Web Adventures

Design Patterns For AI Interfaces

Vitaly Friedman

Design Patterns For AI Expert. Founder of SmashingMag, 
Speaker & UX Trainer.

The current state of AI interfaces, common challenges, and user expectations.

Understanding AI Interfaces in 2025

Master techniques to shape AI output and help users articulate their goals through prompt engineering and templates.

Guide AI Behavior and User Intent

Discover how to embed AI into your product smoothly.

Integrate AI Seamlessly into Products

See what works (and what doesn’t) by exploring real-world examples of AI interfaces.

Learn from Real AI Interfaces

Why Should You Take This Course?If you’re a designer OR product builder aiming to break into the AI industry or if your team is starting to build AI products and you feel unprepared, this course is for you. By the end, you’ll feel confident and ready to transition into an AI role, armed with the knowledge and skills to thrive. Previous students reported having significant improvement in both AI Design knowledge, confidence and motivation to drive product building in this space since taking the course. Why Should You Learn from Me?With a decade of experience in building AI and AR/VR products, with over 5 years focused on AI-first products, I bring practical insights and skills you won’t find elsewhere. My experience includes leading world-class AI design teams and developing cutting-edge AI products. Course OverviewDesigned for busy professionals:•	Total 5 weeks, 4-5 hours per week commitment•	Recorded Sessions: Available anytime•	Discussion Boards: Participate asynchronously•	Support: Dedicated support and 1:1 guidance•	Resources: Ongoing AI learning materials•	Live Q&amp;As and Discussions: Hands-on learning --- What You’ll Learn in 5 Weeks: • Week 1: AI Fundamentals: Start strong with a designer-friendly introduction to how AI works, the latest tools, and the mental models you need to confidently design with AI. • Week 2: AI Design Patterns (Part 1). Explore the most common AI interaction patterns across today’s products. Learn what works, what doesn’t, and how to spot opportunities for better design. • Week 3: AI Design Patterns (Part 2) + System Prompting. Go deeper into emerging patterns and net-new thinking. You’ll also learn to prototype with no-code tools and master prompt design as a creative medium. • Week 4: Vibe Coding + Prototyping. Bring your ideas to life. This week is all about turning your concept into a working AI-powered experience, using tools like Lovable and other AI builders. • Week 5: Crafting Your AI Career and Storytelling. Learn how to stand out in this new wave of AI products—whether you want to land a new role, launch a product, or future-proof your skills as a designer. • Throughout the Course: Build a Real AI Product. Each week builds toward a project you’ll actually want to keep working on. Past students have turned theirs into prototypes, job interviews, and even startups. • If you struggle with accountability and want a clear structure to finally build something exciting in AI, this course was made for you. --- What the course does NOT cover: My goal is to teach you everything I know within 4 weeks about designing good ai products. By the end of this course, you will be more equipped to build great products compared to existing designers in this space. However there are 2 things this course will not be able to cover due to the limited time: • Advanced prototyping (instead we will cover no-code tools that will help you get a proof of concept running)﻿• Portfolio ready project (You might be able to get decent start through this course, that you can feature on your portfolio after investing more time beyond the course)

Build AI-Powered Products with Confidence

Course syllabus

Do this at your own time:<ul><li>Read/Watch course content</li><li>Put learnings into practice through short hands-on projects</li></ul>

Self-Paced

Wednesdays

<ul><li>Content Overview</li><li>Discussions</li><li>Brainstorms</li><li>Q&amp;A</li></ul> NOTE: If you're unable to make it to above sessions, you can watch videos and engage with content at your own pace at a later time.

Saturdays

Course schedule

Product Designers looking to join AI companies or recently switched but concerned about their skill gap

Managers, PMs, Engineers and other Leaders new to AI teams, looking to expand their expertise to build AI-powered products and confidently

Other technical professionals interested in learning how to build AI powered products.

Who is this course for

What you’ll get out of this course

<ul><li>Understand types of AI models and how to leverage them for your design project</li><li>Key AI terminologies (NLP, CV, GANs, etc) you'll need to know as you design</li><li>Emerging product types and potentials</li><li>Limitations and future potential of AI products</li><li>AI Design Principles and more.</li></ul>

Mastery of AI Fundamentals

<ul><li>Understand End-to-end design process for AI products and how it differs from traditional design</li><li>Current design challenges and opportunities with AI products</li><li>Case studies and critique existing AI product interfaces</li></ul>

Expertise in AI Design Patterns

Design an E2E concept (FIGMA for designers, or AI tools for non-designers)Build a rough MVP for that concept with no-code tools

Design & build your concept

<ul><li>What do Design Managers look for in Product Designers looking to join AI teams</li><li>What to expert when joining / starting an AI Design team</li><li>Tips for interviewing with AI-design teams</li><li>Transforming your strengths to enter the AI field</li><li>Learn directly from industry guests</li></ul>

