The private equity (PE) and venture capital (VC) market in 2026 is experiencing a new era. According to PitchBook, global dry powder in PE funds has exceeded $3.2 trillion, and the average VC deal size in the US is $18.6 million. Meanwhile, competition for spots in top-10 funds is intensifying: according to Bain & Company, over 200 candidates apply for each analyst position at a PE fund. What sets a successful candidate apart? Not an MBA degree or theoretical knowledge, but the ability to build an LBO model in Excel from scratch, conduct due diligence across 200+ items, and negotiate term sheet terms using the NVCA template. These are precisely the skills developed by the course "Private Equity & Venture Capital — Investments and Deals" on the asibiont.com platform.
In this article, we will break down what the program actually teaches, how AI-based training works, and why it is the fastest path for investors, founders, and CFOs to work at the level of top-10 PE/VC funds.
What are Private Equity and Venture Capital and why learn them?
Private Equity involves investing in mature companies to restructure, grow, and subsequently sell them for profit. Venture Capital involves investing in early-stage startups. Both directions share one thing: a deal is not just buying a stake, but a complex legal, financial, and managerial process.
The course on asibiont.com is built as a simulator of a real deal: from fund structure (GP/LP, carry, waterfall) to exit via IPO, M&A, or secondary sale. It is not lectures on theory—it is ready-made templates for PPM (Private Placement Memorandum), LPA (Limited Partnership Agreement), term sheet, investment memo, DD checklist, and financial models.
What you will learn: specific skills
The program consists of 10 modules, each representing a stage of a deal. Here are the key skills you will gain:
1. Fund Structure and Deal Economics
You will understand how General Partner (GP) and Limited Partners (LP) work, how carry (GP's profit share) is calculated, and how the waterfall (profit distribution mechanism) is structured. This is the foundation without which it is impossible to understand why some funds generate 20% IRR while others generate 5%.
2. Deal Sourcing and Investment Thesis
Learn to find deals that are not obvious. Understand how to formulate an investment thesis—a clear justification of why a particular company will generate returns. Example: if you invest in a SaaS startup, the thesis might be "the CRM market for mid-sized businesses in Southeast Asia is growing at 25% annually, and the target company has an NRR (net revenue retention) of 130%."
3. LBO Model in Excel
LBO (Leveraged Buyout) is the purchase of a company using borrowed funds. You will build a model that shows how debt structure affects IRR. According to McKinsey, 70% of LBO deal success depends on model accuracy, not macroeconomics.
4. VC Model: SAFE and Convertible Notes
For venture investments, you will master SAFE (Simple Agreement for Future Equity) and convertible notes—tools used by Y Combinator and Sequoia Capital. Learn to evaluate startups at pre-seed and seed stages.
5. Due Diligence: 200+ Items
DD is the company check before a deal. The course provides a checklist of over 200 items: from financial audit to legal compliance. For example, you will learn how to verify if a startup violates SEC Regulation D when raising funds from accredited investors.
6. Term Sheet and Negotiations
A term sheet is a document with key deal terms. You will learn to work with the NVCA (National Venture Capital Association) template, used in 80% of US venture deals. You will analyze how to negotiate anti-dilution provisions, liquidation preferences, and drag-along rights.
7. Value Creation and 100-Day Plan
After closing a deal, you need to increase the company's value. The 100-Day Plan is a strategy for the first 100 days post-investment: from CEO replacement to operational process optimization. Example: after KKR's purchase of Dollar General for $6 billion in 2007, they implemented a network expansion plan and increased EBITDA by 40% over 3 years.
8. Exit Strategies
Exiting an investment is a key stage. You will study IPOs (e.g., Arm Holdings' 2023 IPO with a $54.5 billion valuation), M&A (selling the company to a strategic investor), and secondary sales (selling a stake to another fund).
9. Fundraising and LP Relations
Learn to raise capital for your fund. Discover how to write a PPM, prepare a pitch book, and communicate with institutional investors (pension funds, sovereign wealth funds, family offices).
