AI Prototyping in 60 Minutes for Product Managers

Hosted by: Dhaval Patel & Karandeep Singh Grover

Free

Thu, 06 Aug 2026
08:00 PM - 09:00 PM IST

Online (Zoom)

Hosted by

Dhaval Patel

Data Entrepreneur (12+ Years), YouTuber, Ex - Bloomberg, NVIDIA

Karandeep Singh Grover

Chief Executive Officer, AtliQ Technologies

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Every PM has used an AI feature. Very few have watched one actually get built, from a messy, real-world problem to a working prototype. Most PMs only see the finished product: a clean demo, a polished chatbot, or a feature that “just works.” The false starts, scoping decisions, safety considerations, and guardrails that come before it often remain invisible.

In this session, you’ll watch the entire process unfold live. Instead of slides explaining theory, a real problem will be diagnosed, scoped, and transformed into a working AI prototype in front of you. You’ll see how a Product Manager should participate in that process, not merely observe it from the sidelines.

What you'll learn:

🔹 How to take a messy, real-world problem and identify its actual root cause using a structured discovery method.

🔹 How a PM decides what AI should and should not do before a single line of code is written.

🔹 How an AI prototype is built live, end to end, from raw data to a working assistant.

🔹 What “grounded and safe” means when an AI feature interacts with real business data.

🔹 How PMs should approach testing and guardrails instead of treating them only as an engineering checklist.

Key Takeaways:

By the end of this session, you'll be able to:

✔️ Apply a structured discovery method to messy product problems you are facing.

✔️ Understand what goes into transforming an AI idea into a working prototype.

✔️ Ask sharper and more useful questions when reviewing AI features built by your engineering team.

✔️ Distinguish between a flashy AI demo and a solution that is closer to being production-ready.

Who Should Attend:

✔️ Product Managers curious about how AI features are actually built, not just how they are used.

✔️ PMs who want to collaborate more effectively with AI and ML engineering teams.

✔️ Anyone who regularly uses AI tools but has never seen an AI product built from scratch.

Who Should Not Attend:

✖️ AI Engineers who are already building AI or AI-enabled products.

✖️ Those expecting a deep technical coding tutorial designed for engineers.

✖️ Those already experienced in building AI products end to end and looking for advanced-level content.

Prerequisites

📌 Install the Visual Studio Code IDE before the session. A Claude Code subscription is recommended for the best hands-on experience. Basic familiarity with Product Management and AI tools will also be helpful.