What Makes This Bootcamp Different?
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100% live, instructor-led weekend sessions with real-time interaction, Q&A, and doubt clearing.
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Learn from experienced AI product professionals, AI engineers, and data scientists from AtliQ Technologies and other companies, with exposure to real business challenges and practical AI use cases.
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A comprehensive AI Product Management curriculum, covering LLM fundamentals, RAG pipelines, AI agents, AI evals, unit economics, pricing, and go-to-market strategy.
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Designed and taught by industry practitioners with hands-on experience building and shipping AI products.
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Hands-on experience with the modern AI Product Manager tool stack through practical exercises, prototypes, and project work.
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Built around product judgment, helping you understand when to use AI, when not to, and how to validate decisions using practical frameworks.
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Dedicated coverage of AI evaluations, including quality measurement, testing approaches, and success metrics.
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Responsible AI integrated into the curriculum, covering hallucination handling, failure-mode mapping, guardrails, and the basics of the EU AI Act.
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A mentor-reviewed capstone project that helps you take an AI product from problem discovery to prototype and stakeholder presentation.
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Demo Day with mentors and peers, where top capstone projects are presented for feedback, and every student builds a compelling project story for interviews.
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Career support included, with resume guidance, LinkedIn optimisation, and live mock interview practice to help you put your best foot forward.
Overview
What you'll learn in
this Live AI Product Manager Bootcamp
Week-1: AI PM Fundamentals + AI Foundations
PM & AI
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Session 1 - The AI Product Manager
Why AI is changing Product Management · AI PM salaries & hiring trends · Types of AI PMs · AI PM vs PM vs TPM vs ML PM · Traditional PM vs AI PM · Scope & responsibilities · AI-first thinking · Future of Product Management
Output: AI PM Role Map + Program Roadmap
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Session 2 - AI Foundations for Product Managers
The AI Family Tree · AI vs ML vs Deep Learning vs Generative AI · Rule-based Systems vs ML vs GenAI vs AI Agents · Supervised, Unsupervised & Reinforcement Learning · Classification vs Regression vs Clustering · LLM Fundamentals · Tokens · Embeddings · Semantic Search · Vector Databases · RAG · Hallucinations
Output: AI/ML Landscape Map + LLM Cheat Sheet
Week-2: Problem Discovery + Evaluation & Guardrails
AI PM
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Session 3 - AI Problem Discovery & User Research
Why AI projects fail · AI Discovery Framework · JTBD · Mom Test · Personas · Empathy Mapping · 5 Whys · Live examples and use cases (Dr Sara and HR)
Output: Discovery Framework + Persona Canvas
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Session 4 - AI Evaluation & Guardrails
AI Eval Stack: human eval vs LLM-as-a-Judge · Precision, Recall, F1, AUC-ROC · LangSmith / Ragas (intro) · Guardrails & why PMs need them · Hallucination Mitigation · Safety Guardrails
Output: Eval Scorecard + Guardrail Checklist
Week-3: Product Metrics & Analytics + AI PRDs
AI PM
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Session 5 - AI Metrics, Product Analytics & Experimentation
AI Metrics · Product Metrics · Business Metrics · North Star Metric · AARRR · A/B Testing
Output: Metrics Framework + A/B Test Plan
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Session 6 - AI PRDs & Designing AI Products
Product Development Lifecycle · BRD vs PRD vs FRD · AI PRD - live build with the class
Output: AI PRD Template
Week-4: Prompting & RAG + AI Toolkit & Vibe Coding
AI
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Session 7 - Prompting, Context & RAG for AI PMs
RCTF Framework · Zero/one/few-shot prompting · Context Engineering: PM vs engineering control · Structured Outputs · What/why/how of RAG · Fine-tuning vs Prompting vs RAG · Prompt Versioning
Output: Prompt Pack + RAG Decision Guide
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Session 8 - AI PM Toolkit & Vibe Coding (Building a RAG Application)
Tools: ChatGPT, Claude, Gemini, Perplexity, NotebookLM, Claude Code, Claude Design, Git/Github · Building MVPs without coding · Live RAG chatbot build (telecom example) · Tech stack: Groq, IDE
Output: AI Tool Stack Map + Live RAG Chatbot Build
Week-5: AI Agents & Automation + Stakeholder Management
AI PM
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Session 9 - AI Agents, MCP & Automation
