How to Build & Launch Your First AI Product (From Scratch)

Hosted by Mahesh Yadav

Fri, Apr 17, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

526 students

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

Stop consuming AI. Start building with it.

Learn how to go from idea → working AI product without getting stuck in theory.

Don't know coding? No problem.

Use modern AI tools to build real products, even if you’re from a non-technical background.

Turn ideas into deployable prototypes.

Structure, build, and launch your first AI product end-to-end.

Learn what actually works in real-world AI products.

Not just concepts — practical workflows used by top builders.

Build something you can showcase.

Walk away with a live AI product you can use for jobs, interviews, or clients.

Why this topic matters

AI is shifting from “knowledge” to “execution.” Companies now value people who can build, not just understand. If you don’t start building in Q2, you’ll be competing with those who already have live projects and proof of work. This session helps you take that first step — fast and correctly.

You'll learn from

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

Substack for your All in 1 AI News & Updates

Linkedin Community of AI PMs

YouTube for all our recorded sessions.

Mahesh has 20 years of experience in building products at Google, Meta, Microsoft, and AWS AI teams. Mahesh has worked in all layers of the AI stack, from AI chips to LLM and has a deep understanding of how using AI agents companies ship value to customers. His work on AI has been featured at the Nvidia GTC conference, Microsoft Build, and Meta blogs.

His mentorship has helped 50+ students build real-time products & careers in the Agentic AI PM space.

Whether you're a hobbyist or a professional looking to get a grasp on GenAI Product Management, feel free to join our channels for more such sessions

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
Microsoft
Amazon Web Services
Meta

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