The Operating PM

Stop Nodding Along When Engineers Talk About AI.

8 cohorts · 139 PMs · 111 companies · 8 countries

Become genuinely tech confident in AI through

Community
,
Mentorship
&
Shipping
.

Eight weekends, vetted cohorts, hands-on. Not a course. A coaching practice.

  1. Out-Operate Other PMs

    Agents wired into your day job, and running without you.

  2. Know How AI Really Works

    Tokens, retrieval, fine‑tuning, and a number you can defend.

  3. See What's Coming First

    Jev, System One models, and protocols your team hasn't met.

  4. Build Your Own Idea

    The one you always wanted to build, with 12 months of support after.

THE COURSE ENDS. THIS DOESN'T.

The Academy, For Life

Included with the course, for as long as you stay engaged.

  • Tutorials
  • Project Ladders
  • Referral Job Board
  • The Monthly Issue
  • Coffee In Person
  • And A Lot More
Your PM friend took this and didn't tell you about it
Quest Publicis JPMorgan Chase Google Salesforce Oracle Barclays Airbnb Microsoft Walmart Global Tech India Cisco Myntra Wadhwani Verizon Indeed Unilever Motorola Solutions Trellix Lowe's India EY F5 Quest Publicis JPMorgan Chase Google Salesforce Oracle Barclays Airbnb Microsoft Walmart Global Tech India Cisco Myntra Wadhwani Verizon Indeed Unilever Motorola Solutions Trellix Lowe's India EY F5
What Makes This Different

I built this the way I wish
I'd learned.

Not alone watching videos at 2am, wondering if I'm the only one. Not in a Slack channel with 500 strangers I'll never meet. Not just consuming but building by taking action.

Small & Personal

I personally vet everyone before they join. When you're stuck at 11pm, I actually care. You're not another name on a list here. We learn together, fail together, and fix it.

Build Together, Live

No pre-recorded videos. No passive watching. We build real projects live, from scratch - one session a weekend, three hours, eight weekends. Your code breaks? We debug it together.

Build Together, Live

Your Own Claude Max

A dedicated Claude Max subscription for your seat, not a shared key. OpenAI credits, ElevenLabs, Twilio, GitHub Codespaces and Pinecone on top. No chasing free tiers, no out-of-pocket bills, no rate limit in the middle of a build.

Your Own Claude Max

Portfolio That Proves It

You'll have your own page at yourname.curious.pm. Showcase three full production-ready AI projects. Not certificates. Not shiny badges.

Lifetime Project Library

Prototype-ready AI codebases, all yours. Voice assistants, WhatsApp bots, RAG systems. Agents, integrations, and real PM examples. A growing library to explore, copy, or remix.

Lifetime Community

Live sessions whenever something new lands. Build Days across Pune, Bengaluru, Delhi, Chennai, Hyderabad - like The 13th Voice, where 12 strangers built a voice assistant in a day. Job board across 111 alumni companies. Lifetime WhatsApp.

Lifetime Community
Green Thunder

Course Is
For You If..

Check

You're an experienced PM who feels behind

Check

You're willing to code (even though it's scary)

Check

You have the courage to look stupid while learning

Check

You're building for the long-term

Check

You believe in learning together

Cross

Course Is Not
For You If..

Check

You're new to product management

Check

You're hunting for job placement

Check

You want to avoid the hard parts

Check

You expect quick wins and guaranteed ROI

Abstract
Here’s How We’ll Learn (Together)

Eight Weekends, Four Milestones, One Real Build

One session each weekend, 3 hours. Four weekends on the technical core of AI products, two running your real PM job on Claude Code, then two on where the field is going and the idea you will build against it. The Tribe runs from Day 1 - live sessions whenever something new lands, monthly offline meetups, and a closed alumni network across 111 companies, for life.

1 · It Stops Being Magic
2 · The Technical Core
3 · You Out-Operate The Room
4 · Your Idea, Picked
Before weekend 1

Pre-read: how LLMs work

Tokens, context windows, what a call costs, and the hard limits behind every AI product decision.

WEEKEND 1

Technical Core

Agents: A Goal, And The Right To Act

Start with a chatbot, end with an agent: the same model, now a loop with a goal and the right to act. Memory, schedules, and where agents go wrong, prompt injection included. You design one for a task you repeat every week.

