Live Cohort 2 · Starts 15th Aug
Transition into an AI Product Manager Role
Build the skills. Work with real clients. Ship a real AI product.
A live AI Product Management cohort by Codebasics, in association with AtliQ Technologies, that takes you from managing products to leading AI products through hands-on interaction with real clients, stakeholders, AI engineers, and data scientists.
Inner Circle
US$630
→
US$840 after 11th Aug
Proof, before the pitch
Product managers who actually shipped with us.
Real reviews from Cohort 1.
Karthikeyan Natarajan
Program Manager
"An excellent AI Product Manager program with practical, industry-relevant content. The hands-on assignments, real-world case studies, and structured learning approach significantly improved my understanding of AI product management. Highly recommended for professionals looking to transition into AI."
Sandeep Reddy
AI-native Product Manager
"Appreciate the way this cohort is balanced to make it inclusive, ensuring everyone is successful with a goal-oriented outcome. Thank you for the patience and no-rush approach."
Naveen Padiyar
Project Manager
"I am pleased to have joined the AI Project Manager Course. The curriculum is thoughtfully organized, and the platform provides a professional learning experience. I'm confident this program will help strengthen my understanding of AI project management methodologies and industry best practices."
1.5M+ YouTube Subscribers
5 ★ 7000+ reviews
718K+ Learners
By Dhaval Patel, Hemanand & Team
Learn from people who ship
Learn from people who ship AI products.
Dhaval Patel
Founder, Codebasics · Ex-NVIDIA
1.5M+ YouTube subscribers · 95K+ learners · 17+ years of experience in AI & data. Teaches the core Build modules: LLM fundamentals, RAG, multi-agent systems, AI system design, and the capstone project.
Karandeep Grover
CEO @ AtliQ | Fractional CAIO & AI Strategist for Startups and SMEs
Fractional CAIO & AI Strategist for Startups and SMEs. Advised 55+ Startups & Enterprises for AI, Tech & Product. Mentoring AI Engineers and AI Product Managers for building the problem first mindset.
Akshay Seth
AVP, Product Management (AI & SaaS) PayMe 11+ years of experience in Fintech & Product.
Shipped 15+ AI & SaaS products from concept to production, impacting millions of users. Mentoring AI Product Managers globally on building scalable, production-ready AI products that deliver measurable business value.
The stack
The tools AI product managers actually use.
Claude
LLM & PRD drafting
ChatGPT
LLM
Miro
Opportunity mapping
Microsoft Excel
Analysis & modelling
VS Code
Build environment
LangChain
LLM app framework
Mixpanel
Product analytics
Lovable
AI app builder
Vercel
App deployment
Groq
Fast LLM inference
HAX Toolkit
AI UX guidelines
Week by week
9 weeks. 18 live sessions. One AI product you ship.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Session 18 - LinkedIn Personal Branding Workshop
How to build your personal brand on LinkedIn · LinkedIn Profile Optimization
Output: Personal Brand Plan
Nine activities. One capstone AI product, defended on Demo Day.
Theory is useless without execution. You'll discover real AI opportunities, write production-grade PRDs, and ship a working AI solution.
AI Landscape & Role Analysis
Prompting & Context Engineering
Production AI PRD
Eval & Guardrail Framework
RAG Chatbot (Vibe Coded)
Agent Automation Build
Cost Estimation Model
AI Opportunity Map
AI System Design & Data Strategy
The Capstone Project
The Codebasics promise
Premium AI training, without the premium price.
Other paths can work. Here is exactly what you get from each.
| 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$630 |
Investment
The earlier you join, the less you pay.
Inner Circle learners enroll at a lower price until 11th Aug. Standard pricing applies later. Cohort begins on 15th Aug.
Save US$210 · until 11th Aug
US$630 → US$840
One-time payment · EMI available · Standard price after 11th Aug
What's included
- 65 days live cohort, 18 live sessions
- A real client capstone project you ship
- Job assistance & interview prep
- 1 year access to all session recordings
- Bonus Soft Skills Bootcamp included
- Certificate of Completion
EMI available
Pay in monthly instalments instead of one payment. Choose your EMI plan at checkout, no extra paperwork.
Secure checkout · UPI, cards, net banking · Razorpay · No-questions refund policy
The same curriculum, 18 live sessions, capstone, and faculty for everyone.
Everything you'd reasonably want to know
Questions?
Is this designed for fresh graduates?
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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.
Do I need coding experience?
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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.
Do you offer job placement?
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We don't promise jobs. We promise a portfolio piece, a personal-brand rebuild, alumni network access. Outcomes follow effort.
What is the refund policy?
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If you register and it's not what you expected, you have until 17th August, 2026 to request a 100% refund, no questions asked.
How is this live bootcamp different from other bootcamps?
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This is a 9-week live cohort with mentor reviews, a practical capstone you defend on Demo Day, and direct access to operating leaders shipping AI products at AtliQ and Codebasics. The approach is completely hands on focused to provide a definitive competitive edge to all project managers and product managers.
When does this begin and when are the live sessions held?
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It begins on 15th August, 2026.
Sessions are held on Saturdays and Sundays, 5 PM to 8 PM IST. Three hours per session, two sessions per week.
What happens after 9 weeks?
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You keep 1 year access to all recordings. You join the alumni network.
What if I miss a live session?
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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.
When do registrations close?
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Registrations close on 14th August, 2026. After that, no new enrollments for the Cohort.
Can I join after the sessions are started?
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No. Registrations are open until 14th August, 2026.
What is the Soft Skills Bootcamp and how do I access it?
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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.
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?
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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.
Do I need to pay for the no-code tools used in the capstone - Lovable, v0, Bolt.new, n8n?
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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.
US$630
→
US$840 after 11th Aug
Enroll now →
