This course contains the use of artificial intelligence.

AI is already changing how high-finance work gets done. The analysts who benefit most will not be the ones who blindly outsource their thinking to AI. They will be the ones who know how to use AI to move faster while still owning the sources, assumptions, formulas, judgment, formatting, and final explanation.

In this course, you will build a practical SpaceX IPO case study using modern AI workflows. You will use AI to help structure a financial model, research a company, create a source map, extract historical financials, build revenue and expense forecasts, bridge the model to unlevered free cash flow, construct a DCF valuation, and audit the model before relying on it.

You will also learn how to turn the model into an investment-banking-style PowerPoint deck. The course walks through banking deck structure, executive summary writing, company overview pages, market overview pages, investment thesis and risk slides, IPO launch plan slides, model screenshot slides, and final banking-style QA.

Finally, the course shows how to use AI in recruiting without sounding generic. You will learn how to research banks, groups, and bankers faster, draft more targeted networking messages, prepare for AI-related interview questions, and position the project on your resume and LinkedIn without overstating your experience.

The course is built for students and early-career finance professionals who want tactical AI workflows for investment banking, private equity, corporate finance, and adjacent high-finance roles. It is not a generic AI overview. It is a practical project-based course anchored around real deliverables: a model, a pitch deck, prompt libraries, checklists, and a recruiting story you can explain.

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