Basic Company Valuation Course with AI

From Valuation Methods to DCF Exercise, Excel Functions and AI Prompting

This basic company valuation course teaches you how to value a company from the ground up. You will learn how to separate "Price" from "Value", distinguish "EV(Enterprise Value)" from "Equity Value", choose the right valuation methods, build DCF intuition in Excel, and use AI prompting to support valuation analysis without losing analyst judgment.

This course is part of the full Investment Valuation Training.
If you want the complete valuation learning path, see our full course: Financial Modeling and Valuation Course with AI and Excel

 Course Highlights
42 learning modules across 14 lessons in 5 sections covering the basic valuation workflow
● 40 quizzes, 4 tasks, 3 templates, AI-Powerd simulation, and Excel practice for applied learning
● Learn business valuation basics: EV bridge, equity value, DCF, DDM, NAV, and multiple methods
Apply AI prompting across analyst report comparison, filing extraction, DCF and formula checks
Build valuation judgment through Excel templates, quizzes, applied tasks, and AI verification
 
Course Level
Beginner
 
Prerequisites
Not required

What You Will Achieve
● Understand how analysts convert company data into structured valuation conclusions
● Distinguish enterprise value, equity value, net debt, EV bridge logic, and valuation output types
● Choose DCF, P/E, EV/EBITDA, EV/Sales, NAV, or VC-style methods based on company context
● Build DCF intuition in Excel using present value, terminal value, discount rate, and growth
Use AI prompts safely to extract, compare, calculate, verify, and interpret valuation outputs

3 Templates
● TVM to DCF Excel Model
● Excel Foundations for Valuation
● Valuation Analyst AI Prompt Playbook

AI-Powered Simulation Practice
Basic Company Valuation Decision Lab: You evaluate NeuralDrive AI as an acquisition target across 8 progressive stages, applying every concept from this valuation fundamentals course under realistic investment review pressure.
 
Who Should Take This Course?
University students | Finance beginners | Equity research candidates | IB and PE candidates | Corporate finance or strategy teams | Founders preparing for fundraising | Professionals preparing for valuation, investment, M&A, or corporate finance roles
 
Duration
Complete this financial statement analysis course within 2 months, with unlimited access
● 14 lessons with 42 learning modules + 40 quizzes, 4 tasks, and 3 templates
● Each module designed for 20~30 minutes of focused study
● Total estimated learning time: approximately 15 ~ 20 hours
● Completable within 2 months at 2~3 hours per week

Basic Company Valuation Course Structure

A Practical Learning Flow Built for Valuation Judgment

This basic company valuation course turns price, value, EV, equity value, DCF logic, Excel, and AI into investable judgment.
You will use AI to compare analyst reports on real stocks, run DCF sensitivity in Excel, verify prompt quality, and build a valuation library.
5-Stage Learning Cycle: Concept Study → Retention Quiz → Skill-Building Task → 3 Template Reviews → AI Simulation.
You will build the practical judgment to separate price from value, choose valuation methods, read target prices, and defend assumptions.
Every section moves from beginner logic to analyst workflow, from valuation fundamentals to DCF, Excel, AI, and report-ready interpretation.
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How the Course Is Structured

5 sections → 14 lessons → 42 structured learning modules
40 quizzes for practical valuation and investment judgment
Each module designed for 20~30 min including quiz & applied task
Unlimited access for 2 months across all devices
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Differentiated Learning Materials

Visually structured written content optimized for fast comprehension
All lessons downloadable in PDF
Applied tasks using AI tools, real analyst reports, and Excel models
3 Templates: 1. TVM to DCF Excel, 2. Excel Foundations for Valuation, 3. AI Prompt Playbook
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AI-Powerd Simulation

Apply your knowledge in our AI-powered simulation: "Acquiring AI Tech for a Legacy Manufacturer."
Develop valuation judgment under realistic constraints faced in equity research and M&A.
Receive instant analysis on your choices, refining price, value, DCF, and AI judgment.

Our Learning Interface

Basic Company Valuation Made Structured, Visual, and Practical

Basic Company Valuation Course with AI

Our learning UI and UX is engineered to transform technical valuation concepts into intuitive business judgment.

