Project Finance Pro: Mastering Financial Models
Build bankable models. Think like a Dealmaker.
Project Finance Pro is your ultimate guide to mastering financial modeling for large-scale infrastructure and capital-intensive projects. Whether you’re aiming to work on renewable energy, transportation, PPPs, or industrial ventures, this course walks you through the full lifecycle—from building rock-solid Excel models to structuring deals that pass lender scrutiny. Built for aspiring analysts, investment professionals, and infrastructure consultants, you’ll learn how to model cash flows, evaluate risks, optimize capital stacks, and present investor-ready outputs.
What You’ll Learn in Project Finance Modeling
Master end-to-end project finance modeling — from Excel spreadsheets to deal execution
Structure, fund, and pitch large-scale infrastructure and energy projects
Gain a deep understanding of project finance theory and practical application
Work on real-world models in a hands-on, simulation-driven environment
Quantify and assess project risks using financial models
Support contract negotiation with model-driven insights
Learn to build investor-ready models for VCs, PEs, and commercial lenders
Project Finance Pro Advantage
Built for those who lead fund raise from the front:
Built around real world deal structuring: From Debt sizing to equity IRRs to waterfall payout, every model ties to a real infrastructure or energy project framework. Term sheet to model integration: modular, role based learning path with customizable modules that adapt to your target job role or sector (PPP, RE, infra etc) Deal case studies: Solar Parks in Rajasthan, toll roads in Brazil to LNG Terminals in UAE. Bank ready output: Mirroe industry best practices, be it commercial banks, PE to multilateral financing agencies like IFC, ADB and World Bank Doubt resolution sessions: Learners get access to participate in periodic doubt resolution sessions
Join the program designed by real-world practitioners and gain marketplace-ready skills to build project finance models used in actual deals — not just theory.
Join the program designed by real-world practitioners and gain marketplace-ready skills to build project finance models used in actual deals—not just theory. Unlike typical academic or generic Excel courses, Project Finance Pro is built for serious learners aiming to work on live infrastructure, energy, and PPP transactions. The templates you’ll use in this course are the same ones used in real deal rooms—bank-ready, audit-proof, and built to impress lenders, investors, and sponsors. You’ll learn how to size debt, structure equity waterfalls, assess DSCR, and model cash flows with precision and purpose. Every formula you build, every assumption you test, and every dashboard you create will reflect real-world deal logic. By the end of the program, you’ll not only understand the financial structure of large-scale projects—you’ll be ready to walk into your workplace and start modeling with confidence from Day 1. This is the practical, career-ready edge the market has been missing.
Read below to understand the value Project Finance Modeling by Krawl Edutech could potentially add to your career.
Project Finance Pro gives you real-world deal experience, bank-grade Excel templates, global case studies, job-ready skills, deep structuring knowledge, and direct mentorship—so you can model, analyze, and contribute to actual deals post course completion Day 1.
What you will learn
Real world skills
- Build a fully integrated project finance model from scratch in Excel: Learn how to model revenues, costs, debt, equity, and cash flows in a structured, auditable format.Learn how to model revenues, costs, debt, equity, and cash flows in a structured, auditable format.
- Structure debt using DSCR, sculpting, and repayment schedules: Master the art of debt sizing and repayment logic based on real lender requirements and covenant thresholds.
- Model equity waterfalls, IRRs, and shareholder returns: Understand how equity contributions flow through the model and how to evaluate investor returns in layered capital stacks.
- Translate term sheets into financial model logic: Learn how to interpret real lender and sponsor term sheets and reflect their terms accurately in your model.
- Conduct sensitivity, scenario, and break-even analyses: Stress test your models to assess how changes in assumptions impact returns, viability, and lender comfort.
- Design robust input sheets, summary dashboards, and output reports: Build models that are clean, navigable, and presentation-ready for investors and credit committees.
- Understand key project finance ratios like DSCR, LLCR, and Project IRR: Learn what these ratios mean, why they matter, and how to calculate and interpret the project metrics.
- Analyze project feasibility across sectors (infrastructure, energy, transport, PPPs): Apply your modeling skills to real-world sectoral case studies that reflect how deals are structured in different industries.
- Create lender and investor pitch outputs from your model: Go beyond numbers—build the outputs and visuals needed to present and defend your project to stakeholders.
- Get feedback from practitioners and improve in real-time: Submit your model builds, receive expert feedback, and continuously refine your work through guided mentorship.
Learning Outcome
Who should attend
The course is designed for a variety of users dealing with project finance:
- Analysts who create, audit, and review financial models.
- Developers, investors engaged in infrastructure projects.
- Financial advisors who structure debt agreements and other contracts.
- Financial advisors who develop the valuation of projects.
- Project finance credit analysts at financial institutions.
- Project finance fund managers who buy and sell projects.
- Insurance company and pension fund managers who invest in projects.
- Privatisation specialists who value projects.
- Relationship managers who need to interpret financial models.
- Credit/Investment committee staff of financial institutions.
- EPC contractors and project finance research analysts