Prepare for a Career in AI Design
 

•	Mini-Projects/Brainstorms: 4 outputs to practice course content•	Discussion Sessions / Q&amp;As: 5 live interactions for in-depth discussions•	Case Studies: Critique existing experiences together

Practice your AI skills

<ul><li>Feeling stuck? Have additional questions? I'll be available throughout the course to help you get the most out of this course.</li></ul>

Get 1:1 Support and Guidance from Maheen

<ul><li>Build a network of peers in the AI design field and stay inspired with key resources, influencers, and companies to follow.</li></ul>

Join a Community of AI Designers and Stay Inspired

Learn how to design AI-powered products and experiences to set yourself up for a successful career in AI.

Maheen Sohail

Cohort 5

Cohort 6

81% of executives believe that AI will be the most significant future advantage. Learning AI isn't just a choice; it is a critical strategy to stay ahead and gain a competitive edge in your career, sooner rather than later. This intensive course is specifically crafted for product designers and packed with practical frameworks and tactics. It features hands-on exercises and personal feedback, providing you with the experience needed to master AI throughout the design process. ✅ From Concept to Creation with AILearn how to apply AI throughout the design process, from early ideas to wireframes to AI-powered prototyping. The tactics will transform how you approach design challenges and design faster and smarter. ✅ Real-World Applications and Case StudiesDelve into detailed case studies showcasing all kinds of AI integrations in product design. These examples will provide insights into the latest trends of AI and how product designers can learn and adapt. ✅ Practical, Hands-On Workshops Engage in targeted workshops that equip you to use AI effectively across diverse scenarios. The hands-on exercise are designed to solidify your understanding and skills, enabling you to apply AI tools confidently in your day-to-day design tasks. ✅ Latest Industry InsightsLearn from the author behind the top AI newsletter in product design and 5x recipient of ADPList's Top 1% Mentor in Design. Insights gained from running regular AI workshops in universities. ✅ Exclusive Resources and AI ToolkitsGain access to a personal library of AI resources and database. These bonus materials are designed to support your continuous learning and application of AI in your projects. ✅ Continuous Support and CommunityJoin a vibrant community of like-minded professionals and continue receiving support through exclusive alumni networks and updates long after the course concludes.

Learn actionable AI skills to gain a competitive edge in the industry

Intensive sessions with frameworks, tactics, and exercises.

Lecture + Workshop

Carefully-designed exercises to apply AI in real-world examples.

Hands-on exercises

Bonus resources ($200+ value) and office hours

Additional support

Product DesignersLearn practical AI skills throughout the design process and get desirable outcomes faster and easier.

Design LeadersGain heads-on experience and real-world knowledge in AI. Get up to speed with AI trends.

Founders/AI EnthusiastsStay ahead of the trends with exclusive AI insights and detailed resources, and supportive community.

Understand the real-world application of AI in product design, from ideation to wireframes, from high-fidelity design to copy.

Analyze the latest trends in applying AI to product design.

Learn how to better leverage AI through hands-on exercises. Refine outcomes with fine-tuning techniques and actionable tips.

Explore the capabilities and constraints of AI in product design 

Get personal frameworks and tips to achieve the best results based on what you need.

Become proficient in crafting tailored AI prompts for diverse goals and scenarios.

Master the workflow through demos and practice. Know which tools to use under different scenarios.

