Get confident in your AI Strategy

"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

"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

"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

"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

"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

"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