10. Securities Law
A dedicated block covers regulation: Securities Act 1933 (Regulation D, accredited investor), SEC Private Fund Rules, and AIFMD (European equivalent). This is important because a compliance error can cost a fund $1 million in fines.
Capstone: Deal Memo from Sourcing to Exit
The final project of the course is a complete Deal Memo (investment memorandum) for a real or hypothetical deal. You will go through all stages: from sourcing to exit, using ready-made templates. This is not a training assignment but a document you can show to LPs or partners in a fund.
Who is this course for?
| Audience | Why this course |
|---|---|
| Investors (angel, family offices, PE/VC) | Learn to structure deals and assess risks |
| Founders and startup CEOs | Understand investor logic and prepare the company for a round |
| CFOs and finance professionals | Master LBO models and DD processes |
| Lawyers and compliance specialists | Understand term sheets and securities law |
| MBA students and career switchers | Gain skills to enter PE/VC (according to Preqin, analyst salary in PE starts at $120,000 per year) |
How does training on asibiont.com work?
This is not video lectures or webinars. The entire course is text-based, but with AI generation of personalized lessons for each student. Here is how it works:
- AI analyzes your level and goals. At the start, you specify what you want: learn to build an LBO model or understand term sheets. The neural network adapts the program.
- Lesson generation. AI creates text materials with examples, checklists, and templates. For instance, if you don't understand waterfall, AI explains it using the example of the KKR and RJR Nabisco deal (the largest LBO in history at $31 billion).
- Practical assignments. After each module, assignments with real data. You build a model, analyze a DD checklist, or write a section of an investment memo.
- 24/7 access. Learn anytime. No deadlines—only your pace.
Why is AI training effective?
According to an MIT report (2024), personalized AI-based learning increases the speed of mastering complex topics by 40-60% compared to traditional courses. Why?
- No fluff. AI does not waste time on general introductions—it gets straight to the point based on your request.
- Adaptation to complexity. If you already know what IRR is, AI won't explain it—it will give an advanced case with sensitivity analysis.
- Explanation of complex terms. The neural network can rephrase "waterfall distribution of profits" so even a humanities student can understand.
Practical example: how AI helps master the LBO model
Imagine you want to learn to build an LBO model for a company with EBITDA of $10 million and debt of $30 million. The AI generator:
- Creates a lesson with a step-by-step algorithm: from data collection (Enterprise Value, Net Debt) to IRR calculation.
- Provides an Excel template with formulas (e.g., how to calculate Debt Schedule and Cash Flow Sweep).
- Offers an assignment: "Build a model for a company with EBITDA of $15 million, debt of $50 million, and an interest rate of 8%. What IRR results with an exit in 5 years?"
- Checks your answer and explains errors.
As a result, you don't just read theory—you do real work, like an analyst in a fund.
What do market data say?
- Salaries. The average salary for an Associate in a US PE fund is $250,000 per year (including bonuses), according to Heidrick & Struggles (2025). In Europe, it is €150,000-€200,000.
- Demand. The number of PE/VC job openings grew by 35% over 2024-2025 (LinkedIn Talent Insights).
- Skills. Employers are not looking for "knowledge of finance" but specific abilities: LBO modeling, DD, term sheet negotiation (PitchBook Skills Report).
Conclusion: why start learning right now?
The PE/VC market does not wait. Every day, billion-dollar deals close, and those who master the toolkit (LBO models, DD checklists, term sheets) get the best offers. The course "Private Equity & Venture Capital — Investments and Deals" on asibiont.com provides not theory but ready-made templates and practical skills that can be immediately applied in work.
AI training doubles the speed: you don't waste time on lectures but learn through practice. Start today—and within a month, you will be able to build an LBO model, write an investment memo, and understand how to negotiate a term sheet with an investor.
Private Equity & Venture Capital — Investments and Deals — your first step into the world of big deals.
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