AI Product Designer Learning Stack and Roadmap
01 — UX Fundamentals
→ Nielsen Norman Group Norman Group: https://lnkd.in/gvq5zNjq
→ IxDF – Interaction Design Foundation Design Foundation: https://lnkd.in/gbWU_uXC
02 — Product Thinking
→ Product School: https://lnkd.in/gQ_QT-Yy
→ SVPG Articles: https://lnkd.in/gR-jPpsx
03 — SaaS UX & Product Patterns
→ Mobbin: https://mobbin.com/
→ Page Flows: https://pageflows.com/
→ SaaSFrame: https://www.saasframe.io/
04 — Design Systems
→ Material Design: https://m3.material.io/
→ Atlassian Design System: https://atlassian.design/
→ Figma Learn: https://help.figma.com/
05 — AI Fundamentals
→ Google AI Essentials: https://lnkd.in/gAfu_tka
→ Google Machine Learning: https://lnkd.in/gnRQ8qGF
06 — AI UX / Human-AI Interaction
→ Google PAIR Guidebook: https://lnkd.in/g9EE2w6d
→ Microsoft HAX Toolkit: https://lnkd.in/gDfuJm5p
07 — Generative AI & LLM UX
→ OpenAI Documentation: https://lnkd.in/gKRyDu5T
→ Anthropic — Building Effective Agents: https://lnkd.in/gbF-ADmD
08 — Accessibility
→ @WCAG: https://lnkd.in/gypd3Zk6
→ Material Accessibility: https://lnkd.in/g74dHzu8
The roadmap I’m following:
UX → Product Thinking → SaaS UX → Design Systems → AI Fundamentals → AI UX → Agentic UX → Build → Test → Iterate
But learning resources alone aren’t enough.
20% Learning + 60% Building + 20% Testing & Documenting.
The goal isn’t to design interfaces that simply look AI-powered.
The goal is to design AI products that are useful, understandable, trustworthy and controllable.
