🧠
MODULE 01
Foundations
AI/ML basics, privacy principles, data minimization, and self-hosting. Build the mental model for every system that follows.
Learn to build AI systems that respect user privacy — self-hosted, open source, zero-tracking
From first principles to production systems. Each module pairs theory with hands-on labs you run on your own hardware.
AI/ML basics, privacy principles, data minimization, and self-hosting. Build the mental model for every system that follows.
Ollama setup, model selection, prompt engineering, and local inference. Run capable models entirely on your own machine.
Build billing-gated, rate-limited AI APIs with Python http.server and session auth. The backbone of a privacy-respecting product.
Zero-knowledge systems, federated learning, and differential privacy. Design so that even you can't read your users' data.
nginx hardening, TLS, rate limiting, fail2ban, and containerization. Ship AI without exposing it to the open internet's noise.
Subscription billing, hybrid payments (crypto + bank), and API key management. Turn a self-hosted service into a business.
Chat apps, code review tools, research assistants, and content platforms. Capstone builds you can ship and charge for.
Powered by the kimi-k2.7-code:cloud model with webx11-devcourse fallback. Ask about any module, lesson, or concept — answered with AI assistance.
I can explain any module, walk you through a lab, or clarify privacy concepts. Try one of these:
Start with Module 1 — no account required. When you're ready to deploy, your WebX11 space is waiting.