PhD in ML | Google AI Accelerator Alum
Exited AI Founder | CEO at Krybe


3 people enrolled last week.
Stop Shipping AI Vibes, Ship AI You Can Defend in Production
Transform AI quality from gut-feel debates into clear ship / hold decisions with evals PMs actually own.
Most AI features look great in demos but fail silently in production, inconsistent answers, edge-case breakage, and slow erosion of trust. The problem isn’t just the model. It’s the lack of a quality system.
This course teaches PMs how to define “good,” catch failures early, and ship AI with confidence using evals, gates, and dashboards.
With AI Evals for PMs, you’ll:✅ Define quality using a failure taxonomy instead of vague feedback
✅ Build gold sets (real examples + edge cases) that catch failures fast
✅ Run lightweight human review loops without heavy infra
✅ Set clear ship / hold release gates PMs can defend
✅ Detect drift early with an exec-ready quality dashboard
✅ Establish a weekly quality cadence your team can sustain
Week by week, you move from vague “make it better” feedback to clear metrics, focused improvements, and compounding quality gains.
You’ll create an AI Evals Launch Pack for a real feature you’re shipping
Follow a practical, PM-owned process to continuously evaluate, improve, and ship AI features with confidence.
Translate user value into evaluation goals and measurable success criteria
Define the right evaluation unit (turn, task, journey) for different AI features
Identify why AI features break in production and turn vague feedback into actionable signals.
Create a failure taxonomy that captures real user and system breakdowns
Separate leading indicators (failure rates, coverage) from lagging indicators (CSAT, trust signals)
Build evaluation datasets that catch failures early without waiting for perfect data or heavy infrastructure.
Design gold sets using real examples and targeted edge cases
Run lightweight human review loops that scale with team capacity

AI Founder | Educator | Google AI Accelerator Alum

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum
Product managers and leaders shipping LLM features who want to replace gut-feel launches with a repeatable, production-grade quality system.
PMs who know LLM basics and want a practical, data-driven way to define quality, evaluate behavior, and make ship vs hold decisions.
Teams responsible for trust and reliability who want feedback loops that continuously improve AI quality as models and user needs evolve.
Live sessions
Learn directly from Dr. Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.
Hands On Customized Resources
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Lifetime Discord Community
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Guest Sessions
Webinar sessions hosted with industry network
Certificate of completion
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Jul
10
Live sessions
2 hrs
Short, focused sessions that break down the complete AI evaluation framework, designed for quick learning and easy rewatching as you apply it in production.
Fri, Jul 10
9:00 PM—12:00 AM (UTC)

Kavi T.
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Dr. Elizabeth Creighton

Alissa Valentine

Aamir Faaiz
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