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AI-Powered Canadian Corporate Finance & Financial Modelling
Rating: 4.1 out of 5(7 ratings)
62 students

AI-Powered Canadian Corporate Finance & Financial Modelling

Master corporate finance with generative-AI tools—tailored for Canadian college and university learners
Created byHarry Vadalkar
Last updated 6/2025
English

What you'll learn

  • This course is for learners who are taking Corporate Finance course in a Canadian college / University .
  • You would learn basics of corporate finance , taxation , capital budgeting and financial modeling
  • We would be discussing examples of Canadian companies.
  • In this course you would play a role of corporate finance manager

Course content

2 sections22 lectures21h 23m total length
  • Corporate finance and the financial manager57:02
  • Financial Statement analysis using AI live class2:34:44
  • Connect with me0:23
  • Introduction to financial statement analysis part A39:18
  • Introduction to financial statement analysis part B24:21
  • Introduction to financial statement analysis part c24:21

    Analyze the statement of comprehensive income, the income statement, and the cash flow statement, including IFRS vs GAAP differences, EPS (basic/diluted), depreciation's tax impact, and cash flow from operations.

  • The valuation principle : The foundation of financial decision making23:27

    Use the valuation principle to compare costs and benefits with market prices, time value of money, present and future value, and discounting to maximize shareholder wealth.

  • The time value of money31:21
  • Bonds Part A57:17
  • Bonds Part B30:56
  • Valuing stocks Part 11:43:53
  • Valuing stock part 246:23

    Value stocks by applying dividend discount model variations, including zero-dividend years, share repurchases, and total payout approaches, then compare using discounted cash flow and valuation multiples.

  • Investment decision rules1:41:23
  • Fundamentals of Capital Budgeting1:06:33

    Explore the capital budgeting process, forecasting incremental earnings, and converting them to incremental free cash flows, including net present value sensitivity, real options, and handling depreciation, capex, and working capital.

  • Risk and returns in capital markets49:51
  • Risk and Return calculation -1:05:25

    Learn to calculate expected returns using the risk-free rate plus beta times (market return minus risk-free rate) and analyze historical returns with average return and CAGR, plus risk measures.

  • Systematic risk and equity risk premium1:17:37

    Explore systematic risk and equity risk premium, compute portfolio return and volatility, estimate cost of equity with CAPM, and understand diversification via the market portfolio.

  • Determing the cost of capital33:55
  • Links to all courses0:20

Requirements

  • Enrolled in Canadian college /University finance program

Description

Super-charge your understanding of Canadian corporate finance by pairing time-tested theory with hands-on AI workflows and Excel-driven models. You will dissect real TSX-listed companies, optimize capital structures, and run live-data valuations while generative-AI copilots slash modelling time and surface deeper insights. By the end, you will make board-ready decisions backed by rigorous analysis and automated scenario stress tests.

Why This AI-Powered Course Stands Out

  • AI-Enhanced Analysis from Day One
    Use ChatGPT-style agents to scrape SEDAR+ filings, clean the data, and produce ratio dashboards and credit red-flags in seconds.

  • Excel-Heavy, Outcome-Driven Modelling
    Build three-statement and DCF models, embed Python or Power Query automations for live feeds, and validate with AI-assisted Monte Carlo simulations.

  • Canadian Context with Global Relevance
    Explore how IFRS nuances, Canadian tax rules, and TSX disclosure standards shape valuation, while extracting lessons applicable worldwide.

  • Capital-Budgeting Deep Dive
    Master NPV, IRR, payback, and profitability index, then let AI scenario generators test commodity shocks, interest-rate spikes, or carbon-pricing changes.

  • Career-Ready Deliverables
    Graduate with a polished WACC dashboard, a full capital-budgeting model, and an AI-augmented equity valuation report you can showcase in interviews.

Module-by-Module Journey with Practical AI Touchpoints

  1. Introduction to Corporate Finance – Clarify firm goals, governance, and agency conflicts. Prompt GPT to critique executive-compensation structures and propose governance tweaks.

  2. Financial Statement Analysis – Drill into quality of earnings and trend ratios. Deploy an AI bot that benchmarks TSX filings against peer medians.

  3. Time Value of Money – Master discounting and compounding; generate custom prompt-driven calculators that explain each step inside Excel or Python.

  4. Bond Valuation and Interest Rates – Examine yield curves and duration; have an LLM write a macro that pulls current Bank of Canada data and plots it automatically.

  5. Risk and Return – Apply CAPM and multi-factor models; use vector databases and AI search to surface comparable betas and factor loadings instantly.

  6. Cost of Capital – Calculate WACC, flotation costs, and project hurdles; let AI flag outlier assumptions and run a rapid-fire sensitivity grid.

  7. Stock Valuation – Perform DCF and relative valuation; prompt GPT to draft a plain-English valuation memo complete with summary graphics.

  8. Capital Budgeting – Evaluate NPV, IRR, and payback; generate AI-driven stress-test scenarios that reflect FX swings, regulatory shifts, or ESG costs.

  9. Capital Structure – Balance leverage and flexibility; use Copilot to model recapitalizations, covenant headroom, and debt-service coverage ratios.

  10. Dividend Policy – Debate residual theory and clientele effects; have the LLM assemble a board briefing on payout revisions with pros, cons, and peer-group data.

  11. Short-Term Financial Planning – Build rolling cash budgets and maturity-matching schedules; let AI create a dynamic 13-week liquidity forecast that updates with live inputs.

Student Requirements

  • A laptop or PC running Excel 2019 or Microsoft 365 (Windows or macOS).

  • Optional Python (Anaconda) if you wish to explore deeper automations—setup videos included.

  • No prior coding experience needed; all AI prompts and scripts are provided step-by-step.

Key Takeaways

  • Complete fluency in Canadian corporate-finance fundamentals—from time value of money through dividend policy.

  • A personal AI tool-belt of prompt frameworks, reusable code snippets, and dashboards you can adapt on the job.

  • Portfolio-worthy deliverables: a capital-budgeting model, a WACC analysis, and a TSX equity valuation report backed by AI insights.

  • Strategic perspective on how governance standards, tax rules, and capital-market trends uniquely influence Canadian corporate decisions.

Ready to Future-Proof Your Finance Career?

Join a growing community of analysts and students who turn spreadsheets into strategic assets with the power of AI. Enroll now to master Canadian corporate finance, accelerate your modelling workflow, and make smarter, faster investment decisions.

Who this course is for:

  • Learners in Canadian universities /colleges