As product teams launch AI features in products, they too often rely on good old-fashioned chatbots. However, these AI experiences are often painfully slow, the responses are generic and users have to meticulously explain to AI just what exactly they need — over and over and over again. We can do better.
In this course, we’ll explore design patterns for effective AI features and what designers need to know about AI to design effective AI experiences. We'll explore AI limitations and constraints, frequent usability and accessibility issues, how to deal with voice UIs — and how to orchestrate AI UX with guardrails and permissions.
You’ll leave the course with a toolbox of practical techniques and examples to apply to your projects right away — and the design process to design AI features that people understand, trust, value and use.
Interactive workshop includes:🪴 100s of practical real-life examples
🔬 Recent UX research on AI usability and accessibility
🎯 Practical, hands-on projects to apply your learnings
👋 Live interactive sessions and live feedback
👫 Detailed answers to all your questions
🧰 Toolbox of practical patterns and examples
🏅 Well-deserved certificate for your hard work
How to design useful AI features that people understand, use and trust — with 100s of real-life examples and practical UX guidelines.
Hands-on assignments, live with people around the world — with UX challenges from real-world projects.
How people use AI interfaces, main slowdowns, blockers, usability and accessibility issues.
Get under the hood of how AI works and learn how design choices can shape (or derail) AI output.
Why chatbots don't work well, why chatbot UIs can be more frustrating than helpful — and what we can use instead.
Everything you must know about AI to design feasible and viable AI features that people understand, trust, value and use
High interaction cost of prompt engineering, context awareness, capability awareness and AI discoverability
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.
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
How to design AI features and experiences from scratch — with AI Design Canvas, ranging 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.
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

Senior UX Lead with European Parliament, founder of SmashingMag.


Product designers who want to understand the constraints of AI and how to design effective AI experiences that people trust and use.
UX Leads who want to learn how to design feasible and effective AI features that don't frustrate people but help them get their work done.
Interface designers who want to boost their AI design skills and understand what makes a truly incredible AI experience.

Live sessions
Learn directly from Vitaly Friedman in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
11 live sessions • 36 lessons
Jan
22
Jan
27
Jan
29
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The current state of AI interfaces, common challenges, and user expectations.
Master techniques to shape AI output and help users articulate their goals through prompt engineering and templates.
Discover how to embed AI into your product smoothly.
See what works (and what doesn’t) by exploring real-world examples of AI interfaces.
Live sessions
6 hrs / week
Includes ideation, strategic planning, designing and studying.
Thu, Jan 22
6:00 PM—7:00 PM (UTC)
Tue, Jan 27
6:00 PM—8:00 PM (UTC)
Thu, Jan 29
6:00 PM—7:00 PM (UTC)
AI Projects
4-6 hrs / week
Live sessions with collaborative and individual work on projects
Video lessons
4-6 hrs / week
Watching quality video recordings with examples, design patterns, incl. manually written English subtitles

Anna E. Cook

Ben Callahan

Alma Hoffmann

Sara Soueidan
Save 25% until Monday
$995
USD