Proudly trained professionals at the world's most forward-looking organizations


















Learn from experts to build AI agents with to optimize, automate, and grow businesses.
Companies of all sizes are launching AI agent programs in 2025. The professionals who can build these systems will shape their organizations' futures. Those who can't will watch from the sidelines.
Agent Campus teaches you to build production-ready AI agents from scratch—with hands-on training from someone who's deployed these systems at AWS and Fortune 500 companies. Move from "AI sounds cool" to "Here's what we should build."
Agent Campus was founded to bridge the critical gap between emerging AI technologies and enterprise implementation. In a rapidly evolving landscape where organizations struggle to translate AI potential into practical business value, we provide the strategic education and hands-on training that leaders need to succeed.
Led by John Hwang, a Stanford-educated computer scientist with deep experience across technology leadership roles—from Generative AI Architect at AWS to Head of Volatility Index Trading at Morgan Stanley—Agent Campus delivers insights grounded in real-world AI deployment. Our programs combine cutting-edge technical knowledge with proven business strategy, empowering professionals to confidently navigate the AI transformation.
Solve Business Problems with AI Agents and Automation
Learn to build AI agents and AI automation that solve real business problems, mentored by ex-AWS AI engineer and Alexa PM.
John Hwang
Founder, Enterprise AI Trends | Ex-AWS AI, Alexa PM | Stanford CS
Build AI Employees for Marketing and Sales
Build AI employees that scale marketing, streamline sales, and increase profits, mentored by ex-AWS AI engineer and Alexa PM.
John Hwang
Founder, Enterprise AI Trends | Ex-AWS AI, Alexa PM | Stanford CS
Somil Aggarwal
Early Stage VC, Schmidt Futures
I was looking for concrete, practical ways to build AI agents but didn't know how to get started. John's workshop consolidated everything into a structured, easy-to-follow format that saved me hours of self-teaching. The lectures were engaging and informative, and the weekly build labs helped me apply concepts to real-world scenarios, culminating in a working prototype by the end of the workshop. I'd recommend this to anyone feeling overwhelmed by AI hype and looking for a clear, hands-on path to building agents.
Ojas P.
Data Scientist, WayFair
I now have a mental model of what an AI agent comprises, and how to build a (simple) one. John walked us through more complex agents and provided templates for complex agent workflows - for market research and business development, so that we had hands-on experience in building these. I also understand the terminology, best practices for agent building (useful when providing requirements / guiding someone else in describing their workflow to be delivered by an agent), and also the mechanics of a good prompt - which John threw into the course for good measure.
Colleen C.
Director of Product Management, NTT
John's class is the real deal. In a world overflowing with AI content, the challenge isn't access to information—it's filtering for quality. John cuts through the noise. His class delivered clear, actionable recommendations on tools and provided practical frameworks for thinking through the full lifecycle of implementing agentic use cases in real-world settings. Because he has built these systems hands-on, John brings detailed, practitioner-level insights—like how to reduce uncertainty in agentic systems—that I haven't encountered elsewhere. The labs and real-world examples he shared were especially inspiring; they sparked new ideas and helped me identify relevant use cases for my own work.
Sze. Y
Software Engineer, Private Equity
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