AI Agents & their types · Tool Calling · MCP · Memory · Multi-Agent Systems · Zapier / n8n / Make · LangChain intro · LangChain VibeCoding Project · AI Workflow Automation | Modal
Output: Agent Workflow Blueprint + Automation Map
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Session 10 - Stakeholder Management + Capstone
Communication as a timeless PM skill · The AER Framework · Listening ratio & self-awareness · Stakeholder mapping & power-interest grid · Capstone project launch
Output: Stakeholder Map + Capstone Brief
Week-6: AI System Design + Data Strategy
AI PM
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Session 11 - AI and Data Strategy (System Design) - 1
GPT vs Claude vs Gemini vs Open Source · Reading Model Benchmarks · Cost vs Quality vs Latency · Multimodal AI · Build vs Buy vs Partner · MVP definition · Automation vs ML vs GenAI vs Agent Decision Framework · AtliQ case studies
Output: Model Selection Matrix + System Design Canvas
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Session 12 - AI and Data Strategy (System Design) - 2
Why data strategy matters · PM vs data engineer responsibilities · Types of context · Data procurement & readiness · Golden data & storage · MLOps (PM Perspective)
Output: Data Readiness Checklist + MLOps Overview
Week-7: Responsible AI & UX + AI Economics
AI PM
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Session 13 - Responsible AI, AI Ethics & UI UX Design
Responsible AI · Bias & Fairness · Privacy · Security · Governance · AI Compliance (EU AI Act) · AI UX Principles & HAX Toolkit
Output: Responsible AI Checklist + UX Principles Card
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Session 14 - AI Economics & Business Models
Token Economics · Model Pricing · Cost Optimization · Usage-based Pricing · Unit Economics (RAG chatbot cost activity) · ROI
Output: Cost Estimation Model + ROI Calculator
Week-8: GTM & AI Moats + Opportunity Mapping
AI PM
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Session 15 - GTM, AI Moats & Scaling AI Products & Feasibility Impact Analysis
Go-to-Market Strategy · AI Adoption · Change Management · AI Pricing Strategy · SWOT · TAM/SAM/SOM · AI Flywheel · AI Moats · AI Roadmaps
Output: GTM Canvas + AI Roadmap Template
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Session 16 - AI Opportunity Mapping
The Miro Process Board · 33A AI Cards · Workflow Mapping for AI Use Cases · Guardrails & Human-in-the-Loop placement
Output: Opportunity Map + Guardrail Placement
Week-9: Career Readiness + Personal Branding
Career
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Session 17 - AI PM Career Readiness & Mock Interviews
Resume Review · LinkedIn Optimization · Portfolio/GitHub Review · Mock Interview Process · Live Mock Interviews · Interview Feedback & Best Practices · AI Product Operating Rhythm
Output: ATS Resume + LinkedIn Checklist + Live Mock Interview + Feedback Report
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Session 18 - LinkedIn Personal Branding Workshop
How to build your personal brand on LinkedIn · LinkedIn Profile Optimization
Output: Personal Brand Plan
The AIPM Promise
Build & Ship Production AI in 9 Weeks.
Not theory. A working cohort where you build real AI products.
| What you get | Self-study | Other live bootcamps | Our live cohort |
|---|---|---|---|
| Live, mentor-led sessions | |||
| Real AI work you ship | Rarely | Sometimes | A real client project |
| The current 2026 AI product stack | On your own | Often dated | |
| Job assistance | |||
| Investment | Your time | ₹2,00,000+ | US$840 |
May we help you?
Frequently Asked
Questions
Q.1
How is this live bootcamp different from other bootcamps?
Q.2
When does this begin and when are the live sessions held?
Sessions are held on Saturdays and Sundays, 5 PM to 8 PM IST. Three hours per session, two sessions per week.
Q.3
What happens after 9 weeks?
Q.4
What if I miss a live session?
Q.5
What is the Soft Skills Bootcamp and how do I access it?
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?
Q.2
Do I need coding experience?
Q.1
Do you offer job placement?
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?
Q.1
What is the refund policy?
Q.1
When do registrations close?
Q.2
Can I join after the sessions are started?
Q.1
Do I need to pay for the no-code tools used in the capstone - Lovable, v0, Bolt.new, n8n?
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 live bootcamp different from other bootcamps?
Q.2
When does this begin and when are the live sessions held?
Sessions are held on Saturdays and Sundays, 5 PM to 8 PM IST. Three hours per session, two sessions per week.
Q.3
What happens after 9 weeks?
Q.4
What if I miss a live session?
Q.5
What is the Soft Skills Bootcamp and how do I access it?
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?
Q.2
Do I need coding experience?
Q.1
Do you offer job placement?
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?
Q.1
What is the refund policy?
Q.1
When do registrations close?
Q.2
Can I join after the sessions are started?
Q.1
Do I need to pay for the no-code tools used in the capstone - Lovable, v0, Bolt.new, n8n?
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.
Become an AI-native PM in 9 weeks.