Discover, build and launch AI-powered products in 6 months - no coding needed. Real tools, real AI prototypes, industry-aligned curriculum.

Industry-Aligned
Personalized Path to Employment
Unlimited 1:1 Doubt Clearing
Personal PM mentorship
Industry-Recognised Certificate
Backed by a 12-artifact portfolio
Live Weekend Classes
Learn from product leaders
Our AI Product Management program pairs live mentorship from product leaders with hands-on AI tools, so you learn by doing the job.
Feedback on every artifact
Weekend classes
Self-paced learning
Proof of real PM work
Build under real deadlines
Sharpen product sense
Pre-course GenAI primer
100+ prompts & templates
Learn from practising PMs
With product leaders
Product sense to AI cases
End-to-end assistance
We never stop helping
12,000+ strong community
Industry-recognised
Built for working pros
Always here for you
Interactive & modern
Pitch to an industry panel
Connect with peers
Built for people who want to lead products, not just learn about them.
Coming from engineering, design, marketing, ops or consulting? We turn the skills you already have into a product career.
Skip years of guessing. Learn the frameworks, tools and AI fluency hiring managers expect from APMs. No coding required.
Already in product? Move into AI product management - LLMs, RAG, agents and evals - without pausing your career.
Build the right thing, faster. Validate ideas, prototype with AI and make product calls backed by data.
Most PM courses teach frameworks. We teach you to ship AI products - and prove it in interviews.
AI is your co-pilot from week one - for research, PRDs, analysis and prototyping - plus a dedicated 4-week block on building AI products.
Vibe-code a working app, ship a RAG assistant and measure it with evals. You leave with proof, not just notes.
Learn from practising PMs and AI product leaders - with analytics from data experts and tech topics from engineers.
12 artifacts that mirror the real job - from a research deck and PRD to a metrics dashboard and AI capstone.
Mock interviews with hiring managers across product sense, RCA, guesstimates, metrics and AI case rounds.
Limited batch sizes so every artifact you submit gets detailed 1:1 feedback from a mentor.
9 modules, 24 weeks and 12 portfolio artifacts - designed with product leaders to mirror the real job.
Hands-on projects across 20+ industries - from RAG copilots and AI agents to pricing, growth and research. Your best 12 become a portfolio hiring managers can open.
Ground a support assistant in policy docs and prove 90%+ answer accuracy with evals
Replace keyword search with conversational discovery and measure the conversion lift
Design a Hindi & Tamil voice copilot that helps first-time UPI users pay safely
Spec an AI agent that plans, books and rebooks multi-city trips end to end
Model inference costs and design pricing tiers that protect gross margin
Diagnose why orders get cancelled after checkout and ship a roadmap to win them back
Find the biggest leak in a loan onboarding funnel and redesign the flow
Design a safe AI triage flow with human-in-the-loop escalation to doctors
Prototype an AI doubt-solver and define metrics that prove learning, not just usage
Spec an agent that drafts follow-ups and updates deals - with a clear eval plan
Find why subscribers cancel in month two and prioritise the fixes
Cut claim filing time with an AI agent that knows when to hand over to a human
Prototype AI editing tools creators will pay for - and plan the launch
Balance engagement with trust using the right guardrail metrics
Cut size-related returns with personalised fit guidance on the product page
Help restaurant partners write menus and set prices with AI to grow revenue
Help users understand and act on fraud alerts without calling support
Roll out a company-wide AI assistant that respects who can see what
Define bias checks and compliance guardrails before a single model ships
Design an AI advisor that works on low-end phones and patchy networks
Help small sellers list their first 10 products in under an hour
Turn listings, reviews and locality data into summaries buyers trust
Position, package and price an AI add-on for a small-business suite
Design a loop that lifts week-4 completion without discount-driven hacks
Find why new drivers churn in month one and redesign their first week
Remove friction from booking to prescription with tested flows
