Free Lesson

AI Hallucinations: Explained (and how to deal with them)

45 min

Jun 4, 2026 4:30 PM

What you'll learn

Spot when AI is most likely to hallucinate

Identify high-risk prompt types, subject domains, and output patterns where AI is likely to fabricate information.

Know when to trust AI and when to verify

Apply a graduated trust framework, separating low-stakes output from tasks where verification is non-negotiable.

Practical strategies to catch AI errors

Easy-to-do habits you can do right now to reduce your exposure to hallucination-driven errors.

Why this topic matters

Chances are you've used AI at work. Maybe you've copy-pasted something you got from AI, cited something it found, or trusted a summary it produced. But here's something people are starting to realize: AI doesn't know when it's wrong. Worst yet? It won't warn you when it is. One mistake can put your professional reputation at risk. This workshop is designed to systematically mitigate that risk.

You'll learn from

Dom Michalec

VP, Learning @ Morning Intelligence

I've taught industry-leading professionals from:

Trusted by industry leaders at:

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