AI Coding 8-Week Bootcamp: From Writing Code to Monetized Delivery × Dev Environment × 6 Practice Projects × Two Flagship Products × Closed Commercial Loop × Cross the Profit Line

Course intro

This course systematically teaches the complete progression path of AI programming: from dev-environment setup, basic coding, six practice projects, two flagship products, to commercial delivery. Stage 1 solidifies the dev environment (Git / Node.js / VSCode / Claude Code / GLM4.7 / Chrome), AI-wired database and API services, and AI-built object-oriented programs and automation tools. Stage 2 practice projects cover: desktop voice assistant (dev environment → core features → context management → large-model error correction → exe packaging); custom Xiao-Bawang game console (MVP scaffolding → web page structure → Supabase database → admin panel → Vercel deploy → domain purchase and DNS); SF logistics data analysis; office-supplies procurement system; Obsidian daily-note generator; one-stop local drawing pipeline. Stage 3 flagship products: build an AI-coding learning platform from zero (requirements analysis and commercial positioning → database design → backend and frontend development → AI integration → deployment online → payment monetization loop); AI-driven personal knowledge-management system (content collection → vector-database retrieval → knowledge-base intelligent QA → Agent workflow automation → product packaging and deployment). Graduation standard: a publicly accessible online product + connected payment channel + completed product pitch.

Who it suits

1. Developers with AI-coding basics wanting to ship products for monetization.

2. Startup product people wanting to go from coding to selling AI products for profit.

3. Workplace technical staff who need to complete the project-deployment/payment/operations full chain.

4. Programming learners wanting real commercial projects that go on a resume.

5. Advanced developers wanting to move from a local demo to a publicly accessible deployed product.

What you gain

1. Master AI-coding environment setup and AI-wired database/API services.

2. Independently complete six practice projects: desktop voice assistant, mini-game console, logistics data analysis, procurement system, Obsidian daily-note generator, local drawing pipeline.

3. Build an AI-coding learning platform and enterprise-grade knowledge management system from zero.

4. Master RAG vector-DB integration, cloud deployment, payment integration, closed commercial loop.

5. Ship a publicly accessible product, connect the payment channel, and complete a product pitch.

Video screenshots.

Course outline (compressed)

Stage 1 - environment and foundations: tools overview; Git/Node.js/VSCode install and config; GLM4.7 chief AI engineer; Claude Code install and config; cc-switch lightweight model switcher; Chrome intro; AI-wired database and API services; AI-built OOP programs and automation tools.

Stage 2 - six practice projects: desktop voice assistant (environment setup, core features, context management, Claude programming tips, exe packaging, Feishu/Multi-dim tables integration, large-model voice error correction, sensitive-info protection); custom Xiao-Bawang game console (MVP, static web, web three-pillar tools, Supabase DB and cloud storage, admin panel, dynamic frontend game library, Play page, login, Chrome-DevTools-MCP tool, Vercel deployment, domain purchase to solve mainland China access); SF logistics data analysis; office-supplies procurement system; Obsidian daily-note generator; local drawing one-stop pipeline. Bonus: select suitable index funds for yourself.

Stage 3 - two flagship products: from-zero AI-coding learning platform (requirements analysis and commercial positioning, database design, backend dev, frontend dev, AI integration and deployment, monetization loop); AI-driven personal knowledge management (content collection module, vector database and retrieval, knowledge-base intelligent QA, Agent workflow automation, product packaging and deployment). Supporting materials: Feishu materials.

*Note: for introduction only, no income promise; results vary with your own effort.*