Due: one agent designed on a page, and three inputs it must survive

WEEKEND 2

Technical Core

MCP: How It Gets Hands

The agent you designed cannot reach anything yet. What the protocol is, why every AI product now speaks it, and which of the tools you live in could be plugged in.

Due: a map of what your agent could plug into, in your own job
1
MILESTONE · AFTER WEEKEND 2

It Stops Being Magic

Tokens, the loop, tools. You can explain what it is doing, out loud.

WEEKEND 3

Technical Core

Evals: Proof Instead Of A Demo

Twenty test cases turn something you hope works into something you would ship. A model as the judge, and reading benchmarks like a PM rather than a marketer.

Due: twenty test cases, five of them run by hand on two models

WEEKEND 4

Technical Core

RAG And Fine-Tuning: Making It Know Your Product

Retrieval over your own documents, what fine-tuning is actually for, and how to tell when a better prompt would have done instead.

Due: the documents it will search, and a call on fine-tuning
2
MILESTONE · AFTER WEEKEND 4

The Technical Core

An agent designed end to end: its tools, its tests and its documents.

Then Claude Code arrives: your Claude Max seat starts before weekend 5, so you can experiment.

WEEKEND 5

Operating System

Your Job, In A Folder

Claude Code becomes the system you work in: your context written down once, your repeat work as saved commands, and the agent you designed, built and scored.

Due: your workspace, and your agent built and passing its tests

WEEKEND 6

Operating System

Run Your Week On It

Research, synthesis and decisions at PM speed, with your agent wired into your real week. Not a demo week. The actual one, with the actual mess in it.

Due: a week of your own work, run on the system
3
MILESTONE · AFTER WEEKEND 6

You Out-Operate The Room

Your job written down once, your agent built, and a real week run on both.

WEEKEND 7

What's Next

What Is Actually Happening Out There

Where the money went, what the platforms absorb, and what is arriving next: models that return a decision instead of text, agents talking to other agents, agents that pay each other. Then your own product, run through the pressure points.

Due: your own product, run through the pressure points

WEEKEND 8

What's Next

How They Actually Won

Nine companies, worked case by case: Chegg priced out of its own market, Intercom charging per resolution instead of per seat, Granola beating fifty rivals on positioning alone, Grammarly buying its way from adjacent tool to workspace. Then the one idea you will build.

Due: one idea, written as a bet
4
MILESTONE · AFTER WEEKEND 8

Your Idea, Picked

One idea, written as a bet. Then twelve months of help building it, on your own clock.

What You Walk Out With

The Six Things That
Are Yours After Eight Weekends

Not slides and a certificate. Three things you make, and three that keep going after the room empties.

A Real Product, Yours To Take To Market

A Real Product, Yours To Take To Market

Bring your own idea, or take one off the shelf that already exists and already works. Either way you leave with the repository, the data, and the right to take it to market.

A Number You Can Defend

A Number You Can Defend

Your own test set, twenty cases, five of them run by hand against two models with cost and latency beside accuracy. You know where it fails, why, and what you would tell your team it cannot be trusted with.

An Operating Setup You Keep

An Operating Setup You Keep

Your job written down once, in a folder Claude Code works from: your context, your repeat work as saved commands, your connectors and your own test set. It is still running the week after the cohort ends.

And after it ends

A Page With Your Name On It

yourname.curious.pm, with what you built on it, the score it earned, and a write-up people outside the room can read.

The Academy, Afterwards

Tutorials, project ladders, the job board, the monthly issue, and coffee in person. Included for as long as you stay engaged.

A Room Of 139 PMs

Across 111 companies and 8 countries, almost never two from the same org. Deep dives every two weeks, meetups in person.

Every tool and credit you'll need, included so you can focus on building

A dedicated Claude Max subscription for every seat, plus OpenAI credits, ElevenLabs and Twilio, GitHub Codespaces, Pinecone, and every other tool you'll need to ship. No chasing free tiers. No out-of-pocket API bills.

tools
Built on Trust, Not Transactions

Let's Talk About Trust,
Not Transactions.

Not a course you binge and forget. This is hands-on, build-stuff-together kind of learning.

Outcomes Were Always the Point.

