Starts 6 June, 2026 · Cohort 1
Live AI Product Manager Bootcamp

AI Product Manager Cohort Built exclusively for Working Product & Project Managers

A 9-week intensive to go from PM to AI-native PM, with a shipped AI product, an eval report you can defend, and a portfolio piece that walks into any AI PM interview the next morning.

★ Inner Circle · Until 2 June, 2026
US$630 → US$840
A working session with the core team to refine the curriculum before Cohort 1 begins. Price lowered in return for your input.
Standard · From 3 June, 2026
US$840
Cohort begins Sat, 6 June, 2026
Join Inner Circle - US$630 →

Save US$210 · Enroll before 2 June, 2026

Talk to a Counselor Chat on WhatsApp
The Inner Circle

Have a say in what Cohort 1 becomes.

Price lowered in return for your input.

A few days before the cohort begins, the core team will host a private working session with Inner Circle members. You bring the AI tools your team is trying, the product decisions you're stuck on, the gaps in your current PM stack. We listen. Then we shape the weekend deep-dives, case studies, and capstone directions around what you asked for.

This room exists once. After 2 June, 2026, the Inner Circle closes.

That's the trade. Your time and input now, in exchange for a US$210 lower price and a curriculum genuinely enhanced by you.

This isn't a webinar. It's the working session that makes Cohort 1 yours.
◐
Refine the curriculum
A working session with the core team. You bring real PM problems; we shape the deep-dives, case studies, and capstone around them.
◆
A price benefit for your input
US$630 instead of US$840. Not a discount. Your time and feedback before Day 1 is what earns the lower price.
◉
Lock in the Inner Circle price
US$630 secured before standard pricing opens on 3 June, 2026. No waitlist, no uncertainty, no chance of paying more later.
Claim your Inner Circle price →
Save US$210 · Closes 2 June, 2026
The Promise

9 weeks from now, you'd have built and shipped production AI.

Not theory. Not another LinkedIn course on prompting. A working cohort, not a viewing cohort.

19
Live Sessions
1
Shipped AI Product
3
Live Simulations
100%
You Build It
Wk 1-2 · 4 sessions

PM Fundamentals

Discovery, PRDs, stakeholders, metrics: the basics every AI PM must own before AI sits on top.

Wk 3-4 · 6 sessions

AI Fundamentals

LLMs, prompting, RAG, agents, MCP. Technical fluency for PMs who lead engineering, not the other way around.

Wk 5-6 · 5 sessions

AI PM Foundations

Opportunity mapping, AI UX, evals, pricing, moats, GTM. The AI PM craft itself.

Wk 7-9 · 4 sessions

Build & Showcase

Capstone build sprint. Live simulations. LinkedIn masterclass. Demo Day with judges.

Who This Is For

Built for working product and project managers ready to make the AI shift.

No ML background needed. No coding. Just product experience, curiosity, and the willingness to ship.

Career-Stage PMs

Mid-career Product Managers (5+ yrs) who feel the ground shifting under them. You've shipped products. You haven't shipped AI products. This cohort is the bridge.

The PM-Ready Operators

Business Analysts, Scrum Masters, and Project Managers who see the PM ladder bending toward AI. You've earned the right to lead. This gives you the AI craft to do it.

The Ambitious Juniors

PMs with 3–5 years of experience who want to specialise early. The next decade of product leadership belongs to AI-native PMs. Start now.

Prerequisites

  • 3+ years of product, BA, Scrum, or project management experience
  • Comfort with structured thinking and stakeholder communication
  • Willingness to ship a real AI product by Week 9
This is not a beginner course. We assume PM fundamentals.
The Framework

Master. Translate. Ship.

Most courses teach one. We teach all three, and how they work together.

01

Master

The PM fundamentals that don't change because of AI. Discovery, PRDs, prioritization, stakeholder craft, North Star metrics. The spine.

02

Translate

The AI fluency that lets you lead engineers, not be led. LLMs, prompting, RAG, agents, MCP, evals. Explained for PMs, no Python required.

03

Ship

A real AI product, deployed, with evals. By Week 9 you have a working URL, a defended eval report, and a portfolio piece.

How It Works

Learn. Apply. Build. Ship.

Designed for working professionals. Two sessions a week, three hours each, weekends.

