Stop No-Code Ceilings. Build & Ship a Real AI App in 3 Weeks
Tired of hitting the no-code ceiling?
Tools like n8n, Bubble, Lovable are perfect for demos—but brittle in production. You hit plan limits, fight scaling quirks, and stay locked into someone else’s stack. On the flip side, coding AI agents from scratch dumps you into repos, env vars, auth, databases, and deploys before you’ve even shipped v1.
This 3-week, hands-on sprint helps you ship a production-ready AI app on your own domain—even if you don’t write code today.
By the end, you will:
Launch a live AI app real customers can use.
Work with Antigravity and Gemini 3.0 Pro to build, refactor, and test features quickly.
Plug in APIs, auth, persistence, logging, and error tracking so things don’t break silently.
Use a simple, reusable agent architecture (tools, memory, guardrails, evals) you can reuse for your next idea.
We’ll build together in live sessions, using a battle-tested starter repo, AI-first workflows, and production checklists so you leave with confidence—not another fragile prototype.
For PMs, founders, and operators who want to ship independently instead of waiting on the engineering queue.
What you’ll learn
Stop no-code hacks. Start from zero. In 3 weeks, build with AI agents and ship on your domain. 5 spots remaining (Strict limit of 10).
Scope one high-ROI use case so you’re building a real workflow, not a toy demo
Create a one-pager with users, success metrics, and must-have features you can share with stakeholders
Turn that spec into your north star so every line of code points toward launch
Set up a clean GitHub repo, env files, and run scripts that Antigravity/Gemini 3.0 Pro can safely work in
Expose typed FastAPI endpoints with Pydantic models, validation, and meaningful errors
Wire Firebase Auth and Firestore schemas so you can securely persist user state from day one
Design tools, memory, and guardrails in LangChain/LangGraph so you can reason about every agent step
Write prompts and workflows that survive refactors instead of breaking on minor code changes
Document your agent module so you can extend it later—or hand it off to another engineer
Scaffold a responsive UI that calls your typed APIs and triggers real agent actions
Connect views, forms, and feedback states so the app feels trustworthy to real users
Go from “CLI demo” to “shareable link” that you’re comfortable showing customers
Add logging, rate limiting, retries/backoff, and a background worker to handle spikes safely
Use LangSmith traces and lightweight evals to catch latency, cost, and quality regressions early
Integrate an external API with OAuth/webhooks, idempotency, and tests to avoid duplicate jobs or phantom charges
Containerize FastAPI and deploy it on an Azure VM behind Nginx/Caddy with HTTPS on your own domain
Hook up GitHub Actions so merges rebuild Flutter web, ship your backend image, and restart with zero downtime
Leave with a documented, reusable starter repo you can clone to go from blank to shipped in hours
Learn directly from Nathan
Nathan Wang
AI Builder & Educator | Shipping 1 AI product/week
Who this course is for
PMs & Product Leads
Rely on eng today. Learn to code with AI and ship a real production-ready app on your own domain.
Founders & Operators
Hit no-code ceilings? Replace fragile stacks with repos, APIs, and simple deployments.
Data/Automation Pros
Comfortable with SQL/sheets. Go hands-on with AI-assisted coding, APIs, and shipping.
What's included
Live sessions
Learn directly from Nathan Wang in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
AI Prompt Library
Pre-built prompts for memory extraction, agentic system, and AI coding. Copy-paste ready for your AI product.
Production Code Templates
Complete codebase in production template (scalable, multi-user). Clone and deploy immediately.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Jan
10
Live Session 1: Build AI That Solves YOUR Problem
Week 2
Jan
17
Live Session 2: From Personal Tool to Public Product
Free lesson
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AI Coding Zero-to-Working: Cursor + Claude Jumpstart
Install Cursor & Claude Code (verified)
Install Cursor, set up and log in to Claude Code, and confirm the Claude panel runs a test inside Cursor.
Build a brandable landing page with AI
Use Claude in Cursor to generate index.html + styles.css with a hero, value prop, features, social proof, and CTA
Publish a shareable version (optional)
Open locally or drag-and-drop the site folder to Hostinger to get a public URL in minutes.
Schedule
Live sessions
2 hrs / week
2-hour weekly live build where we code together, review your progress, and unblock you. Expect short demos, guided implementation, and open Q&A so you leave each session with real features shipped—not just theory.
Sat, Jan 10
5:00 PM—7:00 PM (UTC)
Sat, Jan 17
5:00 PM—7:00 PM (UTC)
Sat, Jan 24
5:00 PM—7:00 PM (UTC)
Hands-on Project
2-4 hrs / week
Time you’ll spend building your own AI production ready app: following step-by-step tasks, wiring APIs and auth, fixing bugs, and polishing the UX so your project is ready to demo and share with real users by the end.
Frequently asked questions
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$1,397
USD