Build a Machine Learning Model with Claude in 15 Minutes

Part of The AI Evaluation Handbook

Hosted by Dr. Nicole Radziwill

Thu, Jul 2, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Invite your network

What you'll learn

Match Your Business Problem to an ML Method

Learn the one question that helps you figure out which family of ML models to consider... in an instant.

Use Offline ML to Drive Value Really Fast

Very few ML models require robust technical infrastructure that learns in real-time from newly arriving data.

Go From Spreadsheet to Model in under 30 Minutes β€” No Coding

We'll start with a spreadsheet containing real data and leave with a solved business problem.

Why this topic matters

AI assistants like Claude put powerful ML in everyone's hands, but YOU have to know what to ask... and how to judge the results. Learn the difference between online and offline ML, how to ask for and evaluate models, and how to share results with tech teams. You won't have to wait on data teams to build defensible models that answer your business questions immediately.

You'll learn from

Dr. Nicole Radziwill

Tech CxO, AI Quality pioneer, former CDO & Chief Data Scientist

I've built intelligent systems for over 25 years, and I'm still hands-on today as Co-Founder and Chief AI Officer at team-x.ai. As a former Chief Data Officer, Chief Data Scientist, SVP, and tenured associate professor, I mentored 5,000+ students in data science and applied ML, and my textbooks are used at 30+ universities in 10+ countries. I'm among the few elected as both an IAQ Academician and ASQ Fellow... quality's highest honors. I've advised 42+ executives and delivered 20–300% ROI on real AI initiatives. I teach what works: quality-first AI that turns your exciting ideas into real business value you can measure and sustain.

Helped Organizations Like:

Hyatt
Cargill
Pepsi
National Radio Astronomy Observatory
TD Bank
See all products from Nicole

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.