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3-Week Cohort 4.7 (3 reviews) $1,536 USD

AI Superpower: Build & Ship Your Production 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 a $9,800 private program, takes you from zero to a live, deployed AI Agent on your own domain.

Nathan Wang Next cohort: Mar 2 - 21, 2026 3 live sessions 25 lessons · 7 projects
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By the End, You Will

Ship a Live AI Agent

  • Deployed for real users, not a localhost demo
  • Custom domain + real authentication + error tracking

Understand the Full Stack

  • Evaluate and fix what AI generates — so you're never stuck
  • Trace data flow from user input to the LLM and back

Work with the Latest Models

  • Claude, Gemini, and autonomous agent frameworks
  • Specific prompting workflows to get models writing your code correctly

Skip the Setup Hell

  • Auth, APIs, and deployment using battle-tested boilerplate
  • Zero-friction environment setup in minutes, not days

The Rise of the "Super-Empowered Individual"

On Lenny's Podcast, Marc Andreessen (a16z) noted AI is collapsing role silos, creating the "Super-empowered Individual" as the future of elite builders. His warning: move from writing syntax to orchestrating AI bots, using systems-level knowledge to evaluate and fix agents effectively.

What You'll Learn

Ship a Production AI Agent to Your Own Domain

  • Deploy a live agentic tool — real users access your agent via a custom URL
  • Escape the "No-Code" trap — own your source code, database, and deployment pipeline
  • Integrate real-world logging and error tracking to catch bugs before users do

Understand Full-Stack Architecture (Without Writing It From Scratch)

  • The Architect's Eye: visualize Frontend, Backend, and AI connections to debug with high agency
  • Technical "One-Pagers": translate product ideas into structured prompts AI can code for you
  • Demystify the "Black Box": trace data flow from user input to the LLM and back

Build Autonomous AI Agents That Work While You Sleep

  • Beyond chatbots: build agents that use tools to scrape, read files, and write documents
  • Persistent memory so your agents remember user context across sessions
  • Engineer guardrails that prevent hallucinations or breaking character

Conquer Auth, APIs, and Deployment in Hours (Not Months)

  • Step-by-step workflow to configure your coding environment in minutes
  • Exclusive "Execution Prompts" that let AI fix terminal errors and dependencies for you
  • Launch with Auth, Database, and AI agent pre-wired in the battle-tested boilerplate

Evaluate and Fix AI-Generated Code With Confidence

  • Specific prompting workflows to get SOTA models to write majority of your code correctly
  • Use "Cursor" effectively to refactor messy code into clean, maintainable files
  • Exclusive coding agent system to enforce high-quality architecture on every AI output

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 3 weeks.

What's Included

Live Sessions

Learn directly from Nathan in 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 systems, and AI coding.

Production Code Templates

Complete codebase in production template. Clone and deploy immediately.

Personal AI Agent Workflow

The exact blueprint to go from "vibe" to a live, production-ready agent in 7 days.

Maven Guarantee

Full refund eligible up until the halfway point of the course.

