting, WACC, DCF, CCA, sensitivity analysis, and valuation report writing.

Your Course 13 Templates

What You Will Analyze in This Financial Modeling and Valuation Course

13 Professional Template that You Will Have/Analyze in This Financial Modeling and Valuation Course

  1. Financial Statement Analysis Templates
    Use "the MSFT Financial Analysis Excel Model", "Industry-Specific FS Analysis Template", and "AI Prompt Playbook" to convert raw 10-K data into earnings quality, FCF, ratio, risk, and valuation judgment.
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  1. 3-Statement Financial Modelling Template
    Use "the NVDA 3-Statement Modeling Template" to understand how business research becomes revenue assumptions, schedules, income statement, balance sheet, cash flow statement, EPS, EBITDA, and FCF.
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  1. Valuation Excel Templates
    Work through TVM, Excel foundations, WACC, beta, DCF, CCA, and full valuation templates that show how professional valuation models move from assumptions to implied share price.
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  1. Valuation Report Template
    Review "the NVIDIA Valuation Report" structure to understand how purpose, methodology, DCF, CCA, sensitivity, concluded value, and executive summary become a professional valuation report.
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  1. AI Prompt Playbooks (Prompt Engineering)
    Use prompt libraries for financial analysis and valuation work, including extraction, assumption development, formula review, comps organization, risk identification, and analyst commentary.

AI-Powered Valuation Practice

in this Financial Modeling and Valuation Course

This AI Simulation video is provided as a reference from another course.

3 AI Simulations, 3 Excel Tasks, and 1 Report Writing Task

1. AI Simulation 1. Financial Statement Deal Analysis Lab

  • Evaluate SignalWorks Analytics as a hybrid SaaS, hardware, and services acquisition target.
  • Test revenue quality, EBITDA normalization, cash conversion, FCF, net debt, ROIC, valuation multiples, and deal judgment under CFO review.

2. AI Simulation 2. ArcLight Semiconductor IC Pressure Test

  • Act as a junior equity research analyst defending a 3-statement forecast model for ArcLight Semiconductor.
  • Translate business drivers into assumptions, schedules, EPS, FCF, calibration, scenarios, and IC-ready forecast judgment.

3. AI Simulation 3. HelioGrid Acquisition Valuation Committee

  • Act as a Corporate Development and Valuation Associate evaluating Orion’s acquisition of HelioGrid Analytics.
  • Defend price vs value, EV to Equity bridge, WACC, FCFF, DCF, CCA, sensitivity, bid range, and final IC recommendation.
This AI-Powered Excel Task is provided as a reference from another course.

4. Excel Task 1. NVIDIA FS Ratio Modeling Task

  • Build a simplified one-sheet financial statement analysis model for NVIDIA.
  • Calculate growth, margins, liquidity, leverage, efficiency, cash conversion, FCF, valuation signals, and short analyst commentary.

5. Excel Task 2. Alphabet Mini Financial Modeling Task

  • Build a simplified one-sheet financial model for Alphabet.
  • Connect revenue, operating income, net income, EPS, operating cash flow, CapEx, FCF, and analyst commentary.

6. Excel Task 3. Alphabet One-Sheet Valuation Model

  • Build a compact valuation model for Alphabet with only five sections:
  • Estimated FCF Table, WACC, DCF, Sensitivity, and CCA.

7. Report Task 1. Alphabet Abbreviated Valuation Report

  • Write a concise 2 to 3 page Word report that converts DCF, CCA, sensitivity,
    and concluded value into a clear investment recommendation.

Sample Internal View of The Course

Visual Examples of Our Learning Tools

The images shown below are from another course and are included for reference only.

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What You Will Gain from This Course

This online financial modeling and valuation course trains you
to read, model, value, and explain companies with analyst-grade judgment.

financial due diligence

Read Filings and Extract Valuation-Ready Signals

Read 10-K filings the way valuation analysts do. You will know which items drive FCFF forecasts, which signal credit risk, and which require adjustment before entering a DCF or CCA model.

due diligence

Translate Business Research into Forecast Assumptions

Build the discipline to convert products, customers, pricing dynamics, and industry forces into segment-level revenue and margin assumptions. You will never accept a generic growth rate without a business-driven rationale.