STEP 01
Learn

2 live sessions per week · Sat & Sun, 6 PM to 9 PM IST · Recordings within 24 hours.

STEP 02
Apply

Every session ships one assignment from your real work, reviewed by mentors.

STEP 03
Build

Capstone with reviews · Build using Lovable, v0, Bolt.new, n8n, and more.

STEP 04
Ship

Deploy a live AI product · Defend on Demo Day · Add it to your portfolio.

The Curriculum

9 weeks. 19 sessions. Every session has an output.

Sat & Sun, 6 PM to 9 PM IST. Three hours per session.

Session 1 - AI PM Intro & The AI Landscape
Evolution of the PM role in the AI age · Types of AI products & features · Traditional PM vs AI PM · Analytics vs Automation vs AI · AtliQ project examples
Output: AI Product Landscape Map
Session 2 - AI Family Tree + LLM Fundamentals
The AI family tree · AI Cheat Sheet for PM decisions · LLM fundamentals: transformers, tokens, context windows · Pre-training vs fine-tuning vs RAG vs prompting · Model selection across Claude, GPT-4o, Gemini, Llama · Token, embedding & inference cost
Output: AI Decision Matrix + Model Selection Cheat Sheet
Session 3 - Prompting, RAG, Memory & Context Engineering
Prompting techniques · Context vs Behaviour Matrix · RAG pipeline end-to-end · Memory strategy · Prompt versioning in production · Failure modes: injection, jailbreaks, context overflow
Output: Prompt Pack + RAG Context Flow Diagram
Session 4 - Agents, Multi-Agent Workflows, MCP & OpenClaw
Agents vs chatbots vs assistants · Agent architecture: Sense, Plan, Act · Multi-agent workflows · Model Context Protocol (MCP) · Human-in-the-loop design · Autonomy staircase
Output: Agent Workflow Blueprint + Autonomy Staircase Map
Session 5 - Problem Discovery & User Research
Why most products fail · Mom's Test & JTBD interviews · AI-shaped vs logic-shaped problems · Personas, empathy maps, 5-Why
Output: Problem Discovery Brief + Interview Notes
Session 6 - AI Design Thinking + AI Opportunity Mapping
AI Design Thinking loop · AI-shaped vs logic-shaped problems · 5-A Framework for use-case validation · Opportunity scoring matrix · The AI Opportunity Statement
Output: JTBD Canvas + 5-A AI Use-Case Validation Sheet
Session 7 - PRDs for AI Products + North Star Metrics + JTBD
AI PRD anatomy · Context pipeline in a PRD · Memory strategy · Failure modes & guardrails · North Star Metric for AI · Output vs outcome vs trust signals
Output: AI PRD v1 + North Star Metric Sheet
Session 8 - Stakeholder Management
Stakeholder management (Hem's live lecture) · Responsible AI: bias, fairness, transparency, hallucinations · EU AI Act overview for 2026
Output: Stakeholder Map + Responsible AI Risk Checklist
Session 9 - AI Opportunity Mapping
5-A Framework for opportunity validation · Opportunity scoring matrix · Workflow mapping for AI interventions · AI vs non-AI solution framing
Output: AI Opportunity Scoring Matrix + Opportunity Statement
Session 10 - Designing AI Systems + Data Strategy
AI system design for PMs · Context pipeline & feedback loops · Data strategy & readiness · Privacy & compliance by design
Output: AI System Map + Data Strategy Canvas
Session 11 - AI Roadmap + AI UX, Trust & Safety
AI roadmapping with model-dependent milestones · Now / Next / Later roadmap · AI UX principles · 3P Framework: Prioritisation, Placement, Prominence · Trust scaffolding & safety design
Output: AI Roadmap + Trust & Safety UX Flow
Session 12 - AI Evals: LLM vs Traditional + Metrics
Why traditional QA breaks for AI · LLM evals vs traditional evals · Golden datasets & error taxonomy · Offline vs online evals · LLM-as-a-Judge & LangFuse
Output: AI Evaluation Plan + Metrics Scorecard
Session 13 - Context vs Behaviour Matrix + MVP with AI Tools
Context vs Behaviour Matrix for agents · MVP philosophy for AI products · No-code AI build with Lovable, v0, Bolt.new, n8n
Output: Working AI MVP + Context vs Behavior Matrix
Session 14 - AI Metrics, Pricing & Unit Economics
AI-specific metrics: activation, adoption, retention · Quality metrics: accuracy, precision, recall, F1 · Unit economics: CAC, LTV, gross margin · 3 AI pricing models: usage, seat, outcome · Freemium, tiered, credit-based pricing
Output: AI Metrics Dashboard + Pricing & Unit Economics Sheet
Session 15 - AI Product Strategy, Moats & GTM
AI-native vs AI-enabled strategy · Build vs buy vs partner · AI moats: data, workflow, feedback-loop, integration, distribution · GTM models: PLG, sales-led, enterprise · Pilot-to-paid conversion · Enterprise readiness
Output: AI Product Strategy + Moat + GTM Canvas
Session 16 - Capstone Introduction + LinkedIn Masterclass
Capstone scope & MVP boundary · Demo storyline & portfolio case study · LinkedIn headline, About, Featured project · What recruiters look for in AI PM profiles
Output: Capstone Plan + LinkedIn Profile Brief
Session 17 - Capstone Review + Portfolio Structuring
First capstone draft review · PRD completeness check · UX trust & fallback flows · Eval plan & roadmap review · Mentor & peer feedback scorecard
Output: Capstone Plan + MVP Scope + LinkedIn Pack
Session 18 - Career Readiness + Capstone Polish + Final Mock & Demo Rehearsal
AI PM resume bullets · LinkedIn positioning refinement · Product sense & AI case interview practice · Mock interviews · 5-minute demo rehearsal · Final portfolio readiness
Output: Demo-Ready Portfolio + Mock Interview Pack
Session 19 - Demo Day
Final AI PM product showcase · Prototype walkthrough · Evaluation & metrics overview · Pricing & GTM overview · Mentor and judge Q&A · Public LinkedIn portfolio publish
Output: Final AI PM Portfolio + Demo Presentation + Publishing Plan

