The Cornell Certificate
Designing and Building AI Solutions, a five-course Cornell certificate I teach. For product leaders, engineers, and analysts who want to ship AI that actually works. No coding required.
What you'll learn
- How to frame an AI problem so it's solvable, not just trendy.
- Choosing between classical ML, LLMs, and hybrid approaches.
- Designing for evaluation from day one, the moat is in the eval data.
- Generative AI vs deep neural networks, when each wins.
- Handling data quality, drift, and the things that go wrong in production.
- How to think about cost, latency, and tradeoffs at the system level.
Format
- Five courses, fully online, self-paced.
- Integrated AI Teaching Assistant built on OpenAI.
- Industry case studies across media, healthcare, retail, finance.
- Guest interview segments from 27 practitioners (see below).
Guest panel
The course features short interview segments with people actually building AI in production:
- Kenneth Cukier
- Aneesh Chopra
- Allen Blue
- Colin Walsh
- Adrian Monck
- Shashi Thakur
- Elizabeth Burstein
- Dr. Richard Socher
- Dr. Igor Perisic
- Reetu Kainulainen
- Andrew Fogg
- Raphael Leiteritz
- Tariq Rauf
- Brad Cordova
- Dr. Guido Appenzeller
- Dr. Guy Berger
- Christian Meermann
- Filip Dames
- Gilad Lotan
- Savita Kini
- Rachel Zhang
- Yann Lechelle
- John Buckman
- Vladimir Danila
- Torben Gerkensmeyer
- Shiang-Wan Chin
- Jasper Masemann
Related programs I teach
- The Keynote on AI, live series with practitioners.
- Hands-On AI Agent workshops, two 3-hour sessions.
Last updated: 2026-05-26.