Stop playing with AI. Start building with it.
Too often, software teams treat AI coding tools as a magic bullet. They buy Copilot or Cursor licenses, hand them to their developers, and expect immediate 10x gains. But without standardized systems, the result is just slightly faster typing, fragmented workflows, and a codebase cluttered with hallucinated boilerplate. The stakes are too high, and engineering hours are too expensive, to treat AI like a glorified autocomplete.
If you want to outpace your competitors, your team has to learn how to operate agentic workflows correctly, and fast. In this technical, hands-on workshop, we move past the basics of prompt engineering. We break down the complex mechanics of AI coding workflows and turn them into deployable, systemic leverage. We bring your core engineering team together to leverage Model Context Protocol (MCP), set up custom agent skills, and deploy agentic design patterns that write, test, and verify code autonomously.
I teach production-ready best practices, not high level academics. Drawing from my experience building an AI startup from zero to global deployment, training over 5,000 professionals across 20+ countries, and racking up 30 patents along the way, I know what it takes to scale AI reliably. I'll show your leadership and development teams how to stop experimenting with fragmented AI tools and start building a standardized, AI-native engineering machine.
