Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

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The only AI course where you build WITH real users from day 1

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Summer Session

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Unlock your creative potential with the AI Design &amp; Prototyping Toolkit! This essential resource empowers designers and developers to streamline their workflow using cutting-edge AI tools. From ideation to prototyping, effortlessly create and refine designs while gaining valuable insights to boost user experience. Perfect for all skill levels, this toolkit will elevate your projects, save you time, and inspire innovation. Download now and transform your design process!

AI DESIGN & PROTOTYPING TOOLKIT

Designers who craft user experiences, interfaces, and visual design.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

User experience design — information architecture, interaction design, usability, and end-to-end experience flows.

Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

UX Design for Agentic AI

Digital Product Designer

Principal UX Designer 

Senior Product Designer

Senior UX Designer / Product Designer

UX Team Lead

UX Designer for AI Innovation

UX Design Professional

Staff UX

Senior UX Designer

Become the Super IC companies are competing to hire. Build a portfolio of strategic AI Get certified by the Human Centered AI Institute.

Pick any AI-forward company today: Anthropic, Perplexity, Replit, Ramp, or Notion. From framing strategic bets in product economics and architecting AI experiences as systems, to building with validation in the loop and stewarding design systems at AI velocity, designers are defining the future of the discipline.Organizational leaders and hiring managers like me are not interested in just your AI prototyping skills. We are looking for the strategic and compounding value you can deliver for the organization. Designing as a Super IC is the career accelerator built for that. It draws from three years of teaching AI Design to more than 2,000 designers and product leaders across 400 companies, plus my own work as a practitioner, operator, and leader watching the role redefine itself in real time.Frameworks and tools can only take you so far. This program is built for applied learning, not theory: a portfolio-worthy project, exposure to industry-defining workflows and design decision making frameworks, and the confidence that comes from hands-on practice.We have significantly updated the original Master UX Design for AI, and the updated curriculum launches in July 2026.

Level up your individual and team design competency for AI-native workflows.

Frame the AI use case and business case to align the team around what to build 

 Build AI prototypes with Claude Code with intent to validate hypotheses 

Write system and component-level AI specification to determine product behavior

Extract components into a code-native design system that holds at AI velocity

The program assumes you've shipped products, designed for real users, and worked with a design system.

5+ years of professional product design experience. 

You've used Claude Code, Cursor, Github or equivalent AI tools in real product work, not just experimentation.

Hands-on experience with AI tools in design work.

This program is designed for hands-on, applied AI work, not passive content consumption.

Commitment to work on a project through the course. 

Senior product designers at AI-forward companies. You ship at speed and want the strategic profile organizational leaders are looking for.

Design managers and team leads. You run a team but operate as an IC (player coach). You need to set the bar and define the practice.

Hands-on AI practitioners. You're already shipping AI work. You want frameworks that turn your output into compounding value.

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch 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 Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

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.

Go from trial-and-error prompting to systematic AI-assisted building. Ship functional projects with a workflow you can use on every project

The job posting asks for a designer who can research, prototype, code, and ship. One role, three people's worth of expectations. Design teams got smaller. The work did not. And now every product roadmap includes AI features that need to be designed by people who were never trained to design for probabilistic systems.The pressure is coming from two directions. Inside your organization, you are expected to move faster with fewer resources while somehow incorporating AI tools into workflows no one has figured out yet. Outside, the profession itself is shifting. AI generates interfaces, writes copy, produces prototypes in minutes. The execution work that built your career is compressing. The question is no longer whether designers need to adapt—it is whether you are building the skills that will matter in two years.Claude Code for Designers answers both pressures at once. You move faster because you can build functional prototypes yourself. You stay relevant because directing AI to build is the new execution skill. You leave with a deployed project and a workflow system you can use on anything that comes next.

Master Claude Code. Build functional projects. Develop a reusable workflow.

An AI-First Build Workflow: From project scoping through deployment

A Reusable Workflow System: Templates, skills, prompt libraries, MCP configs

A Deployed Application: Ship a functional project from your own idea

Portfolio artifacts and fluency to discuss AI-assisted design in interviews

Design-to-Code Translation: Turn your design system into functional components

This course assumes working knowledge of design systems, user research, and product workflows.

5+ years of professional design experience

Experience using AI assistants in your workflow. The course moves quickly and assumes baseline comfort.

Familiarity with AI tools (Claude, ChatGPT, Copilot)

Product Designers. You design in Figma and wait on engineering. You want to build and ship functional prototypes yourself.

Design Leaders. Your team needs to move faster and integrate AI workflows. You want firsthand fluency before rolling this out.

MXDAI Alumni. You have the strategic frameworks for AI design. Now you want the execution skill to match.

The AI-Native Designer: New Craft,  New Workflows

Claude Design - A MasterClass

Choosing AI Interaction Patterns: A Decision Framework

The UX of AI Agents: Designing for Trust and Control

Strategies for Navigating your UX Career in the AI era

Model Design for UX Leaders: A Practical Framework

Decades of experience innovating in  AI Design and Product at MAANG and more

Polly Allen

Build and Maintain Code-Based Design Systems with Claude Code and Storybook

Your design system lives in Figma. Your product lives in code. The gap between them is where consistency breaks down: designers hand off components engineers rebuild from scratch, tokens drift, and documentation goes stale the week after you ship it. Keeping the two in sync has become a job nobody actually owns or wants.In this hands-on workshop you will build a design system the way your product is built, in code. You will prototype real screens with Claude Code, generate reusable components, and wire them into Storybook as living, interactive design system and component library. Then you will learn how to build workflows to maintain the system and library using Claude Code.You will leave with a running code-based design system in Storybook, one you can keep building on.

You leave able to build, document, and maintain a code-based design system with Claude Code and Storybook, ready to run on your own work

Build a code-based design system from scratch with AI

Turn working screens into a documented component library

Maintain a code-based design system as your team scales it

Senior &amp; Staff Designers. Your Figma system doesn’t match production, so every launch turns into rework, audits, and “why is it different?”

Design System Leads. You’re the bottleneck: token drift, endless requests, stale docs, and no sustainable way to keep the system healthy.

Designers Who Code. You can prototype, but want a production-ready system: components, tokens, and workflows your team can ship with.

A designer is as good as their portfolio. Level up yours in a day

AI Design Leader | x-Uber/Google/Amazon

If your portfolio is outdated, stuck as Figma screenshots, or fails to position you accurately, you're losing interviews before they start. Rebuilding feels like a project most designers push off for months.This workshop changes that. In one day, you'll shape your positioning, generate your case studies and visuals with Claude and Google AI Studio, and deploy a live portfolio to Vercel. You'll scope, build, and ship inside a four-hour session.You'll leave with a working portfolio on a live URL and Claude skills to keep building case studies as your career moves. NOTE: This is a handson workshop not a lecture series for passive content consumption. Expect to build and ship your portfolio site.

Designers in a job hunt. You need a polished, modern portfolio that signals credibility fast, not another stale case study PDF.

Designers with Figma case studies. Your work is strong, but the storytelling and format aren't landing. Time to level up.

Designers building AI fluency. You want hands-on vibe coding skills and a real portfolio project to show for it, not another tutorial.

Rupa Chaturvedi will make you a Strategic & AI Native Designer

Rupa Chaturvedi

About Rupa

Courses

Designing as a Super IC - A Career Accelerator for AI Native Designers

UX Design for Agentic AI

Claude Code for Designers

Workshops

Code Based Design Systems

Build and Deploy Your Portfolio with AI

Lightning Lessons