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Connect with Xinran on LinkedIn
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Product teams are shipping AI features at pace. Designers are expected to deliver intuitive experiences users trust and that drive business goals—but most design training optimized for deterministic interfaces, not probabilistic systems.
The gap shows up in three ways: mindset (adopting new processes, approaches, and tools), systems thinking (understanding how AI behavior, data, and interface work together as a system), and probabilistic frameworks (translating existing skills into interfaces that work for evolving user mental models).
MXDAI is a career accelerator that addresses these gaps directly. Through project-based learning, 1-1 coaching, and proven frameworks, you'll develop capabilities that translate immediately to your work—whether you're designing conversational flows or agentic systems.
For individuals: Build portfolio-ready skills through hands-on prototyping and a capstone project.
For teams: Customize cohorts to your products and address fragmented workflows, trust gaps, and cross-functional silos. Teams develop shared language and frameworks that standardize practices.
150+ students graduated since March 2025 with 5-star ratings.
[Revised with fresh content for 2026]
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Jan helps teams ship elegant solutions that hold up in the real world, not just in Figma. His style is pragmatic and trust-driven: align on the business goal, sweat the details that matter, and deliver measurable value through steady, compounding improvements. He's pragmatic and detail-driven, and brings deep expertise in design systems, tokens, and the practical side of getting branded, production-quality components into code.
Designers who code used to be called unicorns.
The first AI-generated demo feels magical. The next step is learning how to turn that magic into prototypes grounded in your design system, real data, custom interactions, deployment, and a codebase your team can understand.This course teaches senior product designers how to use AI as a real prototyping partner, from visual exploration to deployed web apps. You’ll start with fast generation, then move into agentic coding with Claude Code, Figma MCP, Supabase, GitHub, and Vercel.
By the end, you will have shipped working prototypes that look like your product, use real data, support richer interactions, and can become portfolio pieces, stakeholder demos, or starting points for engineering collaboration.
You’ll leave with:
A deployed web app built from your own product idea
A branded UI system connected to real code
Working data, APIs, and non-trivial product logic
A practical workflow for Claude Design, Claude Code, Figma MCP, Supabase, GitHub, and Vercel
The technical vocabulary to collaborate better with engineers
Better judgment about when to use quick AI tools and when to take ownership in a real codebase
Senior and lead Product, UX, and Interaction Designers, looking to future-proof their workflow and increase scope, deliverables, and impact
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Vitaly is the founder, editor-in-chief and UX lead of Smashing Magazine since 2006, an online magazine for designers and developers, where he helps curate friendly, inclusive front-end & UX conferences (SmashingConfs).
He is working with companies worldwide to improve the UX of complex systems and intricate design challenges — but also measure UX and design impact, design effective AI experiences and improve internal workflows.
Through his articles, books, talks, trainings and video courses he has taught 45,000 designers around the world practical insights to design digital products that people actually use, value and perhaps even fall in love with.
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Spent last few years publishing practical UX insights on LinkedIn almost daily
Worked in many industries — public services, energy, hospitality, retail, media, publishing, museums, workflow automation, insurance, banking, B2B software, enterprise software
Released practical video courses on \"How To Measure UX and Design Impact\", \"Smart Interface Design Patterns\" and \"Design Patterns For AI\"
Presented at 500 conferences around the world, mostly in Europe but also in US, Canada and South-East Asia
Spoke at universities and schools including Amsterdam University of Applied Sciences (Netherlands), Erhvervsakademiet Lillebælt (Odense, Denmark)
❌ 30% off – \"ICECREAM\" (expired Apr 27)
❌ 20% off – \"MUFFIN\" (expired May 7)
❌ 10% off – \"SOUP\" (expired May 15)
AI features are painfully verbose and unreliable. AI responses are too generic, insights are untrustworthy, hallucinations are hard to spot — and users have to ping-pong between prompts, over and over again. Well, let's fix that!
In this course, you’ll learn:
State of AI 2026, from limitations to capabilities
Design patterns for AI products
Context engineering and how to design for it
Agentic AI, and how to design guardrails
How to design for trust and confidence for AI
How to prioritize impactful AI features
Launching AI features, where teams fail/succeed
AI-friendly design systems, and how to set them up
100s of real-life examples and UX guidelines
No fluff, no theory — just what actually works in real products. Practical live sessions and guidelines that you can apply on day 1.
🪴 Real case studies from real products
🔬 All video recordings, slides, resources, templates
🎯 Hands-on tasks and actionable insights
👋 Live interactive sessions and feedback
👫 Dedicated time to answer all your questions
🏅 Well-deserved certificate for your hard work
Product designers who want to understand the constraints of AI and how to design effective AI experiences that people trust and use.
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