  1. Scientifically Designed 3-Layer Interface
    Every lesson follows a three-layer learning structure designed to help learners understand valuation 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 gives you the full learning logic. 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 diagrams translate abstract valuation ideas into concrete analytical frameworks. Enterprise value, equity value, DCF logic, comparable multiples, and discounting become easier to understand when each concept is shown visually. This graphic reinforcement turns basic company valuation into a clear sequence of decisions rather than a collection of formulas.
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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 real-world scenarios, testing not just knowledge, but your ability to apply these concepts in actual deal situations. You'll discover exactly how to use what you've learned in practice.

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  3. Applied Financial Analysis Tasks
    The applied tasks move the valuation fundamentals course beyond passive learning. You compare analyst reports, reconstruct a target price, test DCF sensitivity, and use AI prompts to check whether outputs can be trusted. The result is a practical basic company valuation workflow that helps you think like an analyst before moving into full financial modeling and valuation work.

The result? You do not just understand basic company valuation.
You apply it, step by step, with confidence.

Basic Company Valuation Course Curriculum

42 learning modules across 14 lessons in 5 sections → 40 Quizzes → 4 Tasks → 3 Templates → AI-Powered Practice

This basic company valuation course starts with value vs price, then moves into EV, equity value, DCF, multiples, Excel, and AI.
Begin with The One Investment Principle → then progress to EV vs Equity Value, method selection, and IB valuation practice.
Advance through Excel DCF Construction → AI Valuation Workflows → and a final AI-Powered Simulation across 8 progressive stages.
The curriculum mirrors the valuation approach used by equity research analysts, investment bankers, PE investors, and M&A advisors.
Each section builds real analyst judgment through concept lessons, scenario quizzes, applied tasks, Excel templates, and AI prompting.

Course Content

🧭 SECTION I. The One Principle Behind Every Investment Decision
🏗️ SECTION II. Build Your Valuation Toolkit from the Ground Up
6. How Valuation Works Differently in Equity Research and M&A
📊 SECTION III. Build Your Valuation Skills in Excel
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
⚙️ SECTION IV. Use AI to Work Faster in Valuation
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

Section Description

This course is structured into 4 applied sections:

Section I. The One Principle Behind Every Investment Decision

  • Understand why professional investors separate value from price before committing capital, and how markets move on that disagreement
  • Calculate investment returns with and without dividends using the standard return formula across holding periods
  • Recognize the real situations that demand a formal valuation: listed stocks, M&A negotiations, IPOs, and startup funding rounds

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Section II. Build Your Valuation Toolkit from the Ground Up

  • Separate enterprise value from equity value using the EV bridge formula and convert between the two with full precision
  • Choose the right valuation method — DCF, DDM, NAV, or relative valuation — based on company type, stage, and data availability
  • Apply the IB approach to real stocks and understand how equity research and M&A valuation differ in output, method, and purpose — the foundation of any valuation methods course

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Section III. Build Your Valuation Skills in Excel

  • Master time value of money: present value, discount rates, perpetuity, Gordon Growth Model, and NPV across multiple cash flows
  • Build your first complete two-stage DCF in Excel from projected free cash flow to enterprise value using a SaaS case study
  • Develop the Excel foundations every valuation analyst needs: number formats, XNPV, IRR, INDEX/MATCH, goal seek, and audit tools

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Section IV. Use AI to Work Faster in Valuation

  • Use AI to compare analyst reports on the same stock, extract target prices, and identify which single input drives the largest valuation gap
  • Master prompt engineering rules for financial modeling: structured prompts, 4-stage chains, error patterns, and output verification
  • Build a reusable prompt library across the full basic company valuation workflow — from EV calculation to final target price

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Section V. AI-Powered Simulation

  • Apply all 13 lessons in one structured valuation simulation.
  • You act as Corporate Development Analyst at Apex Industrial Systems, a legacy manufacturer evaluating NeuralDrive AI, a fast-growing automation software target.
  • The seller argues that NeuralDrive deserves a high valuation because it brings AI capability, recurring software revenue, and strategic transformation potential.
  • Your job is to decide whether that claim is supported by valuation logic.
  • Across 8 progressive scenarios, you must move from basic company valuation to practical investment judgment.
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basic company valuation
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Applied AI Prompting and Tasks

This basic company valuation course applies AI across data extraction, valuation method selection, DCF review, and analyst interpretation.