Same cohort, same sessions, same support, however you chose to pay. This isn’t built around transactions - it’s built around trust and learning. Show up, do the work, pick the thing you will build, and you’re in the Tribe for life.

quote quote
Check

8 live sessions, 3 hours each (actually show up though)

Check

All the expensive AI tools (on me)

Check

1:1s when you're stuck - past cohorts averaged 5-10 per participant

Check

An agent you built and scored, and an idea worth building next (not just certificates)

Check

My WhatsApp (use wisely)

Check

Lifetime Tribe - live sessions when something new lands, monthly offline meetups, job board across 111 companies

You’ll Never Be Stuck Alone

Who's Teaching This
(And Why It Matters )

I’m not trying to build an empire. I’m coaching the way I wish I’d been coached.

Quotes

I take great pride in the work I do - or else I don't do it.

What that means :

Check

I personally vet every participant before they join.

Check

I show up live every single week - no pre-recorded sessions.

Check

I answer your messages, even at weird hours.

Check

I actually know everyone’s name on Day 1.

Check

I still code every day, so I’m teaching what I live.

Ankit Aggarwal

Tech background → Founder → Product leader

I'm not an “AI influencer” who learned prompting six months ago. I've been building products for 20+ years - from tech roles to founder to product leader. I'm still in the trenches as a working PM. I still code every day.
I started Curious PM in 2023. No VCs, no loans. Just me, building this with the PMs who showed up. That's why I keep the cohorts small - coaching has a ceiling, and a content factory isn't what I'm here to be.

8

Cohorts run

Each one I personally vetted and ran end-to-end. My proudest number, because every PM in it I know by name.

139

PMs coached

Across Amazon, Microsoft, Airbnb, JPMorgan, and a long list of others. 12 to 18 per cohort - small by design.

111

Companies represented

Almost no two PMs from the same org. Which is what makes the alumni community actually useful.

My commitment to you :

If you show up, I show up.
If you're stuck at 11pm debugging, you can message me.
If you need a 1:1, we'll book it.
If you're confused, we'll pause and figure it out together.

Quotes

I'm not here to sell you a course and disappear - I'm here to build real relationships. Your cohort becomes a Tribe. People you learn with for years, not just eight weekends.

Stories From The Curious Community

What They're Saying
(The Real Stuff)

I've run 8 cohorts so far - 139 participants total. These are real testimonials, not marketing copy. Want to talk to any of them? I'll intro you.

Building things at my own pace was the best part. It gave me real hands-on learning, and more than that, the confidence that comes from actually building something yourself, not just watching it get built.

company
Anup Gunja

Anup Gunja

in/anup-gunjan

The course structure was fluid and interactive, and as someone non-technical, the discussions genuinely helped me understand how AI applies to real product design and launch decisions. The community is a big plus too, with PM experts around whenever you have questions.

company
Chinmaya Natarajan

Chinmaya Natarajan

in/chinmaya-natarajan

Working through real projects was a massive unlock for me. Building apps hands-on connected the 'what' and the 'how' in a way no PRD ever did. The cohort's energy kept things clicking, and the team has built a community that's genuinely useful to stay connected and keep learning from, long after the sessions end.

Paul K Paul

Paul K Paul

in/paulkpaul

An outstanding program that demystifies AI for product people. The sessions bridge theoretical strategy with real, hands-on application. It didn't just teach me to use existing AI tools, it reframed how I think, giving me the confidence to design and build my own AI-driven solutions.

company

An excellent introduction to LLMs, how they compare, and the fundamentals of AI product development, and it gave me the confidence to start building my own AI product. Ankit is hands-on and patient with every topic, even with zero AI background going in.

company
Projjal Dhar

Projjal Dhar

in/projjaldhar

The curriculum is well-structured, but what sets it apart is the hands-on exercises and the collaborative cohort. Learning the fundamentals changed how I navigate the AI landscape. It turns AI from an intimidating mystery into something practical that anyone can actually learn to use.

company
Palak Jain

Palak Jain

in/palak13

I'd read about AI for a while but never built anything, and that changed from week one. The use cases, frameworks, and tools felt directly applicable, not theoretical. By the end I had a real AI portfolio I've used in interviews and on the job, a rare outcome for any course.

company
Layth Ismail

Layth Ismail

in/laythismail

The course genuinely helped me understand how AI products work under the hood, how the different techniques are implemented, and how companies actually use them. That gave me a far better mental model than experimenting with ChatGPT or watching videos ever could.

company

I joined expecting to upskill on using AI at work, and left with a real understanding, working examples, and recordings I can go back to anytime. This isn't a theoretical course, it's a working one, covering everything from the tools and methods to cost, guardrails, and evaluation at a production level.

company

I wouldn't call this a course, I'd call it a hands-on AI learning experience, with guidance and support that's genuinely excellent. Learning doesn't get much better than this.

