RUN YOUR OWN AI EMPIRE

About this course

You are currently paying someone else every time you use AI. Every message, every project, every API call — OpenAI, Anthropic, or Google is billing you, storing your data, and controlling the price. What if you ran the AI yourself — and other people paid you? That is exactly what this course teaches.

What you'll learn

• 🔧 Module 1 — The Big Picture Why local AI matters now, who is already building this business, and the real difference between cloud AI and running your own.
• 📐 Module 2 — Model Sizes & Quantization What parameters are, what Q4 quantization means, and how a 70-billion parameter model fits on a $2,000 machine.
• 💻 Module 3 — Hardware Deep Dive Mac Mini M4 Pro vs RTX 5090 laptop. VRAM explained. Unified memory vs dedicated GPU. Exactly what to buy and why.
• 🔗 Module 4 — Clusters & Thunderbolt How to connect 2–5 machines to share memory and run larger models. Scale from 64GB to 320GB without a data center.
• ⚙️ Module 5 — The Complete Software Stack Ollama + LiteLLM + Cloudflare Tunnel + Exo. Step-by-step from model to live API endpoint your clients can call.
• 🤖 Module 6 — Open-Source Models in 2026 Who makes what, which models to run, and how to pick the right one for coding, reasoning, or customer service.
• 💰 Module 7 — 4 Monetization Strategies Sell API access, build white-label AI for clients, vibe code faster, or create niche AI products. Real revenue projections.
• 🚀 Module 8 — Day-by-Day Setup Guide Day 1, Day 2, Day 3 — exact commands to go from zero to your first paying client in 72 hours.
• 🖥️ Module 9 — Run AI on Any Budget From a free 8GB laptop (Tier 0) to a 5-node cluster (Tier 5). Every hardware option covered with install guides.