Guardrails: Accuracy, Bias, and Not Over-Trusting AI

Know how AI analysis goes wrong — hidden bias, misread context, confident errors — and build checks that catch it. You'll create a data-QA checklist you run before any number leaves your hands.

The full video walkthrough is coming soon. In the meantime, this lesson covers the technique from first principles, with a worked example and a concrete deliverable you can add to your portfolio.