Tech Leader Path
You've built and led systems for years. This path gives you the accurate mental model for how AI agents work — no boilerplate, no hand-waving. Just the concepts that inform good technical decisions.
What you'll come away with
- ✓ Why AI agents are fundamentally different from traditional software — and what that means for architecture
- ✓ What tools, MCP, and skills actually are at the protocol level (not marketing)
- ✓ How to evaluate AI tooling choices: build vs buy, local vs cloud, open protocol vs proprietary
- ✓ The security and trust model — what an AI agent can and cannot do on its own
Your curriculum
Architecture Overview — For Tech Leaders
The three-layer model that powers every AI agent — and the architectural decisions each layer puts on your plate.
What is an LLM — For Tech Leaders
The accurate mental model for Large Language Models — what they actually are, what they can and can't do, and what that means for your technical strategy.
Tools — For Tech Leaders
What tools mean for AI architecture — the trust model, the control boundary, and what it means that the model never executes anything directly.
MCP — For Tech Leaders
Why MCP matters for your AI strategy — the standard protocol that eliminates vendor lock-in and turns N×M integration problems into N+M.
Skills — For Tech Leaders
How skills keep AI agents lean and expert at the same time — just-in-time knowledge loading as a context management strategy.