This course changed how I use AI as a Product Manager, with the confidence to build and deploy AI products on my own. It also sharpened my thinking: when to use AI, which LLM fits, how to evaluate it, and whether an agent is even the right call. I've since built solo projects with real users.

company

I spent months researching AI and product courses before choosing this one. The curriculum is well organized, moving from fundamentals to real, working applications, not just prototypes. Whenever I got stuck, the team was responsive and invested in my success. One of the best learning investments I've made.

company
Amit Mohod

Amit Mohod

in/amit-mohod

After 12 years in product, I knew what AI could do, what I was missing was how to think AI-first. This course fixed that. It rewires how you approach products, starting from AI's possibilities rather than fitting them in as an afterthought.

company
Kaustubh Chaturvedi

Kaustubh Chaturvedi

in/kaustubh-chaturvedi

The course is one of the best things I invested in. It's hands-on and well structured, taking you on a 0 to 1 journey and leaving you with enough to define your own path from 1 to 100. For someone wanting to stay ahead of the curve with all things AI, I would highly recommend joining this.

company
Pallavi Rajmohan

Pallavi Rajmohan

in/pallavi-rajmohan

This course completely changed how I think about building products with AI. The balance between technical depth and product thinking gave me the confidence to collaborate better with engineers. The hands-on approach, combined with a small, supportive cohort, made it feel more like a community of curious builders.

company
Raunak Pandey

Raunak Pandey

in/pandeyraunak

This course was a game-changer! He helped me understand how to apply AI to the right use cases instead of chasing trends. The way he broke down what actually goes on under the hood of AI made everything click. Highly recommend it to any PM who wants to level up their AI understanding.

company

This course truly transforms your perspective. As a Senior Product Manager, it deepened my understanding of AI concepts and demonstrated practical ways to integrate them into product strategy. The hands-on projects and real-world examples made complex topics approachable and actionable.

company
Siddharth Chauhan

Siddharth Chauhan

in/siddharthhchauhan

The course is a bang for the buck! I love the well-structured roadmap, balance of tech, business and product psychology, and easy 1-on-1 access. My comfort with AI tools has increased exponentially and I now have a very different perspective on the corporate world and the changing industry.

company

Three words describe this course – hands-on, clarity, and just about the right depth. Hearing about AI from a product person is such fresh air in all the buzz. The course isn't like a typical textbook. It's a stepping stone, arming you to do your own research with the knowledge gathered.

company
Nandhini Sivakumar

Nandhini Sivakumar

in/nandhinisivakumarb

The simple steps of a DIY project with peers build a powerful sense of confidence and nudge our creativity. It creates a space that celebrates an often-underestimated role - Product Managers - since no one grows up aspiring to become one.

company
Neeharika Parasa

Neeharika Parasa

in/neeharika-parasa

I joined with no coding background, but the guidance and practical approach made complex topics easy to understand. Building our own chat and voice agents boosted my confidence to explore AI tools. I'm at the start of my AI journey, but now have clarity and momentum to keep progressing.

company

This course has been incredibly eye-opening for understanding the AI landscape and how AI tools work. I've gained solid understanding of LLMs and technical aspects PMs need to master. Tools like Claude Code have made my work life easier – I can now provide working code to my dev team!

company
Vinit Gujarathi

Vinit Gujarathi

in/vinit-gujarathi

Ankit makes your problem his problem and he is very sincere in his efforts. He is someone who will genuinely root for you. His dedication to each student's success and willingness to help goes beyond what you'd expect from a course.

company
Pradeep Reddy

Pradeep Reddy

in/kprmca

The program brilliantly blends AI concepts, hands-on tools, and real-world applications that redefine how product managers work. It completely shifts your perspective on AI and delivers a tangible boost in productivity.

company
Vidhika Chakravarti

Vidhika Chakravarti

in/vidhikachakravarti

The course is thoughtfully designed to help anyone from a non-technical background gain clarity and confidence as an AI Product Manager. What stood out was Ankit's consistent check-ins and constant guidance. I feel more confident than ever as an AI Product Manager.

