Wall of Love for pmcurve

Anybody who knows me knows there's no person more than Deepak Singh who has influenced the way I think, talk and discuss product. SO, I'm very happy to share that the last few months, I've worked on understanding, learning, and applying concepts of AI to learn about AI Product Management from pmcurve! The project I worked on: Cleared (https://lnkd.in/gMMkc7RT) It's an AI agent that triages workspace access requests by refusing when it can't verify the evidence, escalating to a human when judgment is needed, and showing its evaluation methodology in the product so reviewers can audit how it makes decisions. A couple of decisions I'm proud of: 1. My first target for the reasoning-quality tests was 39 out of 40. Then I realised that a perfect score would have taught me nothing. So I reframed the whole tier from "prove it works" to "find where it breaks." Pass rate dropped to 2 of 12. Those 10 misses became the v2 spec, and have not become defects to hide. 2. Every LLM judge criterion got validated against deliberately-bad synthetic outputs before it touched real seeds. If the judge can't catch outputs I hand-crafted to fail, it can't be trusted to grade the real ones. Learning to create an agentic product was a painful process. Lots of days were spent in pain really trying to internalise things I'd learnt. But, there's no gain without pain. And I believe this pain was worth it :) For any HMs reading, i'm looking for full-time PM-II roles. I'd love to discuss how I approach AI products with you! To learn more about me: https://lnkd.in/gXuFgzB4

I have invested in several great AI and Product Management courses over the last few years but my recent experience with the `Advanced AI Product Management` program from pmcurve was different. It was not just about adding tools to the kit. It was about "Calibration". Deepak Singh is a rare kind of Product Coach with deep wisdom. He has a profound ability to step back and connect the dots between industry trends, psychology and history and raw data. The way he coached us was like a game of Tetris. He helps you look at your own experiences and shift the pieces until they finally click into place. We covered the full spectrum from ML fundamentals to the nuances of LLMs and RAG and Agents and Evals. The lessons remained grounded in PM fundamentals the whole way through. Importantly, this journey has given me immense leverage and the confidence to solo build an enterprise product, that I am currently working on. If you are serious about product management and ready to put in the time to leverage AI then I highly recommend his courses. On a lighter note, this course has some side effects. When my wife who is a dermatologist asks me to research something for her, I now provide her output from three different models. In return, I ask her to provide a user scoring rubric on my Eval metrics 🤓.

The PMCurve course led by the ever amazing Deepak Singh gave me the frameworks to actually ship this - from AI evaluation strategy to context engineering. I've known Deepak since our IIT Kharagpur days, 15 years ago. His book Tech Simplified was a big reason I made the jump to Product Management in the first place. Learning from him again felt full-circle 🙂

 Built the full stack with Claude Code by Anthropic - Next.js on the frontend, Supabase for the backend and real-time database, Vercel for deployment, and the Anthropic Claude API powering the AI.

So when I needed a capstone project for the Advanced AI Product Management course by pmcurve that I recently completed, the choice was obvious. The trigger was simpler than that though - I was tired of paying sporadic Kahoot subscriptions just to run party quizzes for my friends.

Quizzinga is what came out of it. AI generates questions from any topic or PDF, participants join with a link (no sign-ups), and the whole thing is free - including the analytics and leaderboard that competitors put behind paywalls. https://www.quizzinga.app/

Since my undergrad, I dreaded anything that involved writing code. Today, I shipped a fully deployed, production AI application which I never imagined I could do 4 months ago. Here's what changed 👇

I joined the AI for PM course by Deepak Singh and pmcurve, and somewhere along the way I realised: English is the new coding language. You don't need to know Python or JavaScript. You need to know how to think clearly, describe problems precisely, and work with AI as your engineering partner.

So for my capstone, I built the APAC Payment Intelligence Monitor — an AI agent that automatically tracks regulatory bulletins from RBI, RBA, JFSA, Visa, Mastercard, and more across India, Australia, and Japan, a real problem I see every day working in APAC payments.

What I shipped, end to end, as a PM:
 🔍 Always-on monitoring across 7 regulatory sources
 🧠 Claude Sonnet extracting urgency, deadlines & action items from every PDF 🔐 Google OAuth, multi-user dashboard, admin panel 📅 Calendar view, email digests, manual uploads, Claude chat assistant ✅ 91% extraction accuracy · 0% hallucination · fully deployed in production

Thank you Deepak Singh and pmcurve for building a program where the output is a live product — not just a certificate. This genuinely unlocked something for me. 🙏

If you're a PM who thinks coding isn't for you — it's not. But building is. 🎥 Checkout the Product explainer video 😊 🌐 Experience the live product and share your feedbacks: https://lnkd.in/equvgWB8 🤘 ✌

TL;DR : I built an end to end working app! The last 12 weeks in the AI PM Course by Deepak Singh have been transformational. I know this could be the 100th course appreciation post you read on LinkedIn today but I am going to be honest in my experience. And I hope this serves as your sign today to start building! These 12 weeks were not just a refresher in Machine Learning and Deep Learning Concepts, but the foundation of AI thinking, Agentic Coding and a lot more.

This certification is just one step in a much bigger journey. I'm excited to keep learning, building, and applying AI to create products that solve real customer problems. Every new concept I learn opens the door to ten more questions—and that's exactly what makes this journey exciting.

As part of this journey, I recently completed my Advanced AI Product Management certification. While the certification is an important milestone, the biggest takeaway wasn't the certificate itself—it was the mindset shift that came with it.

A couple of lessons have stayed with me:

1️⃣ AI won't replace Product Managers—but Product Managers who understand AI will build the future.

Learning about LLMs, RAG, agentic AI, prompt engineering, and AI product strategy has completely changed how I approach product thinking. Every feature now starts with a different question:

Can AI make this experience smarter, simpler, or more valuable for users?

2️⃣ Upskilling isn't about chasing trends. It's about staying relevant and curious.

Every new concept I learn opens the door to ten more questions—and that's exactly what makes this journey exciting.

This certification is just one step in a much bigger journey. I'm excited to keep learning, building, and applying AI to create products that solve real customer problems.

A big thank you Deepak Singh and pmcurve for designing a program that goes beyond theory and focuses on practical, real-world AI product management. Your guidance, insights, and structured approach have helped me confidently take this next step in my transition into AI Product Management.. 🙏

Thanks to Deepak Singh and pmcurve for breaking the barrier to learn AI. Building Tiny Quest: Solving Early Learning Gaps for Indian Parents as part of my capstone project.

I attended Deepak Singh pmcurve's Adavanced AI in product management course and here is what I think makes 50+ PMs attend 4+ hours of classes on consecutive Saturday morning over multiple weekends! I benefitted from shadowing a PM industry veteran. Deepak’s habit of being curious and not judgemental, understanding the context, asking for the question behind the question, starting with the problem and working backwards to the solution, stressing on importance of FR, NFR and cost, spending least amount of resource to validate ideas quickly in the AI era is something I look forward to adapting in my work.

"Growth happens on the edge." : Deepak Singh from pmcurve A huge shoutout to Deepak Singh for being an exceptional instructor. His student-centric approach, willingness to confront tough questions head-on, and ability to inspire each of us to build better products made all the difference.