AI Is Rewriting Product.
Stop Nodding Along.
Start Building.
- cohorts
- 8
- alumni
- 139
- companies
- 111
- countries
- 8
Tools are everywhere. What's rare is people:
Not to become an engineer. To become better at product.
Registration for Cohort 09 is open →
Curated Professionals
Community at Core
Product Builder
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.
The Most Personal Room You'll Be In
A closed room of 18 to 24 experienced professionals, almost no two from the same company, and I personally vet every one of you. We learn together, get stuck together, and fix it together.
Me, Within Reach
Stuck at 11pm, debugging? Message me. I know everyone's name on day one, and I teach every live session myself.
Your Portfolio, Reviewed Every Month
Your own page at yourname.curious.pm. A real person reviews your whole online presence, from your portfolio to your LinkedIn, and tells you what to improve.
Built Live, Together
No passive watching. Eight live weekends, one three-hour session each, building real AI products from scratch with others beside you. Your code breaks? We debug it together.
Peers Who've Been There
The WhatsApp group never closes. Stuck on something? Someone has hit it before. Talk to any of the 139 from 111 companies; I'll introduce you. They help each other with job referrals too.
Your Own Idea, Built With Us
Register the one idea you have always wanted to build. For twelve months we build it with you and guide you on taking it to market. The code and the data stay yours.
Course Is
For You If..
You're an experienced professional who feels behind
You're willing to build (even though code looks scary)
You have the courage to look stupid while learning
You're building for the long-term
You believe in learning together
Course Is Not
For You If..
You've never worked on a product
You're hunting for job placement
You want to avoid the hard parts
You expect quick wins and guaranteed ROI
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.
Hrishi Swaroop
in/hrishi-swaroop-bhatnagar
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.
Anup Gunja
in/anup-gunjanThe 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.
Chinmaya Natarajan
in/chinmaya-natarajanWorking 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
in/paulkpaulAn 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.
Lakshmi Prasanna
in/lakshmi-prasanna-33449879An 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.
Projjal Dhar
in/projjaldharThe 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.
Palak Jain
in/palak13I'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.
Layth Ismail
in/laythismailThe 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.
Varun Ravula
in/varun-ravula-7170891aI 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.
Chabi Anand
in/chabi-anand-51b84162I 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.
Sachin Kumar
in/grow-with-sachinThis 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.
Piramanayagam T D
in/piramanayagam-td-226b0821I 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.
Amit Mohod
in/amit-mohodAfter 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.
Kaustubh Chaturvedi
in/kaustubh-chaturvediThe 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.
Pallavi Rajmohan
in/pallavi-rajmohanThis 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.
Raunak Pandey
in/pandeyraunakThis 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.
Guru Prasad
in/guru-prasad-kancharla-7b44962This 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.
Siddharth Chauhan
in/siddharthhchauhanThe 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.
N. Sambit Suman
in/n-sambit-suman-709532a2Three 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.
Nandhini Sivakumar
in/nandhinisivakumarbThe 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.
Neeharika Parasa
in/neeharika-parasaI 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.
Ranjith Kurukkath
in/ranjith-kurukkath-64917965This 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!
Vinit Gujarathi
in/vinit-gujarathiAnkit 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.
Pradeep Reddy
in/kprmcaThe 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.
Vidhika Chakravarti
in/vidhikachakravartiThe 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.
Lokesh Leel
in/leellokeshGreat 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!
Karine Majdalani
in/karine-majdalaniThis 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!
A Cohort For Eight Weekends, A Room For Good.
One session each weekend, 3 hours. Four on the technical core, two running your real product job, two on where the field is going and the idea you will build.
Pre-read: how LLMs work
Tokens, context windows, what a call costs, and the hard limits behind every AI product decision.
WEEKEND 1
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.
WEEKEND 2
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.
Milestone · after weekend 2
It Stops Being Magic
Tokens, the loop, tools. You can explain what it is doing, out loud.
WEEKEND 3
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.
WEEKEND 4
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.
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
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.
WEEKEND 6
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.
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 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.
WEEKEND 8
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.
Milestone · after weekend 8
Your Idea, Picked
Then twelve months of help building it, on your own clock.
Build Your Own Idea.
Three ways in. You keep the code and the data.
Start from ours
Take Over A Live Product
Podcast search, a voice journal, a people finder. Built by our team, yours to run.
Automate your job
An OS For Your Job
Your repeat work and your agents, running your week while you make the calls.
With the community
Build What You Always Wanted
A voice receptionist for a clinic. A WhatsApp bot for your building. Built with peers, with twelve months of help.
The Academy, For Life
Included with the course, for as long as you stay engaged. A real person is behind every part of it.
- Tutorials
- Project Ladders
- Referral Job Board
- The Monthly Issue
- Coffee In Person
- And A Lot More
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.
8 live sessions, 3 hours each (actually show up though)
All the expensive AI tools (on me)
1:1s when you're stuck - past cohorts averaged 5-10 per participant
An agent you built and scored, and an idea worth building next (not just certificates)
My WhatsApp (use wisely)
Lifetime Tribe - live sessions when something new lands, monthly offline meetups, job board across 111 companies
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.
I take great pride in the work I do - or else I don't do it.
What that means :
I personally vet every participant before they join.
I show up live every single week - no pre-recorded sessions.
I answer your messages, even at weird hours.
I actually know everyone’s name on Day 1.
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'm still curious every day.
I started Curious PM in 2023. No VCs, no outside money. 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 everyone in it I know by name.
139
PMs coached
Across Amazon, Microsoft, Airbnb, JPMorgan, and a long list of others. 18 to 24 per cohort - small by design.
111
Companies represented
Almost no two people 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.
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.
Every tool and credit you'll need, included so you can focus on building
A dedicated Claude Max subscription for every seat, plus every other tool you'll need to ship. No out-of-pocket API bills.
The Next Cohort - Small by Design
18 to 24 people 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
139 alumni from 111 companies. A real product shipped per person. Lifetime alumni community.
2026
November
Cohort
Applications open for Cohort 09. Personally vetted, 18-24 people. DM me on WhatsApp - I'll see if there's still a fit.
How to Join
(The Real Process)
It's a carefully curated cohort of ambitious professionals who build products, ready to master AI at a deep level.
Start a Conversation
Message me on WhatsApp. No forms. No "sales team will contact you." Just you and me, talking. That's the start of the coaching.
Got an invite code, or know a past member? Skip to step 4 →
We'll Talk (Really Talk)
I personally vet every applicant on this call. We'll figure out 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.
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.
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.
You're Part of Something That Lasts
Not just someone who took a course. Part of a Tribe of people 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.
Questions People Actually Ask
Real questions from people considering this program. Answered honestly.
When's the next cohort?
Why one session a weekend? Earlier cohorts ran two.
I'm not in India - does this work for me?
What if I already know the LLM basics?
Why so few seats per cohort?
How do 1:1s with you actually work?
What if I miss a session?
What happens after the eight weekends? Do I lose access?
I'd rate myself low on technical skill. Will I be out of my depth?
I want to lead technical conversations, not build. Is this for me?
I've got 12+ years of experience. Am I too senior for this?
What if I fall behind halfway through?
Next Cohort Starts In