Free Lesson

Build Production-Grade Evals for AI PMs

Hosted by Mahesh Yadav

Fri, Aug 21, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
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What you'll learn

Why Vibes-Based Evaluation Fails (And What Replaces It)

Understand why intuition-based eval doesn't scale and how production-grade evals became the PM career differentiator.

Build the Four-Pillar Eval Framework for Any AI Product

Learn grounding, accuracy, safety, and business impact evals that separate successful AI PMs from those who guess.

Measure and Prove Your AI Product Is Getting Better

Set up evals showing measurable improvement version-to-version so you iterate fast and defend decisions to leadership.

Position Yourself for High-Paying AI PM Roles at Scale

Master eval frameworks top companies require for AI PMs and command premium salaries for proven iteration expertise.

Why this topic matters

You can't improve what you don't measure. Most AI PMs ship features with no eval framework. Can't prove v2 is better. Can't defend decisions. Can't iterate systematically. By H2 2026, this gap became critical. Companies started asking: Can you measure? Can you improve? Can you prove it? The PMs who answered yes earned premium salaries. Learn production-grade evals. Become that PM.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Amazon Web Services
Meta
Microsoft
See all products from Mahesh

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