A one-week virtual intensive that gives leaders a concrete, working knowledge of how modern AI actually behaves — and a 90-day plan to put it to work responsibly. We call this discipline context engineering: the art of managing the finite attention of AI systems.
Most executive AI training stops at vocabulary and vendor logos. This course goes deeper, exploring the emerging field of context engineering. You will learn the core mechanics that explain why these systems behave the way they do: the finite context window, the U-shaped attention curve, the line between a model and the world, and the difference between a skill and an agent. Context engineering is broader than "agentic engineering", because every interaction with an AI is a context problem, whether or not an agent is involved. You leave able to reason about AI, not just talk about it.
Four live lectures bracket a self-paced build period. Between sessions you work hands-on with Claude, supported by an always-available AI tutor. All times are cohort-local; sessions are recorded.
Each session is a full slide deck. Open one and use ← / → (or space) to navigate; press R to restart.
You learn AI by using it. Three build exercises during the week turn the lecture concepts into muscle memory; the capstone turns them into a plan for your organization.