Course Syllabus

3 live sessions · 25 lessons · 7 projects

Week 1: Mar 2 - 8
  • Module 1.1: The Digital Restaurant Architecture (4 items)
  • Module 1.2: Environment Setup — The "Boring" Stuff (5 items)
  • Project 1: Design Your "One-Pager" Blueprint (2 items)
  • Project 2: Build Your Landing Page (1 item)
Live Session 1: Foundation, Modularity, and the API Waiter · Sat 3/7 · 9:00 - 11:00 AM PST
  • Live Session 1: Video Summary
  • Live Session 1: Slide Summary
  • Project 3: The Building (Frontend & Backend) (3 items)
Week 2: Mar 9 - 15
  • Module 2: Setting Up the Kitchen (LangChain Setup) (3 items)
Live Session 2: Designing the "Brain" of Your AI Agent · Sat 3/14 · 9:00 - 11:00 AM PDT
  • Live Session 2: Video Summary
  • Live Session 2: Slide Summary
  • Project 4: The Intelligence (AI Agents) (1 item)
  • Reading: ReAct — Synergizing Reasoning and Acting in Language Models
Week 3: Mar 16 - 21
  • Module 3.1: Buying Your Digital Real Estate (Domain) (4 items)
  • Purchase your .com domain and deploy your Flutter Frontend to Hostinger so anyone can visit it.
  • Module 3.2: Renting Your Kitchen (Azure VM Setup) (3 items)
  • Move your backend from your laptop to a cloud server that runs 24/7.
Live Session 3: Launching Your Agent to the World · Sat 3/21 · 9:00 - 11:00 AM PDT
  • Project 5: The Grand Opening (Production) (1 item)

Schedule

Live Sessions

2 hrs / week

2-hour weekly live build where we code together, review your progress, and unblock you. Short demos, guided implementation, and open Q&A.

Hands-on Projects

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 UX.

Alumni Reviews

"As a true AI builder, Nate was generous with his time and knowledge. Nate took us through step-by-step on how to get from idea to production app in three weeks. I've already been vibe coding with AI agents prior to this course, but it was immensely helpful to get deeper in the weeds, build understanding, and get hands-on experience with FastAPI, Flutter, Firebase, LangChain/LangGraph, Hostinger, and Azure."

Nicola

Lead Product Manager · Fintech

"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, 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. This course proved I don't need a CS degree to build serious, integrated tools for my job."

Erik

Senior ERP and Technology Manager · GC Rieber Minerals AS

"I would say this course was great but not completely matching my needs about understanding how an LLM consumes context and how to improve that. But overall great experience!"

Toni

Product Designer · Contentful

Student Showcases

Your Instructor

Nathan Wang

Built 15 AI Agents in 15 Weeks · Apple, Meta, LinkedIn

I've spent 15+ years at the intersection of AI, software, and hardware. As an educator, I've taught 50,000+ students across Udemy and LinkedIn Learning. As a builder, I've shipped 15 real AI products in 15 weeks. Earlier in my career I designed CPUs/GPUs and built production web and mobile apps, so I understand AI from silicon to shipped product.

  • 15+ years across AI, software, and hardware (Apple, Meta, LinkedIn)
  • Taught 50,000+ students via Udemy and LinkedIn Learning
  • Shipped 15 AI products in 15 weeks (Momento AI, Kindred AI, Context AI...)
  • Built 20+ production apps across web, iOS, and Android

Frequently Asked Questions

What happens if I can't make a live session?

All sessions are recorded and you'll have lifetime access to the course materials. Learn at your own pace and revisit whenever needed.

I work full-time. What is the expected time commitment?

Around 4-6 hours per week, including live sessions and hands-on projects. You can adjust the pace with recorded sessions and flexible deadlines.

Do I need a coding or AI background to join?

No. We start from a clean template and use AI pair-programming tools (Antigravity/Gemini 3.0 Pro/Claude Opus 4.5) to guide you. Basic comfort with using a computer is enough.

Will I keep access to the code and templates after the course?

Yes. You'll keep full access to all starter repos, patterns, and the app you build. Reuse the template for future projects and continue with recordings and resources.

Why Claude Code + Antigravity / Gemini 3.0 Pro?

The industry shifted from chat to agents. Manager View lets you watch multiple agents build in parallel. Artifacts let you review plans, code and diffs. Gemini 3.0 Pro drives terminal, installs, tests, and debugs. Claude Opus 4.6 tops SWE-bench and designs systems.

What's the refund policy?

Backed by the Maven Guarantee. Full refund eligible up until the halfway point of the course.

Ready to Ship Your AI Agent?

Join the 3-week cohort. Next start: Mar 2, 2026

$1,536 USD
Enroll Now
Covered by the Maven Guarantee