We update about 20% of the curriculum regularly to keep pace with how AI product work is evolving.

Faculty

Taught by founders and operating leaders who ship AI for a living.

Dhaval Patel
Dhaval Patel
Founder, Codebasics · Ex-NVIDIA · 17+ years in AI & data
1.5M+ YouTube subscribers · 688K+ learners

Teaches the technical fluency modules: LLM fundamentals, RAG architecture, model selection. The signal-to-noise that lets PMs talk to engineers.

Hemanand Vadivel
Hemanand Vadivel
Co-founder, Codebasics · 10+ years in analytics & leadership
Built and scaled teams across international markets.

Teaches the operating-leader modules: stakeholder management, AI pricing & GTM, the Personal Branding masterclass. The art of leading AI work.

Karandeep Grover
Karandeep Grover
CEO, AtliQ Technologies · 7+ years at AtliQ · 6 years in AI & Product
Shipped AI and product work with 55+ companies across the US and UAE.

Teaches how AI products actually ship in real companies. The AtliQ case studies threaded through the curriculum come from his bench.

Priyanka Mishra
Priyanka Mishra
Product Manager, AtliQ · 9+ years · 5 years in B2B SaaS
4+ years shipping AI-enabled product execution.
Practitioner-in-Residence

Shapes the AtliQ case studies and PM artifacts that thread through the curriculum.

Plus guest sessions from working AI PMs, AI engineers, and operating leaders shipping production AI in 2026.

Tools you'll master

The AI-native PM stack you'll ship with.

Every tool below is used hands-on across the 9 weeks. You'll leave fluent in the stack that working AI PMs actually use, not just the names of things.

AI Models Frontier LLMs you'll prompt, compare, and select between
Claude
Claude
Long-context reasoning
GPT-4o
GPT-4o
Multimodal, fast inference
Gemini
Gemini
Google's frontier model
Llama
Llama
Open-weight alternatives
Codex
Codex
Code-native generation
No-code & Low-code Build Ship your capstone product without writing a backend
Lovable
Lovable
Full-stack AI apps from prompts
v0
v0
Vercel's AI UI builder
Bolt.new
Bolt.new
Browser-based AI dev
n8n
n8n
Visual AI workflow automation
Evals & Observability The spine that makes AI products production-ready
LangFuse
LangFuse
LLM tracing & eval rubrics
Investment

The earlier you join, the lesser you pay.

