AI-Agent Coding & Deployment for Non-Coders

New
·

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

Apple
Udemy
LinkedIn

Course overview

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 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.

Who is this course for

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.

What you’ll get out of this course

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.

What’s included

Nathan Wang

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

Nov 10—Nov 16

    Nov

    15

    Live Session 1: Build AI That Solves YOUR Problem

    Sat 11/155:00 PM—7:00 PM (UTC)

Week 2

Nov 17—Nov 23

    Nov

    22

    Live Session 2: From Personal Tool to Public Product

    Sat 11/225:00 PM—7:00 PM (UTC)

Week 3

Nov 24—Nov 29

    Nov

    29

    Live Session 3: Ship to the World (Live Product Launch)

    Sat 11/295:00 PM—7:00 PM (UTC)

Meet your instructor

Nathan Wang

Nathan Wang

I've spent 15+ years at the intersection of AI, software, and hardware:

  • As an Educator: Taught 50,000+ students on platforms like Udemy and LinkedIn Learning. I've developed 20+ courses and refined what works. I know what confuses beginners.
  • As an AI Builder: Shipped 12 AI products in 12 weeks: Momento AI, Kindred AI, Context AI, Creator AI, Builder AI, Author AI and more. Not demos, but real products people use every day.
  • As a Software Engineer: Built 20+ applications across web, iOS, and Android—from concept to production. From personal projects to products used by professionals at tech companies.
  • As a Hardware Engineer: Designed CPUs and GPUs that power AI infrastructure. 5 years in chip design and manufacturing. I built the hardware that makes AI possible.


Here's what I learned:

  • You don't need a PhD to build AI products. You don't need years of machine learning experience. You need 3 patterns.
  • In this Lightning Lesson, I'll show you Pattern #1the foundation behind all 12 products.
  • My mission: Help working professionals become AI Builders without quitting their job or getting a computer science degree.


Why trust me?

I've been on every side of AI:

  • Deep research (designing chips, understanding LLM infrastructure)
  • Practical building (shipped 12 AI products in 12 weeks—real apps people use daily)
  • Teaching (refined over 20+ courses and 50,000+ students)


I'll show you the shortcut. See you in the live session.


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Stay Connected

🐦 X/Twitter: Follow @AI_Nate_SA for daily AI building insights

💼 LinkedIn: Connect with Nathaniel Wang for career-focused AI content

💬 Discord: Join AI Builder Community for live help and peer learning

🎥 YouTube: Subscribe to AI-Nate Channel for free tutorials

Previously at Apple, Udemy, LinkedIn

Apple
Udemy
LinkedIn
Build Your First AI App in 30mins with AI Coding

Build Your First AI App in 30mins with AI Coding

Build your first working AI app — and watch it come alive

See your app respond in real-time. No AI experience needed. Get working code you can customize immediately.

The pattern behind ChatGPT and successful AI products

Memory-First Architecture — the secret separating AI toys from tools. The pattern I used for all 12 AI products.

Get production-ready code templates (exclusive to attendees)

Leave with working code templates you can immediately customize for your own AI app ideas starting Saturday morning.

Get the free recording

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Join an upcoming cohort

AI-Agent Coding & Deployment for Non-Coders

AI Builder Cohort 1

$1,397

Dates

Nov 10—29, 2025

Payment Deadline

Nov 8, 2025
Get reimbursed

$1,397

USD

3 Weeks