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Debug the weird stuff your AI does (in less than 1 hour)

Hosted by Marily Nika and Hamel Husain

Tue, Mar 17, 2026

5:00 PM UTC (45 minutes)

Virtual (Zoom)

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AI Product Management 101 & Certification - Building AI Products end-to-end
Dr. Marily Nika
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What you'll learn

Actually look at what your AI is doing

We'll show you how to pull 20 examples that represent the full range of your product's behavior, not just the obvious.

Turn "vibes" into a vocabulary

We'll show you how to name your failures specifically so your team knows exactly what to build against.

Know what to fix first

You'll leave with a prioritized list of 3-5 issues ranked by how often they occur and how much they hurt the experience.

Why this topic matters

PMs are the bridge between what users need & what eng builds. When AI products fail, PMs often can't translate that intuition into fixable problems. Develop the sense that separates PMs who ship AI that works from those who ship AI that "kinda works." Marily saw 100+ AI failures at Google/Meta. Hamel has debugged AI systems across dozens of companies. We'll give you the process we actually use.

You'll learn from

Marily Nika

Example: VP at Top Company (ex-Role at Previous Company)

AI PM Newsletter (90k+)

🔗 LinkedIn (130k+)

❌ Twitter

🎥 YouTube channel


Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader & one of the world's best AI educators, with 12+ years of experience at Google & Meta, with a PhD in Machine Learning. Featured in TechCrunch, executive Fellow at Harvard, TED AI Presenter.


Marily created the #1 AI Product Management Certification on Maven (over 30k students): 6-week AI Product Bootcamp & certification.

✉️ maven@aiproduct.com

Reach out for corporate trainings and group/student discounts.

Hamel Husain

ML Engineer with 20 years of experience.

Hamel Husain is a ML Engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.

Google
Meta
Harvard University

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