⏳
3 days x 2.5 hours
10:00 or 15:30 CET
🧭
Live online
interactive teaching
Trainer
Vitaly Friedman
Founder of SmashingMag • author • UX consultant
As product teams rush in launching AI features, they quickly face a roadblock. Too often AI tools have very low adoption and retention, they are painfully slow and unreliable, responses are walls of text and users have to ping-pong between prompts, over and over again.
In this workshop, you'll learn design patterns for better AI experiences, with daemons, clustering, style lenses, structured presets and templates, dynamic editing, temperature knobs and everything in-between.
This training isn’t about how to use Midjourney, Chat-GPT etc., but rather how to create better AI products and experiences.
💬
Interactive format
with hands-on exercises
🏅
LinkedIn certification
to document your expertise
🎁
Take-home artefacts
incl. examples & checklists
Tickets and dates 🎟️
May 2026 cohort 🟢
Mon 18 to Wed 20 May 2026
3 lessons • Daily at 15:30 – 18:00 CET
This cohort is part of:
Future dates & locations
Join the waitlist and get notified when the training becomes available for you.
What you'll learn
Learn what actually works in real products. Expect a practical journey with actionable design guidelines, from efficient prompting UX to effective output and refinement journeys, along with frequent UX and accessibility blockers.
100s of real-life examples and UX guidelines
Practical design patterns for AI products
Recent UX research on AI UX and accessibility
How to build trust and confidence for AI
How to capture and design for user's intent
How companies design AI features, where they fail and succeed
State of AI UX in 2026
New UX research on how people discover and use AI features, and why many AI features have poor adoption and poor retention rates
How people work with and around AI features, with main slowdowns, blockers, usability and (often overlooked) severe accessibility issues
High interaction cost of prompt engineering, context awareness, capability awareness and AI discoverability
Design Patterns for AI Products
Quiet AI vs. Visible AI, prompt strength indicator, daemons, modifiers, task builder, forced ranking, style lenses, precision knobs
Design patterns for building trust, navigating AI output, proactive AI, presets, pre-prompts, capability awareness, context engineering
Interaction design patterns, accessibility issues, how to capture and design for user's intent, with case studies and examples
Boosting AI UX in Complex Products
Where AI typically lives and how to help people provide better input, make sense of AI output and refine it to match user's needs well
How to support decision-making and complex workflows — with guardrails, permissions, approval flows and human in the loop
Why linear customer journeys often don't map well with AI features, and how we need to change our process to design AI loops instead
Designing for Trust and Confidence
Design strategies that build confidence and clarity around AI behaviors and decisions
How transparency, better reasoning traces, consensus meters and transparency increase retention of AI features
How to signal and label AI-generated content, and make it work with human-written, curated content
Real-Life Case Studies
How to design AI features and experiences from scratch — with AI Design Canvas, from data collection to gathering feedback
How companies design and implement AI features in their products, where they fail and succeed
Why linear customer journeys often don't map well with AI features, and how we need to change our process to design AI loops instead
AI Design Workflow, From Start to Finish
How to bring AI into the product, from data collection and data cleansing to designing AI loops and user flows
Agentic UX — how to support decision-making and complex workflows — with guardrails, permissions, approvals and human in the loop
How teams measure the quality of AI UX and how valuable and reliable AI features actually are for end users
Live lessons
Learn in an interactive group setting with the chance to ask questions.
Optional exercises
Ideally block 1 hour each day to exercise at your own pace with optional practical assignments.
You’ll walk away with a toolbox of techniques and examples of doing things well — to apply right away to your product, website, desktop or mobile app.
This training isn’t about how to use AI tools to design, but about how to apply AI specific design patterns and a tailored process to help your users make the most out of your AI systems.
Who is this workshop for?
UX, Ul & Product designers and leaders aiming to craft unique, useful and efficient Al interfaces
Product managers looking for AI specific patterns and product use cases which add value and can be implemented right now
Front-end developers focused on enabling user interactions with Al solutions
Joining the Lessons
Teaching takes place online in live interactive sessions.
You'll receive a calendar invite and link for each lesson before the course starts.
Each session is recorded if you miss it or want to revisit details later.
Meet your trainer
Vitaly Friedman is a renowned UX consultant and the creative lead of Smashing Magazine, with more than two decades of experience in leading design.
He has expertise in establishing design KPIs, tracking progress, and using data to guide design decisions.
Vitaly is also the author, co-author, and editor of Smashing Books, and has given well received talks and workshops with PUSH.
This training is part of:
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