Decide what 'good' looks like for AI code reviews - and what users will pay
Use Kano and MaxDiff research to rebuild a loyalty program members value
Build the metric tree that shows whether AI support is really helping
Validate a shoppable-video feature with an MVT before a full build
Spec an assistant that recommends nightly rates with explainable reasons
Diagnose early drop-off and run the experiments that lift day-7 retention
Ground a support assistant in policy docs and prove 90%+ answer accuracy with evals
Replace keyword search with conversational discovery and measure the conversion lift
Design a Hindi & Tamil voice copilot that helps first-time UPI users pay safely
Spec an AI agent that plans, books and rebooks multi-city trips end to end
Model inference costs and design pricing tiers that protect gross margin
Diagnose why orders get cancelled after checkout and ship a roadmap to win them back
Find the biggest leak in a loan onboarding funnel and redesign the flow
Design a safe AI triage flow with human-in-the-loop escalation to doctors
Prototype an AI doubt-solver and define metrics that prove learning, not just usage
Spec an agent that drafts follow-ups and updates deals - with a clear eval plan
Find why subscribers cancel in month two and prioritise the fixes
Cut claim filing time with an AI agent that knows when to hand over to a human
Prototype AI editing tools creators will pay for - and plan the launch
Balance engagement with trust using the right guardrail metrics
Cut size-related returns with personalised fit guidance on the product page
Help restaurant partners write menus and set prices with AI to grow revenue
Help users understand and act on fraud alerts without calling support
Roll out a company-wide AI assistant that respects who can see what
Define bias checks and compliance guardrails before a single model ships
Design an AI advisor that works on low-end phones and patchy networks
Help small sellers list their first 10 products in under an hour
Turn listings, reviews and locality data into summaries buyers trust
Position, package and price an AI add-on for a small-business suite
Design a loop that lifts week-4 completion without discount-driven hacks
Find why new drivers churn in month one and redesign their first week
Remove friction from booking to prescription with tested flows
Decide what 'good' looks like for AI code reviews - and what users will pay
Use Kano and MaxDiff research to rebuild a loyalty program members value
Build the metric tree that shows whether AI support is really helping
Validate a shoppable-video feature with an MVT before a full build
Spec an assistant that recommends nightly rates with explainable reasons
Diagnose early drop-off and run the experiments that lift day-7 retention
Weekly Active Users
1.24M
+8.4%Activation Rate
42.6%
+3.1%D30 Retention
27.8%
+1.9%AI Answer Accuracy
91.4%
+4.2%Weekly Active Users
Last 12 weeksFeature Adoption
Engineers, designers, analysts, marketers and fresh graduates who made the move into product.
I'd shipped features for three years without ever owning the 'why'. The discovery and PRD modules changed how I think, and my RAG support copilot with its eval scorecard came up in every interview round.
Software EngineerAssociate PM
Design gave me empathy, but not metrics or prioritisation. SQL for PMs and the experimentation module filled that gap - walking in with a metrics dashboard and an A/B readout made all the difference.
UX DesignerProduct Manager
I used to write requirements for PMs - now I write the PRDs. The mock interviews on product sense and RCA were brutal in the best way. By the fifth one I had a structure for any question.
Business AnalystProduct Manager
Growth loops, cohort analysis and pricing experiments - the go-to-market module felt written for me. I now own activation for a product used by lakhs of learners.
Marketing ExecutiveGrowth PM
I knew agile inside out, but our AI projects kept stalling. Learning evals, cost per query and when to use RAG over fine-tuning gave me the vocabulary to lead AI teams - not just run their sprints.
Product OwnerAI Product Manager
No coding, no PM internship - just curiosity. My 12 artifacts became my portfolio site, and the reorder prototype I vibe-coded led to a take-home assignment I actually enjoyed doing.
Fresh GraduateAssociate PM
