What you will learn.
The senior engineers and engineering managers we work with are being asked harder questions every quarter. Should we fine-tune? Should we build a platform team? What do we owe our regulated customers? When is the agent a feature versus a product? Who do we hire and what for? The answers are not in a blog post.
This is an eight-week leadership program for engineering managers, directors, and staff-plus ICs in technical-leadership roles. It is a small cohort by design — twenty seats — and the format is heavier on writing and discussion than on code. We cover organizational design for AI work, capability planning, hiring and growing AI engineers, cost and platform decisions, risk and regulatory posture, communicating quality and uncertainty up the chain, and the leadership disciplines required to keep an AI org honest. The capstone is a substantial written work — your own AI strategy memo — that the instructor and your cohort review.
This is our most expensive course because it is the smallest, the longest, and the one where the writing requires the most instructor time. It is also the one most often paid for by employers.
