Learn Essential AI Builder Skills using Claude Code & n8n

Hosted by Mahesh Yadav

Fri, May 1, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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382 students

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

How the World of PMs is changing in the AI space

You're no longer just writing specs as you're expected to build prototypes, sit with the technical team.

What is the best stack for PMs who need to build?

Bare minimum skills: Claude Code, n8n, Colab, & Git. When to use what and why?

What is needed to build in AI first user experience

Learn the T.R.U.S.T framework that brings MOAT to your AI designs

Build a real use case that you can deploy for customers

Hands-on lab: You'll walk away with a working prototype you built yourself.

Why this topic matters

Contract review is slow & inconsistent. Teams scan dense legal text, miss key clauses, & approve under pressure. Risk accumulates in silence. An AI agent changes this. It parses contracts, extracts terms, & flags gaps in minutes. Outputs stay structured & repeatable. This matters because speed & accuracy compound. Teams reduce risk, standardize decisions, & prove applied, critical AI PM skills.

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
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