Live AI Product Manager Cohort

Brand New

Built Exclusively for Working Product & Project Managers

A live cohort-based AI Product Manager program designed to help you go from traditional PM workflows to building AI-first products covering LLM applications, AI product strategy, prompt engineering, prototyping, user research, and product execution.


Learn from industry practitioners through hands-on sessions, real-world projects, and a capstone AI product build. Inner Circle pricing closes Tuesday, June 2. Standard pricing begins June 3.

19

Live Sessions

9

Weekends

3

Live Stimulations

1

Capstone Project

1 Year

Access to Class Recordings

0

Enrolled Learners

Live AI Product Manager Cohort
US$630
US$840 from June 3 · Save US$210

Created by :

Dhaval Patel & Hemanand Vadivel
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In-demand Skills

Learn In-demand Skills

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Codebasics Promise

We stand by the quality of our content. Not satisfied? No questions asked refund until 08th June 2026

Added Benefit

If you have already taken our paid course(s), you will pay only the difference (This Bootcamp Price - Money You Paid for Course(s) Price)

19

Live Sessions

9

Weekends

3

Live Stimulations

1

Capstone Project

1 Year

Access to Class Recordings

What Makes This Bootcamp Different?

  • 100% LIVE, instructor-led sessions every weekend with real-time interaction, Q&A, and doubt clearing.

  • Covers a broad curriculum: LLM fundamentals and RAG pipelines to agents, MCP, evals, unit economics, and GTM strategy.

  • Designed & taught by practitioners with hands-on experience building and shipping AI products.

  • Get hands-on experience with the modern AI Product Manager tool stack

  • Structured around judgment: when to use AI, when not to, and how to validate decisions using frameworks.

  • Dedicated session on AI evals.

  • Responsible AI built into the curriculum with hallucination handling, fallback design, failure modes, and EU AI Act basics.

  • Capstone project reviewed by mentors.

  • Demo Day in front of mentors and peers. Present your product, get feedback, and build a story you can speak to in interviews.

  • Career support included - resume guidance, LinkedIn optimisation, and interview preparation to help you put your best foot forward.

Overview

What you'll learn additionally in
this Bootcamp

Week-1: PM Fundamentals + AI Fundamentals

PM & AI

  • 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.

The Real Comparison

Why Choose Codebasics?

See how we stack up against overpriced bootcamps and random courses.

Feature Others Codebasics
Learning Structure Random videos, no path Step-by-step curriculum
Doubt Support You're on your own Dedicated doubt solving
Industry Projects Toy data sets Real company case studies
Placement Help Marketing gimmicks Genuine job assistance
Teaching Methods Complex, boring Simplified with cinematic experiences

May we help you?

Frequently Asked
Questions

Q.1 How is this different from recorded AI PM content available online?

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.

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.

Q.1 Is this designed for fresh graduates?

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.

Q.1 Do you offer job placement?

We don't promise jobs. We promise a portfolio piece, a personal-brand rebuild, alumni network access. Outcomes follow effort.

Q.1 I already purchased the Soft Skills Bootcamp or a course that is part of it. Do I get a price reduction on the AI PM Cohort?

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.

Q.1 What is the refund policy?

If you register and it's not what you expected, you have until 8 June, 2026 to request a 100% refund, no questions asked.

Q.1 When do registrations close?

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.

Q.1 Do I need to pay for the no-code tools used in the capstone - Lovable, v0, Bolt.new, n8n?

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.

Q.1 How is this different from recorded AI PM content available online?

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.

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.

Q.1 Is this designed for fresh graduates?

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.

Q.1 Do you offer job placement?

We don't promise jobs. We promise a portfolio piece, a personal-brand rebuild, alumni network access. Outcomes follow effort.

Q.1 I already purchased the Soft Skills Bootcamp or a course that is part of it. Do I get a price reduction on the AI PM Cohort?

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.

Q.1 What is the refund policy?

If you register and it's not what you expected, you have until 8 June, 2026 to request a 100% refund, no questions asked.

Q.1 When do registrations close?

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.

Q.1 Do I need to pay for the no-code tools used in the capstone - Lovable, v0, Bolt.new, n8n?

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.

Inner Circle Price · US$630 · Until 2 June, 2026 · US$840 from 3 June, 2026

Enroll Now
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