The AI Evals Career Fast Lane - 30-Minute On-Ramp

With 25+ years in tech across Capgemini, HPE, and TCS, and now as Chair and Co-founder of a cloud/data/AI consulting firm, IntelStack, I’ve spent my career helping large enterprises deploy technology safely, profitably, and at scale. My work advising banks, insurers, and mid-market firms puts me directly inside the boardrooms now wrestling with AI trust, evaluation, and governance. I’m seeing firsthand the gap between how fast AI is rolling out and how unprepared organisations are to judge whether these systems are safe, reliable, or economically sound. That gap is turning into one of the biggest career opportunities of this decade.

I’m teaching this because the market needs thousands of people who can evaluate AI, not just build it — and mid-career professionals are perfectly positioned to

Shen has spent nearly 20 years building and governing data and AI systems across McKinsey, Deloitte, EY and now as founder of multiple AI and data-engineering companies. He’s worked directly with banks, insurers, and public-sector organisations on large-scale data modernisation, governance, and AI-driven decision systems. Today he is the Founder of Towards AGI, a research and and AI lab that builds real evaluation tooling, agent workflows, and trust frameworks used inside enterprises that are struggling to deploy AI safely.

He teaches this because he sees the same pattern everywhere: AI is moving faster than organisations can evaluate or control it. Shen brings the technical depth behind metrics, drift, failure modes, and evaluation pipelines — all grounded in the real-world systems he’s sh

Students get practical, field-tested guidance on how AI behaves in production and how to turn evaluation skill into career le