Become proficient in leveraging AI in Figma to achieve optimal outcomes

Design better, faster, and smarter with AI

Columbia University

Amazon

Workday

City of Vancouver

Pratt Institute

Xinran Ma

Learn practical skills from AI Product Design Leader

Cohort 10

Cohort 11

AI is moving fast and too many design teams are still playing catch-up. The question is no longer&nbsp;“can we use AI?”&nbsp;but&nbsp;“how do we design it well?”. Without thoughtful UX, AI features risk alienating users and delivering little ROI. Master UX Design for AI [MXDAI] fills this gap by giving individuals and teams the tools to&nbsp;design AI that’s human-centered, transparent, and impactful. MXDAI isn’t just another UX course—it’s a career and capability accelerator&nbsp;for designers and design teams in an AI-first world. Built by a seasoned design leader and AI practitioner, this program goes beyond theory to give you&nbsp;hands-on experience designing AI applications&nbsp;that are intuitive, aligned with user mental models, and tied directly to business goals. Since launch in March 2025, over 180 students have graduated from MXDAI and consistently rated it 5 stars. → For Individual Designers: Build Your Career in AI UX AI is reshaping products everywhere. But most designers haven’t been trained to design for probabilistic systems, conversational interactions, or multimodal experiences. MXDAI is for you if you want to:- Adapt your design craft to AI and lead confidently in cross-functional settings.- Build a&nbsp;portfolio-ready AI case study&nbsp;that proves you can design beyond static interfaces.- Stand out in interviews and land new roles by showcasing end-to-end AI UX thinking.- Gain direct coaching and mentorship to accelerate your career. You’ll walk away with:- A portfolio-worthy capstone project that tells a compelling story of your AI design skills.- A repeatable framework to&nbsp;take a user-centered approach in defining high-impact AI use cases and driving alignment with cross-functional partners.- Hands-on experience prototyping and testing AI-driven flows using no-code tools like Voiceflow, Replit, Magic Patterns, Lovable and more- An ongoing community for support and learning, with meetups, critiques, and resources beyond the course. → For Teams &amp; Corporate Training: Build AI Capability at Scale For design leaders and product orgs, the challenge isn’t just knowing&nbsp;what AI can do—it’s knowing&nbsp;how to design and integrate it well. Too often, teams run into predictable hurdles: → Designers may lack AI literacy, which makes it difficult to anticipate probabilistic behaviors or design for multimodal interactions.→ Workflows can feel fragmented, with no clear sense of where AI belongs in the user journey.→ Trust becomes a sticking point—AI features get shipped but feel clunky, opaque, or unconvincing to users.→ And perhaps most common, design, product, and engineering lack a shared vocabulary, making cross-functional collaboration slow and frustrating. MXDAI addresses these challenges head-on.&nbsp;We train design teams in AI UX frameworks that can be applied immediately to your company’s products. Team cohorts are customized so that weekly assignments map directly to your business use cases, ensuring relevance from day one. By the end of the program, your organization won’t just have better-trained designers - you’ll have a&nbsp;team playbook for AI UX&nbsp;that standardizes best practices and accelerates future work. Your team will walk away with:- A common language and toolkit for AI design that fosters seamless collaboration with PMs, engineers, and data scientists.- Internal UX artifacts and prototypes tied to your company’s own product strategy, ready to influence upcoming roadmaps.- Hands-on experience applying AI design frameworks and prototyping tools to real use cases and not abstract exercises.- The skillset to deliver AI experiences that are trustworthy, intuitive, and aligned with your business goals.

Design AI experiences that users understand, trust, and keep coming back to


Build foundational AI design skills with expert-led modules. Learn user-centered AI design principles, perfect for busy design leaders and professionals.

OnDemand Content

Design AI experiences and receive weekly expert feedback on your portfolio project. Build a real-world AI design solution, ready for your professional portfolio.

Capstone Project

Join live sessions with your instructor for Q&amp;A, portfolio feedback, and insights on AI design decisions. Ideal for design leaders guiding AI-focused teams.

Live Design Sessions & Portfolio Feedback

Get in-depth strategies for AI design, ideal for design leaders wanting to develop the skills to lead teams in the AI design landscape.

Access to Advanced AI Design Strategies

Receive an official certificate upon completion of the course, demonstrating your expertise in designing user-centered AI solutions.

Certificate of Completion

Mid-Senior UX Designers. Learn to design AI experiences, build a portfolio project, and stay ahead in a fast-changing design landscape.

Design Leaders:&nbsp; Gain frameworks to lead AI projects, guide your team, and integrate human-centered AI into your org.

PMs &amp; Researchers:&nbsp;Understand AI UX patterns, improve collaboration, and design responsible, user-centered AI solutions.

Shape your mental models for AI UX: navigate non-deterministic user flows, apply systems thinking, and design for trust, transparency, and user control.

A Strong Foundation in AI Design

Use our proprietary journey mapping tools to identify and prioritize AI use cases—ensuring your designs deliver real user value and measurable business impact.

Strategic Understanding of AI Use Cases


Develop principles to shape AI experiences through trust, transparency, explainable AI, and by giving users agency and control at critical touchpoints.

Human-Centered Design Principles for AI


Build the UX logic of AI projects through flowcharts, journey maps, and system diagrams—developing the ability to think beyond screens and interfaces.

System-Level Thinking Skills


Leverage platforms like Loveable, Replit, Cursor, Voiceflow, and Magic Patterns to build interactive, working prototypes of your AI designs.

Interactive Prototyping with AI Tools


Use AI tools from Claude and Notion to Loveable and Voiceflow across multiple phases of your workflow—and build a clear understanding of how different tools support your design process.

Learn to Use AI Tools Across Your Design Process


Bring all assignments together into a final case study—stitching your work into a compelling narrative that demonstrates your end-to-end AI UX skills.

A Portfolio-Worthy Capstone Project


Get personalized feedback and guidance from the instructor—whether on your project, career trajectory, or navigating stakeholder challenges.

