Agentic AI Evals for PMs, Operators and Founders

Dr. Aki Wijesundara

PhD in ML | Google AI Accelerator Alum

Manu Jayawardana

Exited AI Founder | CEO at Krybe

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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.

What you’ll learn

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

Learn directly from Aki & Manu

Dr. Aki Wijesundara

Dr. Aki Wijesundara

AI Founder | Educator | Google AI Accelerator Alum

Google
Meta
Amazon Web Services
OpenAI
NVIDIA
Manu Jayawardana

Manu Jayawardana

AI Advisor | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

Previous Students from
OpenAI
Boston Consulting Group (BCG)
NVIDIA
Google
McKinsey & Company
See all products from TAI

Who this course is for

  • 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.

What's included

Live sessions

Learn directly from Dr. Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.

Hands On Customized Resources

Get access to a customized set of resources

Lifetime Discord Community

Private Slack for peer reviews, job leads, and ongoing support forever.

Guest Sessions

Webinar sessions hosted with industry network

Certificate of completion

Showcase your skills to clients, employers, and your LinkedIn network.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Jul 10—Jul 11

    Jul

    10

    Introduction for AI Evaluations

    Fri 7/109:00 PM—12:00 AM (UTC)

    Foundations of AI Quality & Evaluation

    5 items

    Instrumentation, Feedback & Segmentation

    4 items

    Gold Sets, Human Review & Scalable Evals

    4 items

    Release Gates, Dashboards & Quality Ops

    4 items

    Resources

    5 items

    Articles

    4 items

    Useful Interviews

    1 item

    A Simple Guide, Mini Assignment and Free Resources per Module

    1 item

    Glossary for AI product managers

    1 item

Schedule

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)

Testimonials

  • The AI training approach is outstanding. Our team learned to build practical AI solutions that we could implement immediately in our educational platform. The hands-on methodology made complex AI concepts accessible to our entire development team.
    Testimonial author image

    Kavi T.

    CEO of Tilli Kids / Stanford PhD
  • Not only are the instructors experts in their field, they're incredibly skilled at breaking down complicated AI concepts so students can grasp them quickly. Anyone interested in building foundational AI knowledge should take this training - it's worth the investment.
    Testimonial author image

    Dr. Elizabeth Creighton

    Founder & Principal at Brazen
  • The instructors help break down AI model development and clearly have plenty of experience to help others learn about complex concepts like infrastructure setup. The practical approach to NLP and LLM applications was exactly what our team needed.
    Testimonial author image

    Alissa Valentine

    NLP & LLM Real World Data Scientist
  • I sent my team through this training for upskilling, and the results have been remarkable. Within weeks, they became much more efficient at building automations and deploying AI agents at work. This program bridges the gap between theory and practice and it’s had a real impact on our productivity.
    Testimonial author image

    Aamir Faaiz

    CEO of Bayseian

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