Watch Me Build & Deploy an AI Agent in 30 Minutes — Live

Hosted by Nathan Wang

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Build Your First AI Agent in 2 Hours
Nathan Wang
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What you'll learn

Build a real AI agent — live, from scratch, in 30 minutes

No slides. No theory. We open Claude Code, describe what we want in plain English, and deploy a working agent — live.

The 3-layer pattern behind every agent I've shipped

Frontend → Backend → AI Brain. The architecture behind all 18 products I've built. See it once, build anything.

Why agents fail in production — and the 3 fixes that prevent

90% of first agents break within a week. I'll show you the 3 architectural mistakes that kill them — and the production

Why this topic matters

Most AI courses teach you about agents. This one builds them live. I run 20+ AI agents that trade stocks, publish content, and manage my business — all built the same way: one afternoon, one problem, one deployed agent. In this 30-minute session, I'll demo the exact process. Then on April 25, you do it yourself — two hours, hands-on, and you walk out with a real agent running.

You'll learn from

Nathan Wang

20+ AI Agents Running 24/7 | 18 Products | PhD Engineer/TPM @ Apple & Meta

I run 20+ AI agents 24/7. They trade my stocks, publish content across 10 platforms, extract video clips, and manage operations — while I sleep.

50,000+ students across Udemy and LinkedIn Learning. 18 AI products in 18 weeks to 3,000+ real users.

This session previews the 3-week course where you build your first production AI agent — the same building block behind my 20-agent system.


Career highlights:

  • Runs 20+ autonomous AI agents 24/7 — trading stocks, publishing content, managing 10 social platforms.
  • Shipped 18 AI products in 18 weeks to 3,000+ users: ClawBot, Trade AI, Creator AI.
  • Taught 50,000+ students via Udemy and LinkedIn Learning.
  • 12+ years at Apple, Meta, LinkedIn.
  • Building a memory-first AI agent OS.
See all products from AI Superpower

Experience at

Meta
Apple
LinkedIn
Udemy

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