  • Comparing Analyst Reports with AI
    Use AI to compare two equity research reports on Alphabet, extracting target price, method, multiple, and forecast horizon.
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  • Reconstructing a Target Price
    Recalculate a published target price using forward EPS and P/E multiple, then test how the output changes when the forecast year changes.
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  • DCF Sensitivity Review
    Use AI to interpret your DCF sensitivity table and identify whether enterprise value is driven more by discount rate or terminal growth.
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  • Filing and Data Extraction
    Use structured prompts to extract revenue, operating income, operating cash flow, CapEx, and free cash flow from source documents.
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  • Formula and Model Review
    Ask AI to explain valuation formulas, detect hardcoded values, and flag inconsistencies before they enter a final model.
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  • Output Interpretation
    Convert model results into a clear valuation narrative while verifying every number against the source or spreadsheet.

Your Course Templates

3 Professional Templates in This Basic Company Valuation Course

What You Will Apply in This Basic Company Valuation Course
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1. TVM to DCF Excel Model
Seven-step progression from a single cash flow to a complete two-stage DCF model using the CloudTrack SaaS case study. Steps move from single-year discounting through NPV, perpetuity, Gordon Growth, five-year explicit period with terminal value, and a full two-stage DCF — with discount rate and growth inputs you control directly.
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2. Excel Foundations for Valuation
Seven-sheet workbook covering the Excel skills every valuation analyst uses daily: number formats for revenue, multiples, and rates; keyboard shortcuts for model speed; IF and IFERROR for robust formulas; INDEX/MATCH for comps tables; SUMPRODUCT for WACC; NPV, PV, IRR, XNPV, and XIRR for DCF work; and audit tools including trace, goal seek, and show formulas — all applied to a live CloudTrack financial model.
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3. Valuation Analyst's AI Prompt Playbook
Prompt engineering framework with four rules every finance prompt must follow, a four-stage chain that prevents compounding errors, and a ready-to-use prompt library organized by valuation task across DCF, comparable company analysis, and analyst report reconstruction — the working reference for business valuation basics applied with AI on any public company.
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You will leave with the exact analyst workflow that converts market prices and public filings into structured valuation judgment, replacing manual guesswork with disciplined AI-assisted execution at every stage of this valuation fundamentals course.

 

AI-Powered Basic Company Valuation Practice

This video is provided as a reference from another course.

AI Simulation - Basic Company Valuation Deal Lab

This is an AI-powered simulation where each scenario places you under investment committee review. You are evaluating NeuralDrive AI, a growth-stage software target being marketed as a strategic AI acquisition. The seller claims the business deserves a premium because it combines AI capability, growth optionality, and future automation demand. You must decide whether that claim survives disciplined valuation analysis.

You will work through 8 decision points by:

  1. Separating value from price.
  2. Identifying whether the valuation output is enterprise value or equity value.
  3. Selecting the most appropriate valuation method for the company stage.
  4. Testing DCF sensitivity to WACC and terminal growth.
  5. Comparing DCF logic with market-based valuation multiples.
  6. Using AI prompts to extract, calculate, verify, and interpret financial data.
  7. Challenging AI outputs that lack source citation or formula consistency.
  8. Recommending whether the buyer should pay a premium, reduce the offer, request more evidence, or walk away.

This is the final bridge between a valuation fundamentals course and real analyst execution.
It turns basic business valuation from a concept into a repeatable decision process.

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 basic company valuation course trains you
to judge price, value, methods, Excel logic, and AI outputs with analyst-grade discipline.

Integration Risks

Distinguish Value from Price Across Any Investments

Build the ability to judge whether a stock price, offer price, or target price is reasonable. You will know how value differs from price, why valuation is a range, and when a market price deserves challenge.

due diligence

Match the Right Valuation Method to Any Company

Identify when to use DCF, relative valuation, P/E, EV/EBITDA, EV/Sales, DDM, NAV, or VC-style methods. You will match each method to company stage, data quality, investor purpose, and transaction context.

