3 Weeks
·Cohort-based Course
Stop no-code hacks. Start from zero. In 3 weeks, code with AI agents and ship on your domain. Become a 10× AI coder. Only 10 seats.
3 Weeks
·Cohort-based Course
Stop no-code hacks. Start from zero. In 3 weeks, code with AI agents and ship on your domain. Become a 10× AI coder. Only 10 seats.
Previously at Apple, Udemy, LinkedIn
Course overview
Tired of hitting the no-code ceiling?
Tools like n8n/Bubble/Lovable are great for prototypes, but they stumble in production: plan-based and self-host concurrency pitfalls (you must configure queue mode or you’ll thrash the event loop), opaque scaling, and plan “hard limits.” Most platforms keep you locked in with restricted code export—hard to migrate when you outgrow them. Lovable also still needs basic dev skills, has prompt sensitivity, and free-tier message caps that block serious building. Net result: brittle automations, vendor lock-in, and apps that can’t reliably serve real users.
If you don’t code today, AI agents still feel out of reach. Even with Claude Code or Cursor, non-coders get stuck on repo structure, environment variables, auth, databases, logging, and how to ship to a real domain. Demos impress—but aren’t hardened for thousands of users.
What you’ll be able to do in 3 weeks
- Ship a production-ready AI micro-app on your domain, usable by real customers.
- Work with AI coding agents like Claude Code & Cursor effectively (prompting, refactor loops, tests).
- Use a proven agent architecture (tools, memory, guardrails, evals) without getting lost in framework jargon.
- Wire APIs, auth, persistence, background jobs; add logging, error tracking, and rate limiting.
- Deploy with modern hosting and CI/CD; set up monitoring so issues surface before users feel them.
- Leave with a reusable, documented template you can repurpose for your next app.
How we’ll get you there
- Live, step-by-step builds: I guide you from blank repo → working app → production deploy (front-end + back-end).
- Battle-tested templates: A polished starter (clear file structure, infra scripts, env management) to keep AI agents from hallucinating un-usable code.
- AI-first workflows: Exact prompts, guardrails, and “agent loops” for implementing features fast—without sacrificing reliability.
- Production checklists: Security, observability, error budgets, rollbacks, and a cut-over plan so you can launch with confidence.
Who this is for
PMs, founders, and data/automation pros who rely on eng today but want to build and ship independently—without no-code compromises.
Outcome: Stop waiting on a dev team. Become a 10× AI coder and launch something real on your own domain.
01
PMs & Product Leads
Rely on eng today. Learn to code with AI and ship a real micro-app on your own domain.
02
Founders & Operators
Hit no-code ceilings? Replace fragile stacks with repos, APIs, and simple deployments.
03
Data/Automation Pros
Comfortable with SQL/sheets. Go hands-on with AI-assisted coding, APIs, and shipping.
Pick a shippable use case
Scope a micro-app that solves one real problem. You’ll create a one-pager with users, success metric, and must-haves so every build step maps to launch.
Set up repo, secrets, and local dev
Initialize a clean GitHub repo, env files, and run scripts. You’ll have a working local stack so Claude Code/Cursor can iterate without breaking configs.
Build the agent core with LangGraph
Implement tools, memory, and guardrails you can reason about. You’ll leave with a documented agent module and prompts that survive refactors.
Wire Firebase Auth & Firestore
Add sign-in (email/OAuth), JWT verification in FastAPI, and Firestore schemas/indexes. You’ll persist user state safely with server-side checks.
Ship a usable Flutter frontend
Scaffold a responsive UI (web/mobile) that calls typed APIs. You’ll connect views → agent actions and be demo-ready on day one.
Expose typed APIs with FastAPI
Create async endpoints with Pydantic models, validation, and errors that make sense. You’ll have OpenAPI docs your future self can trust.
Add observability with LangSmith
Trace runs, version prompts, and run lightweight evals. You’ll spot latency/cost issues and catch regressions before users do.
Harden reliability & safety
Add rate limiting, I/O validation, retries/backoff, and a background worker. You’ll keep spikes and flaky APIs from taking you down.
Integrate an external API the right way
Connect OAuth/webhooks with idempotency and tests. You’ll avoid duplicate jobs, phantom charges, and brittle automations.
Deploy your FastAPI backend on Azure VM (your domain)
Containerize the FastAPI backend and run it on an Azure VM behind Nginx/Caddy. Enable HTTPS with Let’s Encrypt, map Hostinger DNS to your domain, and hook CI to redeploy on merge. I’ll also show how to apply for up to ~$5k in Azure credits.
Add CI/CD, analytics & feedback loop
GitHub Actions builds Flutter web, ships FastAPI image, and restarts with zero downtime. You’ll capture usage, feedback, and errors to guide v2.
Leave with a reusable template
Package the repo into a starter you can clone for your next idea. You’ll have scripts, checklists, and docs to go from blank to shipped in hours.

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.
Nov
15
Nov
22
Nov
29
I've spent 15+ years at the intersection of AI, software, and hardware:
Here's what I learned:
Why trust me?
I've been on every side of AI:
I'll show you the shortcut. See you in the live session.
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Previously at Apple, Udemy, LinkedIn
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