Inner Circle members give us their input on the curriculum and lock in at lower price. Standard pricing opens 3 June, 2026, ahead of the Cohort 1 start.

★ Cohort 1 Enrollment
AI Product Manager Cohort
Starts Saturday, 6 June, 2026 · Sat & Sun · 6 PM to 9 PM IST
★ Inner Circle · Until 2 June, 2026
US$630
Standard · From 3 June, 2026
US$840

One-time payment

What's included in both tiers
  • 9-week intensive · 19 live sessions
  • 3 live simulations on your capstone
  • Capstone build with deployed live URL
  • Hemanand's Personal Branding & LinkedIn AI PM masterclass
  • Demo Day with judging panel of working AI PM leaders
  • 1 year access to all recordings
  • Certificate of completion
  • Alumni network access
  • No-questions-asked refund before 8 June, 2026
  • Access to Soft Skills Bootcamp
Join Inner Circle - US$630 →

Secure Checkout

Both tiers receive the same Cohort 1 curriculum, the same live sessions, the same capstone, the same Demo Day. The only difference: Inner Circle members enroll before 2 June, 2026 and join a private working session with the core team a few days before Day 1 to fine-tune what the curriculum becomes. That contribution is what earns the US$210 lower price. It isn't a flash sale and isn't a downgrade. It's a different deal for people willing to commit early and help build the cohort, not just consume it.

No-Questions-Asked Refund

Enroll with zero risk. Attend the first two live sessions of the cohort, and if you feel it's not the right fit for you, request a full refund on or before 8 June, 2026. 100% money back, no questions asked.

Questions

Frequently Asked.

No. We assume 3+ years of product, BA, Scrum, or project management experience. If you're earlier in your career, start with our existing courses first.
No. The cohort is explicitly hands-on with no Python required. You'll use no-code AI tools, Lovable, v0, Bolt.new and n8n, to build your capstone.
We don't promise jobs. We promise a portfolio piece, a personal-brand rebuild, alumni network access. Outcomes follow effort.
If you register and it's not what you expected, you have until 8 June, 2026 to request a 100% refund, no questions asked.
This is a 9-week live cohort with mentor reviews, a capstone you defend on Demo Day, and direct access to operating leaders shipping AI products at AtliQ and Codebasics. Different format, different outcome.
Saturdays and Sundays, 6 PM to 9 PM IST. Three hours per session, two sessions per week.
You keep 1 year access to all recordings. You join the alumni network.
Recordings are available within 24–48 hours. You can watch at your own pace, but live attendance is strongly recommended. Half the value is in the room.
The Inner Circle is early enrollment for Cohort, open until 2 June, 2026. Members join a working session with the core team a few days before the cohort starts. They bring real PM problems and gaps in their current stack, and we refine the curriculum, case studies, and capstone directions around what they share. The price is lower in return for that input. It's not a discount. It's a value exchange. Standard registrations open 3 June, 2026, and the cohort starts Saturday, 6 June, 2026.
Inner Circle registrations close 2 June, 2026. Standard pricing registrations open 3 June, 2026 and close on 5 June, 2026. After that, no new enrollments for the Cohort.
No. Registrations are open until 5 June, 2026.
The Soft Skills Bootcamp is a separate Codebasics program covering professional communication, executive presence, workplace influence, and stakeholder management - the fundamentals that make technical people effective leaders. Once you enroll in the Cohort, access is included automatically. Log into your Codebasics dashboard, go to your AI PM Cohort section, and you will find the Soft Skills Bootcamp courses listed there alongside your cohort materials. No separate purchase or enrollment needed.
Yes. If you have already paid for the Soft Skills Bootcamp or any individual course that is a part of it, the amount you paid for that purchase will be deducted from your Cohort fee at checkout.
All four tools have free tiers that are more than sufficient for learning and building. You will not need a paid plan to participate in the cohort. If you later want to scale your product significantly beyond what the free tiers allow, paid plans are available on each platform, but that decision is entirely yours after the cohort ends, and it is not a requirement.

The PMs who get this right early define the next decade of product work.

Join Inner Circle - US$630 →

Inner Circle closes 2 June, 2026 · Cohort starts Sat, 6 June, 2026

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