Stop playing with AI. Start building with it.
For enterprise IT teams, AI coding tools are often sold as a magic bullet. You buy Copilot or Cursor licenses, hand them to your developers, and wait for the immediate 10x gains.
But without standardized systems, the result is just slightly faster typing. Fragmented workflows. A codebase cluttered with hallucinated boilerplate.
The stakes are too high to treat AI like a glorified autocomplete.
When your core business isn't selling software, whether you're in insurance, logistics, or enterprise sales, your internal development teams have to be wildly efficient. They need 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 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 AI from zero to global deployment, training over 5,000 professionals, and racking up 30 patents along the way, I know what it takes to scale AI reliably within complex organizations.
I'll show your leadership and development teams how to stop experimenting with fragmented AI tools.
It's time to build a standardized, AI-native engineering machine.