company
Lokesh Leel

Lokesh Leel

in/leellokesh

Great for Product people to learn AI with hands-on experience. I am amazed by the efforts put into in-class projects. The sessions are interactive which enhanced my learning. I've discussed tangent ideas in 1-1 connects with Ankit. He is helpful and honest!

company
Karine Majdalani

Karine Majdalani

in/karine-majdalani

This course was very insightful in understanding the foundations of AI in product management. I appreciated how it navigated from theory to practice in various sessions. The summarized notes and sessions really enhanced my knowledge in AI product management. Highly recommend!

company

Building things at my own pace was the best part. It gave me real hands-on learning, and more than that, the confidence that comes from actually building something yourself, not just watching it get built.

company
Anup Gunja

Anup Gunja

in/anup-gunjan

The course structure was fluid and interactive, and as someone non-technical, the discussions genuinely helped me understand how AI applies to real product design and launch decisions. The community is a big plus too, with PM experts around whenever you have questions.

company
Chinmaya Natarajan

Chinmaya Natarajan

in/chinmaya-natarajan

Working through real projects was a massive unlock for me. Building apps hands-on connected the 'what' and the 'how' in a way no PRD ever did. The cohort's energy kept things clicking, and the team has built a community that's genuinely useful to stay connected and keep learning from, long after the sessions end.

Paul K Paul

Paul K Paul

in/paulkpaul

An outstanding program that demystifies AI for product people. The sessions bridge theoretical strategy with real, hands-on application. It didn't just teach me to use existing AI tools, it reframed how I think, giving me the confidence to design and build my own AI-driven solutions.

company

An excellent introduction to LLMs, how they compare, and the fundamentals of AI product development, and it gave me the confidence to start building my own AI product. Ankit is hands-on and patient with every topic, even with zero AI background going in.

company
Projjal Dhar

Projjal Dhar

in/projjaldhar

The curriculum is well-structured, but what sets it apart is the hands-on exercises and the collaborative cohort. Learning the fundamentals changed how I navigate the AI landscape. It turns AI from an intimidating mystery into something practical that anyone can actually learn to use.

company
Palak Jain

Palak Jain

in/palak13

I'd read about AI for a while but never built anything, and that changed from week one. The use cases, frameworks, and tools felt directly applicable, not theoretical. By the end I had a real AI portfolio I've used in interviews and on the job, a rare outcome for any course.

company
Layth Ismail

Layth Ismail

in/laythismail

The course genuinely helped me understand how AI products work under the hood, how the different techniques are implemented, and how companies actually use them. That gave me a far better mental model than experimenting with ChatGPT or watching videos ever could.

company

I joined expecting to upskill on using AI at work, and left with a real understanding, working examples, and recordings I can go back to anytime. This isn't a theoretical course, it's a working one, covering everything from the tools and methods to cost, guardrails, and evaluation at a production level.

company

I wouldn't call this a course, I'd call it a hands-on AI learning experience, with guidance and support that's genuinely excellent. Learning doesn't get much better than this.

This course changed how I use AI as a Product Manager, with the confidence to build and deploy AI products on my own. It also sharpened my thinking: when to use AI, which LLM fits, how to evaluate it, and whether an agent is even the right call. I've since built solo projects with real users.

company

I spent months researching AI and product courses before choosing this one. The curriculum is well organized, moving from fundamentals to real, working applications, not just prototypes. Whenever I got stuck, the team was responsive and invested in my success. One of the best learning investments I've made.

company
Amit Mohod

Amit Mohod

in/amit-mohod

After 12 years in product, I knew what AI could do, what I was missing was how to think AI-first. This course fixed that. It rewires how you approach products, starting from AI's possibilities rather than fitting them in as an afterthought.

company
Kaustubh Chaturvedi

Kaustubh Chaturvedi

in/kaustubh-chaturvedi

The course is one of the best things I invested in. It's hands-on and well structured, taking you on a 0 to 1 journey and leaving you with enough to define your own path from 1 to 100. For someone wanting to stay ahead of the curve with all things AI, I would highly recommend joining this.

company
Pallavi Rajmohan

Pallavi Rajmohan

in/pallavi-rajmohan

This course completely changed how I think about building products with AI. The balance between technical depth and product thinking gave me the confidence to collaborate better with engineers. The hands-on approach, combined with a small, supportive cohort, made it feel more like a community of curious builders.

