AI Product ManagementIntermediate

AI Evaluations for Product Managers

Stop shipping AI vibes — ship AI you can defend in production

5 hours
8 lessons
Certificate of completion
5,000+ professionals taught

Previous students from Google · Meta · Oracle · OpenAI · McKinsey · BCG

Course Details

Duration1 day (2.5 hours live)
FormatLive intensive
LevelIntermediate
InstructorAki W., PhD

What you'll learn in AI Evaluations for Product Managers

Build a repeatable AI evaluation system with PM-owned processes
Translate user value into evaluation goals and measurable success criteria
Analyze and diagnose AI quality failures with a failure taxonomy
Design gold sets using real examples and targeted edge cases
Run lightweight human review loops that scale with team capacity
Set clear ship/hold release gates that PMs can defend
Detect drift early with an exec-ready quality dashboard

What you'll leave with

  • 1An AI Evals Launch Pack for a real feature you're shipping
  • 2Failure taxonomy that captures real user and system breakdowns
  • 3Gold set design templates and human review workflow
  • 4Ship/hold decision framework for AI releases
  • 5Weekly quality cadence your team can sustain

Course Curriculum

Week 1

Full Intensive — Introduction for AI Evaluations

  • Foundations of AI Quality & Evaluation
  • Instrumentation, Feedback & Segmentation
  • Gold Sets, Human Review & Scalable Evals
  • Release Gates, Dashboards & Quality Ops
  • Resources, Articles, and Glossary for AI PMs

Who AI Evaluations for Product Managers is designed for

Product managers and leaders shipping LLM features who want a repeatable quality system
PMs who know LLM basics and want a practical, data-driven way to define quality
Teams responsible for trust and reliability with AI features

Prerequisites

Basic familiarity with LLM products or AI features
No coding or deep technical background required

Your Instructors

A

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google's AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems. He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Ex–Google AI Accelerator researcher focused on responsible AI and applied ML
PhD in AI & Cognitive Systems with published research across top universities
Former researcher with teams affiliated with MIT, University of Oxford, & King's College London
Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare
Built and deployed AI product pipelines used by PMs, startups, and enterprise teams
Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast
M

Manu Jayawardana

Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor. He co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers. He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.

Co-Founder of Snapdrum — builds production-ready AI systems for Fortune 500s, YC startups, and global Series A–C companies
Exited Founder of Rise AI — created an AI investment copilot used by 35,000+ users worldwide
Co-Founder of Krybe — ultra-realistic voice AI platform with 1,000+ users and part of the NVIDIA Inception Program
Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users
Built and scaled 10+ companies across AI, SaaS, analytics, and EdTech
Former Entrepreneur First Unlock Fellow, selected for high-potential AI founders

What Students Say

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.

Kavi T.

CEO of Tilli Kids / Stanford PhD

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.

Aamir Faaiz

CEO of Bayseian

Frequently Asked Questions about AI Evaluations for Product Managers

What will I learn in AI Evaluations for Product Managers?

Build a repeatable AI evaluation system with PM-owned processes. Translate user value into evaluation goals and measurable success criteria. Analyze and diagnose AI quality failures with a failure taxonomy. Design gold sets using real examples and targeted edge cases. Run lightweight human review loops that scale with team capacity. Set clear ship/hold release gates that PMs can defend. Detect drift early with an exec-ready quality dashboard

Who is AI Evaluations for Product Managers designed for?

Product managers and leaders shipping LLM features who want a repeatable quality system. PMs who know LLM basics and want a practical, data-driven way to define quality. Teams responsible for trust and reliability with AI features

What are the prerequisites for AI Evaluations for Product Managers?

Basic familiarity with LLM products or AI features. No coding or deep technical background required

How long does AI Evaluations for Product Managers take?

1 day (2.5 hours live). Format: Live intensive.

What will I leave with after completing AI Evaluations for Product Managers?

An AI Evals Launch Pack for a real feature you're shipping. Failure taxonomy that captures real user and system breakdowns. Gold set design templates and human review workflow. Ship/hold decision framework for AI releases. Weekly quality cadence your team can sustain

Is AI Evaluations for Product Managers available online?

Yes, AI Evaluations for Product Managers is delivered entirely online as a live intensive.

Who teaches AI Evaluations for Product Managers?

Aki Wijesundara, PhD — AI Founder | Educator | Google AI Accelerator Alum. Manu Jayawardana — Exited AI Founder | Co-Founder, Snapdrum | Co-Founder & CEO, Krybe

How do I enroll in AI Evaluations for Product Managers?

You can enroll via Maven at https://maven.com/theaiinternship/ai-evals-for-pms. Click the "Enroll on Maven" button on this page.

Topics covered

AI evalsproduct managementLLM evaluationAI qualityship/hold decisionsgold setsAI PM

Corporate Training & Team Upskilling

Train your entire team on AI Evaluations for Product Managers. We offer corporate group training, custom cohorts, and enterprise licensing. Trusted by teams at Google, Meta, Oracle, and more.