Financial Analysis

Calculate EV and Equity Value with Precision

Understand the bridge between EV (Enterprise Value), equity value, debt, cash, minority interest, and preferred stock. You will avoid one of the most common basic business valuation mistakes before building any model.

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Build a Two-Stage DCF Model in Excel

Move from present value to perpetuity, terminal value, discount rate, growth rate, and sensitivity analysis. You will understand what Excel is calculating before trusting a green output cell or headline valuation.

AI-Powered Simulations

Apply AI to Valuation Without Losing Analyst Judgment

Apply AI to extract filings, compare reports, explain formulas, and review valuation logic efficiently. You will know which outputs save time and which require source checks, formula checks, and analyst judgment.

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Convert Valuation Basics into Decisions

Practice the valuation fundamentals course content through tasks, templates, and simulation under realistic review pressure. You will turn raw assumptions into defensible investment, M&A, IPO, and funding conclusions.

Commit to 2~3 hours a week. In 2 months, you will understand basic company valuation like a junior analyst.

MAI Team

Who Made This Course?

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

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

Bridging the gap between financial statement analysis training and real investment decision-making, 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, and Mezzanine Financing.
● We utilize the exact analysis frameworks, Excel templates, and decision logic 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 accounting theory; we follow the analytical flow used by finance professionals to read, verify, and interpret company financials.
● We use visually structured scripts and infographics to make dense financial concepts accessible to non-specialists.
● Experience a logical, unbroken learning flow: Price → Value → Method → Excel → AI Verification.

Our Training Philosophy

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

The goal of this basic company valuation course is not just knowledge transfer.
It is to equip you with the templates, frameworks, and judgment required
to value companies, test assumptions, and defend investment conclusions effectively from Day 1.

Our Book

Acquisition Finance & Leveraged Buyouts with Excel Modeling

This leveraged buyout book is your comprehensive, practice-driven guide to Acquisition Finance and LBO Analysis, designed for corporate professionals, investors, and M&A practitioners seeking to master one of the most dynamic and high-impact areas of dealmaking. It is the essential acquisition finance guide for serious practitioners.

Built on over a decade of global M&A training delivered to leading companies such as Samsung, LG, Hyundai, and SK Group, this leveraged buyout book brings structured clarity to acquisition financing, from debt structuring and equity strategy to the full LBO lifecycle and IRR modeling. You will learn how deals are financed, how capital structures are engineered, and how real-world transactions are evaluated and executed under pressure. This leveraged buyout book stands as a testament to practical application.

This is not a theoretical finance textbook. Every chapter delivers clear, structured, and highly applicable knowledge, including how to decide between equity and debt, how mezzanine layers are negotiated, how reverse mergers work in LBOs, and how internal financing capacity shapes deal feasibility. Dozens of real examples like Broadcom, Asda, HCA Healthcare are dissected to show how professionals navigate capital stacks and strategic vehicles. This leveraged buyout book emphasizes actionable insights.

The book also includes LBO excel modeling sections that walk you through the full construction of complex LBO models, from pro forma income statements to cash flow forecasting, IRR sensitivity, and capital structuring. In this part, AI-powered simulations will place you in the role of a CFO, private equity partner, or MBO candidate facing real-world decision points. This leveraged buyout book ensures hands-on learning.

Whether you’re a private equity analyst, investment banker, CFO, or finance student, this leveraged buyout book will build your practical expertise in structuring, analyzing, and executing acquisition financing deals with confidence. You’ll finish with the knowledge and tools required to lead and challenge financial assumptions at the deal table. This leveraged buyout book prepares you for real-world scenarios.

Acquisition Finance and Leveraged Buyouts with Excel Modeling

Frequently Asked Questions

For Teams

Train Your Team on a Unified Valuation Judgment Framework

This basic company valuation course is available for team-based enrollment, allowing organizations to build a shared language and analytical standard across corporate development, strategy, finance, and investment teams.

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