Lead AI Strategy Without Writing a Line of Code

You are already being asked to make decisions about AI — on timelines, at budget levels, and with reputational consequences that your data science team will never face. And if you are honest with yourself, there is a gap between the confidence those decisions require and the depth of understanding you currently have. Not because you lack intelligence or leadership capability. But because no one has ever translated this technology into language built for the decisions you actually make.

That gap is expensive. It shows up when you approve a vendor recommendation you cannot fully evaluate. When you cannot tell your board with precision what your AI risk exposure actually is. When a foundation model deployment creates an IP or privacy incident that your governance framework was not designed to catch. When your AI KPI reporting is disconnected from the financial and quality metrics your organization already trusts. I built this program because I have seen what happens at the leadership level when AI strategy is delegated entirely to technical teams — and I have seen what becomes possible when a senior executive can engage at the level of architecture, governance, and financial consequence with genuine fluency.

This program is rigorous by design. We will cover the architecture landscape — CNNs, RNNs, Transformers, GNNs — not so you can build them, but so you can interrogate them. We will work through foundation model adoption pathways — prompting, fine-tuning, RAG — through the lens of cost, security, IP risk, and ethical accountability, because those are the trade-offs landing on your desk. We will build governance frameworks, evaluation scorecards, risk registers, and KPI dashboards that integrate directly into the reporting structures your board already uses. Every concept is anchored in strategic consequence and financial reality, because that is the language of the decisions you are accountable for.

By the time you complete the capstone, you will have a boardroom-ready portfolio: a phased implementation roadmap with governance checkpoints, a model evaluation scorecard, a live AI risk register, an executive KPI dashboard, and a board-level briefing that demonstrates — to your organization, your investors, and yourself — that you are not just overseeing AI. You are leading it.

If you are ready to close the gap between the decisions you are being asked to make and the depth of understanding those decisions deserve, this program was built for you. I look forward to working with you.