company
Raunak Pandey

Raunak Pandey

in/pandeyraunak

This course was a game-changer! He helped me understand how to apply AI to the right use cases instead of chasing trends. The way he broke down what actually goes on under the hood of AI made everything click. Highly recommend it to any PM who wants to level up their AI understanding.

company

This course truly transforms your perspective. As a Senior Product Manager, it deepened my understanding of AI concepts and demonstrated practical ways to integrate them into product strategy. The hands-on projects and real-world examples made complex topics approachable and actionable.

company
Siddharth Chauhan

Siddharth Chauhan

in/siddharthhchauhan

The course is a bang for the buck! I love the well-structured roadmap, balance of tech, business and product psychology, and easy 1-on-1 access. My comfort with AI tools has increased exponentially and I now have a very different perspective on the corporate world and the changing industry.

company

Three words describe this course – hands-on, clarity, and just about the right depth. Hearing about AI from a product person is such fresh air in all the buzz. The course isn't like a typical textbook. It's a stepping stone, arming you to do your own research with the knowledge gathered.

company
Nandhini Sivakumar

Nandhini Sivakumar

in/nandhinisivakumarb

The simple steps of a DIY project with peers build a powerful sense of confidence and nudge our creativity. It creates a space that celebrates an often-underestimated role - Product Managers - since no one grows up aspiring to become one.

company
Neeharika Parasa

Neeharika Parasa

in/neeharika-parasa

I joined with no coding background, but the guidance and practical approach made complex topics easy to understand. Building our own chat and voice agents boosted my confidence to explore AI tools. I'm at the start of my AI journey, but now have clarity and momentum to keep progressing.

company

This course has been incredibly eye-opening for understanding the AI landscape and how AI tools work. I've gained solid understanding of LLMs and technical aspects PMs need to master. Tools like Claude Code have made my work life easier – I can now provide working code to my dev team!

company
Vinit Gujarathi

Vinit Gujarathi

in/vinit-gujarathi

Ankit makes your problem his problem and he is very sincere in his efforts. He is someone who will genuinely root for you. His dedication to each student's success and willingness to help goes beyond what you'd expect from a course.

company
Pradeep Reddy

Pradeep Reddy

in/kprmca

The program brilliantly blends AI concepts, hands-on tools, and real-world applications that redefine how product managers work. It completely shifts your perspective on AI and delivers a tangible boost in productivity.

company
Vidhika Chakravarti

Vidhika Chakravarti

in/vidhikachakravarti

The course is thoughtfully designed to help anyone from a non-technical background gain clarity and confidence as an AI Product Manager. What stood out was Ankit's consistent check-ins and constant guidance. I feel more confident than ever as an AI Product Manager.

company
Lokesh Leel

Lokesh Leel

in/leellokesh

Great for Product people to learn AI with hands-on experience. I am amazed by the efforts put into in-class projects. The sessions are interactive which enhanced my learning. I've discussed tangent ideas in 1-1 connects with Ankit. He is helpful and honest!

company
Karine Majdalani

Karine Majdalani

in/karine-majdalani

This course was very insightful in understanding the foundations of AI in product management. I appreciated how it navigated from theory to practice in various sessions. The summarized notes and sessions really enhanced my knowledge in AI product management. Highly recommend!

company

The Next Cohort - Small by Design

12 to 18 PMs per cohort. Personally vetted on a 20-30 minute call. The day you enroll, you're in the Tribe - alumni across 111 companies, for life.

8
Cohorts
Completed

Quotes

139 PMs from 111 companies. A real product shipped per person. Lifetime alumni community.

Completed

2026
November
Cohort

Quotes

Applications open for Cohort 09. Personally vetted, 12-18 PMs. DM me on WhatsApp - I'll see if there's still a fit.

Open
Ready to Get Started?

How to Join
(The Real Process)

It's a carefully curated cohort of ambitious Product Managers ready to master AI at a deep level.

message

Ask For A Seat

Give us your name, email and LinkedIn. Know someone who did the cohort? You can register right away. If not, book a 30-minute call with Ankit.

Know someone from a past cohort? Skip to step 4.

one

We'll Talk (Really Talk)

No one to vouch for you yet? This is the call. I personally vet every applicant: where you're at, where you want to go, and whether the cohort is the right fit right now. No pitch. Just an honest conversation. You leave with an invite code.

Telephone two
message

Think It Over (Seriously)

Talk to past participants - I'll intro you. Check that you can really give eight weekends, three hours each, plus a couple of hours in between. Sleep on it. This is a big commitment.