Financial Analysis

Calculate WACC and Apply It as a Decision Tool

Master the discount rate that drives every serious DCF valuation. Calculate cost of debt, cost of equity, and beta, then apply WACC to test whether an investment creates or destroys shareholder value.

ai prompting for finance

Build DCF and CCA Models and Reconcile Their Outputs

Build intrinsic valuation using FCFF projections and terminal value, then cross-check against peer multiples. You will explain the DCF-to-CCA gap the way an investment committee expects an analyst to defend it.

Use AI Without Losing Valuation Judgment

Apply AI throughout this valuation workflow to extract data, organize assumptions, and draft report sections. You will know exactly which steps AI accelerates and which require independent analyst verification and final judgment.

AI-Powered Simulations

Produce a Valuation Report and Defend It Under IC Pressure

Practice the financial modeling and valuation course content in AI simulation and Excel execution under IC pressure. You will receive instant feedback to convert model outputs into a concluded value and professional report.

Commit to 3~4 hours a week. In 8~10 months, you will value any company like a working analyst.

MAI Team

Who Made This Course?

Built by the M&A Institute team, where real finance experience meets training design.

This financial modeling course was architected by experts with over 10~20 years of combined experience in M&A, Private Equity, Corporate Finance, Valuation, and Corporate Strategy.

Bridging the gap between financial modeling, corporate valuation training, and investment valuation training, we have translated the actual analytical frameworks of finance professionals into a practical, rigorous curriculum.

Content Built on Battle-Tested Experience
● Our curriculum is derived from actual experience in Cross-border M&A, Venture Capital, Corporate Buyouts, IPOs, Mezzanine Financing, and financial analysis.
● We utilize the exact analysis frameworks, modeling templates, and decision matrices used by CFA/MBA professionals in top-tier firms.
● The content is verified by practitioners in New Business Strategy, Corporate Finance, Research Centers, IB Divisions, and PE Teams.
● Our instructors have delivered over 200 corporate training sessions to global firms and financial institutions, educating over 8,000 professionals.
 
What Our Corporate Clients Say:

Practical, insightful, and engaging M&A training that exceeded our expectations. The PMI module was particularly valuable for our team's execution capabilities.

H Group

The training helped me transition from early-stage startup investment to M&A. The practical knowledge and insights from the post merger integration process were invaluable.

S Group

Excellent course with high satisfaction and practical value. Highly recommended for any professional involved in the post merger acquisition lifecycle.

L Chemical

The M&A Institute Difference

● We don't just teach theory; we follow the analytical flow from 3-statements to forecast models, valuation methods, and investment conclusions.
● We use visually structured scripts and infographics to make dense financial concepts accessible to non-specialists.
● Experience a logical, unbroken learning flow: Fundamentals → Financial Analysis → Forecasting → WACC → DCF → CCA → Report.

Our Training Philosophy

"Great training translates complex theory into immediate field capability."

The goal of this financial modeling course is not just knowledge transfer.
It is to equip you with the templates, frameworks, and judgment required
to analyze companies, build forecast models, and defend investment conclusions effectively from Day 1.

Our Book

Mergers & Acquisitions with AI-Driven Simulation from Basics to a Specialist

This book is a comprehensive guide, refined from over a decade of offline M&A training delivered to top corporations such as Samsung, LG, Hyundai, and SK Group. Unlike traditional M&A texts, it systematically bridges theory and real-world practice, equipping readers with actionable insights and strategic tools essential for success.

The standout feature of this book is its exclusive AI simulation exercises. After each part (a total of 5 parts), readers engage in persona-based simulations powered by ChatGPT, enabling them to apply learned concepts in realistic environments. This unique learning experience ensures mastery of complex M&A transactions and positions readers as capable professionals in the field.

By completing this book, you will gain the skills and confidence needed to become an M&A Specialist, ready to lead complex transactions with expertise.

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Frequently Asked Questions

For Teams

Train Your Team on a Unified Framework

This financial modeling and valuation course is available for team-based enrollment, allowing organizations to build a shared language and valuation standard across equity research, corporate finance, M&A, and strategy teams.

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