AI Superpower: Build & Ship Your Production AI Agent in 3 Weeks
Nathan Wang
Built 15 AI Agents in 15 Weeks | Apple
Demos Are Easy. Production Is Hard. Ship Your AI Agent in 3 Weeks.
You've seen AI demos. Maybe you've even vibe-coded one. But shipping a real AI Agent—with auth, a database, and actual users? That's where everyone gets stuck.
This 3-week sprint, condensed from my $9,800 private program, takes you from zero to a live, deployed AI Agent on your own domain. No 6 months of syntax. No "no-code" ceilings.
By the end, you will:
🚀 Ship a live AI Agent—deployed for real users, not a localhost demo
🏗️ Understand the full stack—so you can evaluate and fix what AI generates
🤖 Work with the latest models—Claude, Gemini, and autonomous agent frameworks
🛠️ Skip the setup hell—using battle-tested auth, API, and deployment boilerplate
We build together. You leave with a link, not a tutorial.
What you’ll learn
Stop no-code hacks. Start from zero. In 3 weeks, build with AI agents and ship on your domain.
Deploy a Live Agentic Tool: Real users can access your agent via a custom URL, moving beyond "localhost" demos.
Escape the "No-Code" Trap: Own your source code, database, and deployment pipeline forever without being locked into proprietary platforms.
Professional Reliability: Integrate real-world logging and error tracking to catch bugs before your users do.
The Architect's Eye: Visualize the connection between Frontend, Backend, and AI to debug issues with high agency.
Technical "One-Pagers": Learn to translate product ideas into structured prompts that AI can accurately code for you.
Demystify the "Black Box": Trace data flow from user input to the LLM and back to understand exactly how your agent "thinks".
Beyond Chatbots: Build agents that use tools to scrape the web, read files, and write documents autonomously.
Persistent Memory: Implement database persistence so your agents remember user context across different sessions.
Reliable Guardrails: Engineer specific guardrails that prevent your AI from hallucinating or breaking character.
Zero-Friction Workflow: Follow my step-by-step workflow to configure your coding environment correctly in minutes.
Automated Troubleshooting: Use my exclusive "Execution Prompts" to let AI fix terminal errors and dependencies for you.
The Boilerplate Advantage: Launch with Auth, Database, and AI agent pre-wired in the battle-tested Antigravity boilerplate.
100% Syntax Completion: Learn specific prompting workflows to get SOTA models to write the majority of your code correctly.
Clean Code Refactoring: Use "Cursor" effectively to refactor messy code into clean, maintainable files.
The Coding Agent System: Use my exclusive system to enforce high-quality architecture and structure on every AI output.
Learn directly from Nathan
Nathan Wang
AI Builder Shipping 1 AI Agent / Week | PhD Engineer/TPM @ Apple and Meta
Who this course is for
Product & Program Managers
Stop waiting for engineers. Build high-fidelity prototypes yourself to validate ideas and unblock your roadmap.
Software & Hardware Engineers
You know logic but hate the Web Stack. Use AI to bridge the gap and translate your rigor into shipping apps.
Founders & Entrepreneurs
Stop paying agencies $20k. Escape the "No-Code" trap. Build, deploy, and own your production stack in just 3 weeks.
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.
My personal AI Agent Workflow
The exact blueprint I use to move from a "vibe" to a live, production-ready agent in 7 days.
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
3 live sessions • 25 lessons • 7 projects
Week 1
🏗️ Module 1.1: The Digital Restaurant Architecture
⚙️ Module 1.2: Environment Setup (The "Boring" Stuff)
👨🏻💻 Project 1: Design Your "One-Pager" Blueprint
👨🏻💻 Project 2: Build Your Landing Page
Mar
7
Live Session 1: Foundation, Modularity, and the API Waiter
Live Session 1: Summary
👨🏻💻 Project 3: The Building (Frontend & Backend)
Week 2
📦 Module 2: Setting Up the Kitchen (LangChain Setup)
Mar
14
Live Session 2: Designing the "Brain" of Your AI Agent
Live Session 2: Summary
👨🏻💻 Project 4: The Intelligence (AI Agents)
[Reading] ReAct: Synergizing Reasoning and Acting in Language Models
Free resource
%2520(3200%2520x%25201800%2520px)%2520(1).png&w=768&q=75)
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.
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, Mar 7
5:00 PM—7:00 PM (UTC)
Sat, Mar 14
4:00 PM—6:00 PM (UTC)
Sat, Mar 21
4:00 PM—6:00 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.
Testimonials
I came into this with zero coding background—I was mostly 'vibe coding' and guessing my way through. I hit a few real hurdles, like wrestling with a login bug on a Sunday afternoon and dealing with data ambiguity (finding the right 'Bergen'!), but Nate’s step-by-step logic and analogies made the technical mechanisms finally click.
I went from feeling like a novice to actually building and deploying a functional weather intelligence platform that now automates data exports directly into our Azure Data Lake for demand planning. This course proved I don't need a CS degree to build serious, integrated tools for my job.
Student Showcase: GC Rieber Minerals Weather
Erik D.
Senior ERP and Technology ManagerIf the goal is to be a mediocre coder, then just let the AI do it. It’s fine... but if the goal is to be one of the best software people in the world and build technologies that really matter, then you 100% want to still understand this thing all the way down the stack. You need to be able to understand what the AI is actually giving you.
Watch the full interview: Marc Andreessen: The Real AI Boom Hasn't Even Started Yet
Marc Andreessen
Co-founder and General Partner at a16z and Netscape Co-founder
Student Showcase 1: Turn Spoken Chaos into Interview Gold with AI
Speak your story. AI structures it into a perfect PAR narrative. Try it at parfolio.app
Student Showcase 2: Turn Unpredictable Weather into Precise Demand Planning
.png&w=1536&q=75)
Optimize inventory with AI weather data. See it live: agenticai-minerals-weather.onrender.com
Frequently asked questions
$1,536
USD