Consulting taught me frameworks; this taught me to ship. Designing a triage assistant with human-in-the-loop guardrails showed me what responsible AI product work really looks like.
Management ConsultantProduct Manager
I knew our drivers' problems better than anyone but couldn't turn them into a roadmap. Now I run discovery, prioritise with RICE and defend every trade-off with data.
Operations LeadProduct Manager
Tech 101 came easily - the stakeholder and executive communication sessions were the real unlock. My mentor reviewed every PRD I wrote line by line until it was interview-ready.
QA EngineerTechnical PM
I could pull any number but didn't know which ones mattered. North Star metrics and metric trees reframed my job - I've gone from reporting on the roadmap to shaping it.
Data AnalystProduct Analyst
I'd shipped features for three years without ever owning the 'why'. The discovery and PRD modules changed how I think, and my RAG support copilot with its eval scorecard came up in every interview round.
Software EngineerAssociate PM
Design gave me empathy, but not metrics or prioritisation. SQL for PMs and the experimentation module filled that gap - walking in with a metrics dashboard and an A/B readout made all the difference.
UX DesignerProduct Manager
I used to write requirements for PMs - now I write the PRDs. The mock interviews on product sense and RCA were brutal in the best way. By the fifth one I had a structure for any question.
Business AnalystProduct Manager
Growth loops, cohort analysis and pricing experiments - the go-to-market module felt written for me. I now own activation for a product used by lakhs of learners.
Marketing ExecutiveGrowth PM
I knew agile inside out, but our AI projects kept stalling. Learning evals, cost per query and when to use RAG over fine-tuning gave me the vocabulary to lead AI teams - not just run their sprints.
Product OwnerAI Product Manager
No coding, no PM internship - just curiosity. My 12 artifacts became my portfolio site, and the reorder prototype I vibe-coded led to a take-home assignment I actually enjoyed doing.
Fresh GraduateAssociate PM
Consulting taught me frameworks; this taught me to ship. Designing a triage assistant with human-in-the-loop guardrails showed me what responsible AI product work really looks like.
Management ConsultantProduct Manager
I knew our drivers' problems better than anyone but couldn't turn them into a roadmap. Now I run discovery, prioritise with RICE and defend every trade-off with data.
Operations LeadProduct Manager
Tech 101 came easily - the stakeholder and executive communication sessions were the real unlock. My mentor reviewed every PRD I wrote line by line until it was interview-ready.
QA EngineerTechnical PM
I could pull any number but didn't know which ones mattered. North Star metrics and metric trees reframed my job - I've gone from reporting on the roadmap to shaping it.
Data AnalystProduct Analyst
A proven 4-step path from your first PM artifact to your first PM offer
Stand out with a PM resume, an optimised LinkedIn and a portfolio site built around your 12 artifacts.
Ace product sense, RCA, guesstimate and AI case rounds with 1:1 mock interviews and feedback.
Apply to 400+ hiring partners and clear take-home assignments and case rounds with confidence.
Land an APM, PM or AI PM offer at a product company, startup or GCC.
Industry veterans from top companies who don't just teach theory - they share real-world playbooks from the trenches.

Senior Finance BI Developer

Data Scientist

Associate Data Scientist

Data Analyst

Senior Data Scientist

AI Engineer

Senior Finance BI Developer

Data Scientist

Associate Data Scientist

Data Analyst

Senior Data Scientist

AI Engineer
Every module ends in something a recruiter can open. You finish with a industry-recognised certification and a portfolio built on real business problems - verified, shareable, and recognised by the people doing the hiring.


Join 12,000+ learners who trained with Linkway and walked out with an industry-recognised certification, a portfolio of real projects, and credentials hiring teams take seriously.
Online · Live · Hybrid
Practitioner mentors, weekly
Industry-recognised
Personalised path to employment
All-inclusive program fee. No hidden charges.
Inclusive of all taxes & learning resources
Scholarships and group discounts available · Speak to our admissions team to know more