1:1 Weekly Coaching


Join group crit sessions, exchange diverse perspectives, and stay connected through monthly meetups long after the course ends.

A Highly Engaged Community & Ongoing Peer Network


Learn to design AI products that are intuitive and valuable. Build your AI project portfolio, get certified as an expert in UX for AI

Cohort 8

Rupa Chaturvedi

Cohort 7

Cohort 9

But most teams are still designing like it’s 2015. AI is transforming industries and changing the very foundation of how products work. Companies are moving fast to integrate large language models, agents, and adaptive systems into their products. But as model complexity grows, the user experience often gets left behind. Powerful algorithms can now predict, generate, and decide but without thoughtful design, they often confuse users, introduce risk, or fail to earn trust. The challenge? Designing for AI isn’t like designing for traditional software. It’s not just about usability or polish anymore. It’s about system behavior, adaptation, and collaboration between humans and machines. If you’ve ever launched an AI feature only to see users abandon it because they didn’t understand what it was doing or if you’ve been asked to “design the AI experience” but weren’t sure where to begin → this course is for you. The Role of the Designer Is ChangingUntil recently, designers focused on interfaces and flows. Today, the frontier is different. OpenAI recently posted a job for a Model Designer, a new kind of design role focused on shaping how models behave. And it signals a broader shift across the industry: Designers aren’t just styling outputs anymore. They’re architecting how intelligent systems learn, adapt, and interact. In AI-powered products, design happens upstream, at the level of:- Data inputs and how users shape them- Model decisions and how they’re surfaced or corrected- Feedback loops that guide learning- System behavior that evolves over time To adapt to this new environment, designers must understand how models work, not to become ML engineers, but to ensure what the system learns, shows, or hides aligns with human expectations and values. Real Challenges This Course Prepares You For You launch an AI-powered feature and maybe it recommends content, summarizes input, or automates a task. But users are confused or drop off quickly. They can’t tell why the AI did what it did, or how to influence it. The model works, technically. The experience doesn’t.→ Learn to design transparency, feedback, and control into intelligent systems before trust is broken. Your CTO asks you to “design the AI experience.” There’s no interface yet, just a prototype from the ML team and a prompt to “make it usable.” You’re left staring at system outputs, unclear where to start, or how much of the system behavior is even within your control.→ Gain the tools and frameworks to work upstream, shaping behavior, not just UI. You’re in a meeting where the team is debating whether to launch a model with 72% accuracy. Product wants speed. ML is confident the model will improve post-launch. But no one’s talking about the UX cost of being wrong nearly 1 in 3 times or how the system will recover from those mistakes.→ Learn how to design for failure, uncertainty, and system correction from day one. A personalization feature goes live. But user feedback is harsh: “This feels random.” You realize the issue wasn’t the model, it was the lack of communication and guidance. There’s no explanation, no context, and no way for users to improve the output.→ Understand how to design model feedback loops and trust-building interactions. You inherit a half-built AI assistant. It occasionally interrupts users at the wrong time, answers inconsistently, and disappears when needed most. The UI looks fine but the behavior feels off. You realize this isn’t a layout problem, it’s a systems design problem.→ Move from UI design to shaping system behavior, flows, and agent logic. You will bring your own real-life project scenarios, and we’ll coach you through how to solve them—using frameworks, feedback, and hands-on critiques.

The AI Tech Revolution Is Redefining Design

Class will meet once a week for live lectures and project discussions.

Weekly Live Sessions

Plan to work on a capstone project to apply your learning to a capstone project

Weekly assignments

Get weekly 1-1 office hours for personalized feedback on your capstone project

1-1 Coaching 

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.

Learn how to speak the language of models, data pipelines, and evaluation metrics—so you can contribute meaningfully from early scoping to final delivery. You’ll practice framing use cases, defining handoffs, and aligning design with system capabilities.

Collaborate effectively with ML and Product teams

Instead of just designing around the model, you’ll explore how interaction design can shape what the model learns, retains, or ignores. You’ll build UX patterns that create useful training signals, structured inputs, and adaptive guidance.

Shape model behavior through smart UX architecture

You’ll create flows that help users understand, question, or override the model’s decisions—like confidence indicators, correction mechanisms, and recovery paths for failure scenarios.

Design interactions that support user trust, control, and adaptation

Learn to design feedback loops where user actions (like corrections, inputs, skips, or feedback) help the model adapt. You’ll map those flows and create testable patterns that help close the loop between model performance and user value.

Build systems that improve over time—with users in the loop

Whether you’re dealing with ranking systems, generation models, or multi-step agents—you’ll practice mapping decision logic, designing trust dashboards, and identifying failure points. You’ll learn how to advocate for UX in model evaluation and behavior design conversations.