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The AI-Native PM

Already a PM? In one weekend, build your own AI toolkit on your real product — and become the AI PM on your team.

★ 4.8 (86 reviews)2 formatsLive · onlineFrom ₹7,000
Raunak SwarnkarTaught by Raunak SwarnkarProduct Leader & Instructor
  • Live weekend classes, or a 1-day intensive
  • Portfolio project + public Demo Day
  • Mock interviews, resume help & referrals
  • Certificate + lifetime access
Learners now build atGoogleMetaAdobeFlipkartRazorpayServiceNowPaytm

Two ways in — which fits you?

Start small, or go all-in. Both are live and hands-on.

Try it

1-Day Bootcamp

₹7,000
  • Set up your AI-PM toolkit (Claude, MCP)
  • Build one real workflow, live
  • See the full method in action
You leave with: One shipped workflow + a head start
Get the job

4 Week Sprint

₹24,000
  • Discovery, specs, prototypes and evals
  • A portfolio project every weekend
  • Demo Day, mock interviews and referrals
You leave with: Portfolio + Demo Day + job support

Try the Bootcamp first — your ₹7,000 is credited if you upgrade to the Sprint.

What you'll walk away with

Two days, on your own product. No lectures longer than 20 minutes.

Your product's context stack (L1–L2)

Stand up the 5-file context system on your real product, in the room.

Your own skills and workflows (L3–L5)

Author SKILL.md files for the PM tasks you repeat every week.

Operational wrappers (L6)

Hide complex chains behind simple commands so juniors on your team get senior output.

Take it back to your team

Leave with a stack you can run Monday and a plan to roll it out to colleagues.

Tools you'll build with
Claude Codex Gemini Cursor Copilot v0 MCP
4 weekends
of live, two-way time
Demo Day
closes every cohort
24 seats
kept hands-on
4.8/5
average rating
Your instructor · teaches every session

Raunak Swarnkar

A product leader, instructor and ex-founder. Raunak has led product as Head of Product and shipped AI products end to end, and he advises startups from seed to Series C — plus leading brands — on product strategy, GTM, PLG and turning their teams AI-native. He works hands-on with founders and CxOs, and teaches every course himself.

8+ yrs
In product
Seed–Series C
Startups advised
PLG · GTM
Growth playbooks
AI-native
Teams shipped

Run of show

2 days · 12 live hours · your own agentic PM stack

  1. Day 1 · AM9:30 – 12:30

    Context and connectors

    MilestoneThe 5-file context system live on your product, with one MCP connector wired in.
    See the sessions
    Opening
    60 min. What changes for an experienced PM when an agent joins the team.
    Hands-on
    90 min. Stand up your context system and connect a real tool via MCP.
    Checkpoint
    30 min. Pair review — is the agent grounded in your real situation?
  2. Day 1 · PM13:30 – 17:30

    Author your skills

    MilestoneThree SKILL.md files for tasks you repeat every week.
    See the sessions
    Pick your tasks
    Choose the PM motions you do most — discovery, specs, prioritisation, stakeholder updates.
    Hands-on
    150 min. Author skills with coaching, drawing on the framework and prioritisation libraries.
    Capture
    60 min. Test each skill against a real input from your backlog.
  3. Day 2 · AM9:30 – 12:30

    Chain workflows and wrappers

    MilestoneAn end-to-end guided workflow behind a single command.
    See the sessions
    Build
    120 min. Chain your skills into a guided workflow and wrap it in a slash command.
    Stress test
    60 min. Add evals and guardrails; find where it breaks before your team does.
  4. Day 2 · PM13:30 – 16:30

    Demo Day wall + rollout

    MilestoneYour stack on the wall, plus a plan to roll it out to your team.
    See the sessions
    The wall
    90 min. Everything goes up. Structured peer critique in rotating groups.
    Rollout
    60 min. How to introduce this to colleagues without a top-down mandate.
    What's next
    30 min. Where this goes, and how the leadership track standardises it across a team.

Is this you?

Right for you

For working PMs ready to become the AI-native one on their team.

You want to do the work, not just watch — and leave with proof you can.

What you get

Your product's context stack (L1–L2)

Leave with a stack you can run Monday and a plan to roll it out to colleagues.

How it works

Live, hands-on, agentic

Every fundamental paired with the AI workflow that makes it 10× faster.

Prerequisites: You currently work as a PM (or an adjacent role owning product decisions). Bring your real product and a laptop. No coding required — the no-code track covers every step — but come with a real product in mind.
Who this isn't for
  • You've never worked as a PM — take the AI-Native PM Foundation course first.
  • You can't bring a real product to build on. There's nothing to author against.
  • You want to standardise this across a whole team — that's Team Training.

What's included

12 live hours

Two full days of coached build time, capped at 24 people.

Your own agentic PM stack

Context, skills, workflows and wrappers running on your real product.

The workflow library

Templates, the 'Use When' prioritisation library, PRD formats and prompt patterns.

Demo Day wall

Structured critique from 20+ practising PMs on the thing you made.

Recording and materials

Everything from the room, plus lifetime access to updates.

Certificate of completion

Share it with your employer or on LinkedIn.

Questions, answered

Is this for people new to product?
No — this assumes you already work as a PM. If you don't have the title yet, start with the AI-Native PM Foundation course.
Do I need to bring a product?
Yes, and it matters. People who arrive with a real product from their own work leave with a stack they use on Monday.
Online or in-person — which is better?
The method is identical. Pick in-person if the room and the Demo Day wall matter to you; online if travel doesn't make sense.
What if I can't finish in the weekend?
Almost everyone does — scope is set with you at the first checkpoint. If not, you keep the stack and get a 30-minute follow-up call.
Can you run this for my whole team?
Yes — that's the Team Training track, run privately on your product.
What's the refund policy?
Full refund up to seven days before the start date. After that the seat transfers to a colleague or a future cohort.

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Already a PM? In one weekend, build your own AI toolkit on your real product — and become the AI PM on your team.

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The AI-Native PM
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