Staging environment
Free Lesson

Run and Analyze Experiments with CIaude Code

60 min
Mar 20, 2026 3:00 PM
Virtual (Zoom)

In this video

What you'll learn

How to run experiments using a clear, decision-led framework

Use AI to review experiment setup, metrics, assumptions, and results to assess trustworthiness and actionability.

Identify gaps and risks before acting on experiments with AI

Learn how AI helps surface design flaws, metric issues, and interpretation risks, to know when to ship, iterate, or stop

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Why this topic matters

Running experiments is not just about detecting statistical significance. It is about making the right decision with confidence. Strong experimentation requires applying a clear framework to design tests, assess validity, and interpret results in context. This lesson teaches that framework and shows how to use AI to practice applying it, assess execution quality, and improve decision-making.

You'll learn from

Sravya Madipalli

Sravya Madipalli

Senior DS Leader, Ex-Microsoft

Hai Guan

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Shane Butler

Shane Butler

Principal Data Scientist at Ontra

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