Self Paced - Master UX Design for AI [MXDAI]

Rupa Chaturvedi

AI Design Leader | x-Uber/Google/Amazon

Self Paced

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Your team is shipping AI features fast, and you can now generate a working UI in an afternoon with Claude or Lovable.

But speed exposed a harder problem. The generated UI does not look on brand. It reads as AI slop your users do not trust. You are not sure which patterns actually fit AI UX, and when a stakeholder pushes back you cannot defend the design choice with anything solid. Meanwhile the organization wants more, faster, and you are the one holding the quality bar.

MXDAI gives you the tools, frameworks and practical hands on knowledge to transition into a strategic, AI native designer. You will learn the interaction patterns that fit AI products, turn generated output into interfaces users trust, define use cases that earn you real influence with stakeholders, and prototype working AI without code.

This is for experienced designers who can feel the ground shifting with AI and want to lead the work instead of executing someone else's spec.

What you’ll learn

Vibe code an AI tool that optimizes your resume for different roles and strengthens your positioning.

  • Frame use cases that connect user needs, technical constraints, and business goals using proven frameworks.

  • Walk into stakeholder conversations with a clear argument, not a hunch, and get a say in what gets built.

  • Move past UI-only work into strategic, upstream decisions.

  • Learn the psychological phenomena that shape how people read, judge, and form expectations of AI.

  • Use the trust ladder to make deliberate calls on transparency, control, and how much to show.

  • Choose interface patterns that make the AI legible and keep users in control.

  • Map conversation paths, error recovery, and adaptive behavior for systems that never respond the same way twice.

  • Design AI interaction architecture and choose the right pattern based on user needs

  • Decide when text, voice, vision, or multimodal actually serves the task.

  • Choose and set up the right prototyping tools and environment for your project.

  • Prompt efficiently to generate and iterate on working prototypes fast.

  • Apply no-code building frameworks and best practices to ship functional demos.

  • Understand how large language models actually work: tokens, training data, context windows, and why outputs vary.

  • Place today's tools in the longer arc of AI history so you read the field clearly instead of chasing hype.

  • Learn the core AI technologies every designer should know, from models and embeddings to RAG and agents.

Learn directly from Rupa

Rupa Chaturvedi

Rupa Chaturvedi

Founder-Human Centered AI Institute, AI & UX Leader, Adjunct Lecturer-Stanford

Stanford University
Amazon
Google
Uber
See all products from Rupa

Who this course is for

  • AI designers actively designing and shipping AI features who can generate a UI fast but need it on brand and trusted.

  • Design leaders building or restructuring teams for AI work who want shared frameworks and judgment.

  • Experienced designers repositioning from UI execution to strategic, AI-native design work.

What's included

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

Your purchase is backed by the Maven Guarantee.

Course syllabus

2 live sessions • 8 lessons

Week 1

Aug 10—Aug 16

    Module 1: Technical foundations

    3 items

    Module 2: AI use cases that earn strategic influence

    1 item

    Module 3: Understanding user mental models in AI

    1 item

    Aug

    15

    Optional: AMA and Live Community Meetup

    Sat 8/155:00 PM—6:00 PM (UTC)
    Optional

Week 2

Aug 17—Aug 22

    Module 4: System-level thinking for AI

    1 item

    Module 5: Designing for trust

    1 item

    Module 6: Prototyping working AI without code

    1 item

    Aug

    22

    Optional: AMA and Live Community Meetup

    Sat 8/225:00 PM—6:00 PM (UTC)
    Optional

Free resource

From Idea to Interface: How to Build a Working AI Prototype cover image

From Idea to Interface: How to Build a Working AI Prototype

Learn Voiceflow fundamentals

Get familiar with the core features of Voiceflow, including blocks, flows, intents, variables and how they work together

Build a working prototype of a basic conversational flow

Learn step-by-step how to design and test a functional chatbot or assistant prototype—without writing code.

Extend your prototype to simulate agentic behavior

See how Voiceflow can go beyond simple conversations to prototype agent-like interactions, including task automation

Schedule

Projects

2-4 hrs

One portfolio-ready AI design project you build across the two weeks. You apply the frameworks as you go, from defining the use case through prototyping the experience, and leave with a finished piece you can show. Hands-on assignments in each module roll up to the final project.

Async content

2-4 hrs

Six self-paced modules of written lessons you move through on your own schedule: technical foundations, AI use cases, user mental models, designing for trust, system-level thinking, and prototyping without code. Short and practical, built for experienced designers, with no filler.

Frequently asked questions

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Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$999

USD

Aug 10Aug 23
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