AI Product Manager Bootcamp Cohort 1: All 19 Sessions + Bonus Client Interaction Calls, Recorded

Recorded

The complete Cohort 1 curriculum, at your own pace.

All 19 sessions of Cohort 1 + Bonus Client Interaction Sessions, recorded. The same curriculum, the same faculty, the same projects, available the moment you buy. Covers LLM applications, AI product strategy, prompt engineering, prototyping, user research, and product execution, taught by practitioners who ship this work. This is the recorded set only. There are no live sessions, no doubt-clearing calls and no capstone review. If you want the live room, Cohort 3 starts 24th October and enrollments open 1st October.


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Learn

Anytime

19

Recorded Sessions

1

Capstone Project

1 Year

Access from Purchase

147+

Learners in Cohorts 1 & 2

0

Enrolled Learners

AI Product Manager Bootcamp Cohort 1: All 19 Sessions + Bonus Client Interaction Calls, Recorded
US$420

Created by :

Dhaval Patel
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We stand by the quality of our content. Full recordings are now available instantly, so you can learn flexibly and revisit sessions anytime.

Added Benefit

Buy the recorded sessions for US$420 today. If you join a live cohort later, you pay only the difference, US$420 against Cohort 4 at US$840.

Download Brochure

Learn

Anytime

19

Recorded Sessions

1

Capstone Project

1 Year

Access from Purchase

147+

Learners in Cohorts 1 & 2

What Makes This Bootcamp Different?

  • All 19 sessions of the Cohort 1 curriculum, recorded and released in full. Watch in any order, at any pace, as many times as you like.

  • 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 lecture on AI evals.

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

  • Capstone project with guidance - included when you upgrade to the live cohort

Overview

What you'll learn in
this Recorded - AI Product Manager 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Output: Final AI PM Portfolio + Demo Presentation + Publishing Plan

Download Brochure

Exactly what you get, and what you do not.

Included

  • All 19 session recordings from Cohort 1, in full

  • Bonus: Client Interaction recordings

  • Every file/resource used in the sessions

  • The complete 9-week curriculum, in the original order

  • The capstone brief and assessment criteria

  • One year of access from the day you buy

  • Watch at any pace, in any order, as many times as you like

Not Included

  • No live sessions. Nothing is delivered in real time

  • No doubt clearing. No live Q&A and no faculty response window

  • No capstone review. Your project is not assessed, and there is no demo day

  • No cohort Discord. No peer group and no weekly community

  • No mock interview and no personal branding session

If any of the right-hand column matters to you, wait for the live cohort. Cohort 3 starts on 24th October, and enrollments open on 1st October. Buy the recordings now, and you pay only the difference when you upgrade.

May we help you?

Frequently Asked
Questions

Q.1 Can I get a refund?

No. The recorded sessions are non-refundable. The complete set is released to you the moment you pay, so there is nothing to return. Everything included and everything excluded is listed on this page, and we would rather you read it carefully than buy and regret it.

Q.1 Is this the live cohort, or the recordings?

The recordings. You get all 19 sessions of Cohort 1 exactly as they were delivered, and nothing that happens live. No real-time sessions, no doubt clearing, no capstone review, no Discord. If you want the live room, Cohort 3 starts 24th October and enrollments open 1st October.

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 Can I upgrade to a live cohort later?

Yes. What you paid for the recorded sessions is deducted from the live cohort price. Against Cohort 3 at US$840 you would pay US$420.

No. The recorded sessions are a flat US$420. Course credits apply to live cohort enrollments, and they will apply if you upgrade to a live cohort from here.

Q.1 How long do I have access?

One year from the day you buy. The sessions are yours to watch in any order, at any pace, as many times as you like within that year.

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 Can I get a refund?

No. The recorded sessions are non-refundable. The complete set is released to you the moment you pay, so there is nothing to return. Everything included and everything excluded is listed on this page, and we would rather you read it carefully than buy and regret it.

Q.1 Is this the live cohort, or the recordings?

The recordings. You get all 19 sessions of Cohort 1 exactly as they were delivered, and nothing that happens live. No real-time sessions, no doubt clearing, no capstone review, no Discord. If you want the live room, Cohort 3 starts 24th October and enrollments open 1st October.

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 Can I upgrade to a live cohort later?

Yes. What you paid for the recorded sessions is deducted from the live cohort price. Against Cohort 3 at US$840 you would pay US$420.

No. The recorded sessions are a flat US$420. Course credits apply to live cohort enrollments, and they will apply if you upgrade to a live cohort from here.

Q.1 How long do I have access?

One year from the day you buy. The sessions are yours to watch in any order, at any pace, as many times as you like within that year.

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.

All 19 sessions of Cohort 1, recorded. US$420. Instant access, one year.

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