Talk to Alumni
Think It Over
Check Schedule
one

Welcome to the Cohort

You've decided. You register, pay, and you're in. I send you prep materials, cohort intro, and access to the community. Week 1 kicks off soon.

Keyhole four
abstract

You're Part of Something That Lasts

Not just someone who took a course. Part of a Tribe of PMs who actually get AI. Live sessions when something new lands. Monthly offline meetups. Job referrals across 111 companies. A network that doesn't expire when the cohort does.

five focus grid
Got Questions? We’ve Got You.

Questions People Actually Ask

Real questions from PMs considering this program. Answered honestly.

When's the next cohort? expand
Cohort 09 starts November 14, 2026 and registration is open right now. Seats are limited and it closes the moment it's full - register on the site or DM me on WhatsApp if you want to talk it through first.
Why one session a weekend? Earlier cohorts ran two. expand
The audience moved again. PMs joining now already use these tools every day - what they lack is a way of working, not an introduction. Two sessions in one weekend left no room to go and use any of it. One three-hour session a weekend, across eight weekends, gives you six days in between to run it on your own job, and everything that reads better than it teaches moved into the Academy.
I'm not in India - does this work for me? expand
About 40% of alumni are outside India - Singapore, US, UK, UAE, Germany, Nigeria, Ghana, Australia. Session timing is set per cohort based on the group, with recordings and 1:1s to cover any timezone gaps.
What if I already know the LLM basics? expand
Good - that's the new bar. Week 2 still covers fundamentals + API building because everyone needs the same vocabulary, but the centre of gravity moved. Most of the program is MCP, agents, evals, ops, RAG and fine-tuning. You'll start shipping by Week 3.
Why so few seats per cohort? expand
Because I'm coaching, not lecturing. I personally vet every applicant on a 20-30 minute call. I'm fully in for every cohort - past cohorts averaged 5-10 1:1s per participant across the program. 12-18 PMs is the ceiling for me to stay personally involved. More than that and I'd just be a content factory.
How do 1:1s with you actually work? expand
You book a slot. We talk. About what's blocking you, what you're building, the dumb question you're embarrassed to ask in the group. Past cohorts averaged 5-10 calls per person over the program weeks. Setup and tool-stack help is covered too. If you're stuck at 11pm, we'll figure it out.
What if I miss a session? expand
Every session is recorded and shared with the cohort, so you can catch up on your own time. That's also how PMs in other timezones keep pace. But the recording is the backup, not the plan - the live build is where the actual learning happens, and a 1:1 is there if you need to close a gap properly.
What happens after the month? Do I lose access? expand
No. The product you took over is yours: the repository, the data, and the right to take it to market. So is the community: live sessions whenever something new lands, offline build days across Pune, Bengaluru, Delhi, Chennai and Hyderabad, a job board, and the WhatsApp group that never closes. You join a cohort for eight weekends and a tribe permanently.
I'd rate myself low on technical skill. Will I be out of my depth? expand
Probably not, and I say that from the data. Every cohort asks people to self-rate on the way in, and the low scores are consistently wrong - they come from PMs who have written SQL, shipped with engineering teams, or already prototype with AI tools. People rate their confidence, not their ability. If you have ever been in a technical conversation and followed it, you are not a beginner here.
I want to lead technical conversations, not build. Is this for me? expand
Yes, and roughly a third of each cohort joins for exactly that. Two goals show up again and again: ship without waiting on a dev team, and hold a technical discussion without a translator. The second one needs the same foundations as the first - you cannot ask an engineer a sharp question about evals or retrieval if you have never built either. You still do the builds. The point of them is the fluency, not the artifact.
I've got 12+ years of experience. Am I too senior for this? expand
No. Recent cohorts have skewed senior - a lot of people between 4 and 18 years in, including staff engineers turned PMs and product leaders. That's deliberate. I'd rather teach the AI layer on top of real domain expertise than run a fresh-grad bootcamp. Nobody here is going to explain what a roadmap is to you.
What if I fall behind halfway through? expand
Tell me. That's what the 1:1s are for, and past cohorts averaged 5-10 of them per person. Recordings cover a missed session; a 1:1 covers a missed concept. The failure mode I actually worry about is people going quiet for three weeks and trying to catch up alone - so I check in, and I'd rather have an awkward conversation in Week 4 than a polite one in Week 8.