AI Design Leader | x-Uber/Google/Amazon

Pick any AI-forward company (Anthropic, Perplexity, Replit, Notion). The bar for senior designers has shifted: do more with less, move faster, ship higher-quality decisions.
Knowing AI tools isn't enough. You need to operate as a "super IC" with leverage: scope the right work, make strong product decisions quickly, deliver outcomes, not just outputs.
MXDAI builds that leverage two ways:
Use AI to accelerate design work (research synthesis, concept generation, prototyping, documentation)
Design AI-powered experiences (mental models, interaction patterns, behavioral specification, testing/evaluation)
Past students have used these skills to land new roles, expand scope, and move into AI projects at their companies.
MXDAI is the career accelerator for transitioning into a strategic, AI-native designer. It draws from 3 years teaching AI Design to 2,000+ designers and product leaders across 400 companies, plus my own work as a practitioner, operator, and leader watching this role get redefined in real time.
You'll leave able to design and ship AI product experiences: pick the right interaction patterns, specify AI behavior, build prototypes and use AI to accelerate your design workflow.
Become the Super IC companies are competing to hire. Build a portfolio of strategic AI Get certified by the Human Centered AI Institute.
Understand how LLMs work in practice (tokens, context windows, why outputs vary)
Learn the core building blocks: models + embeddings, RAG, tool use, agents
Translate technical constraints into better product and design decisions
Define an AI use case for your current product using the AI Use Case Canvas.
Define success metrics that connect the use case to organizational value.
Write requirements/specs that give the team (and AI agents) the right context to build
Learn the psychology behind how people judge AI and form expectations
Use the trust ladder to make deliberate calls on transparency, control, and what to show
Use the trust ladder to make deliberate calls on transparency, control, and what to show
Map conversation paths, error recovery, and adaptive behavior across user states
Decide when text, voice, vision, or multimodal actually serves the task
Write behavior specs + system prompts that handle ambiguity and edge cases
Choose the right prototyping tools and environment for your project
Build a working prototype (no-code and/or with Claude Code)
Structure hypotheses, user tests, and evaluation loops aligned with user mental models
Use AI to accelerate synthesis, concepting, prototyping, evaluation, and documentation
Extract reusable components and generate component specs/design.md as source-of-truth
Use AI to update and maintain the system without losing consistency at scale

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford
Senior product/AI designers shipping AI features who move fast, but need stronger system-level judgment for trust, behavior, and quality.
Design managers and team leads (player-coach) who set the bar and need shared frameworks to guide teams through AI work.
Experienced designers moving from UI execution to AI-native, strategic work who want to increase their strategic influence.
The program assumes you've shipped products, designed for real users, and worked with a design system.
You've used Claude Code, Cursor, Github or equivalent AI tools in real product work, not just experimentation.
This program is designed for hands-on, applied AI work, not passive content consumption.

Live sessions
Learn directly from Rupa Chaturvedi in a real-time, interactive format.
Certificate of completion from Human Centered AI Institute
Shareable on LinkedIn and for employer documentation.
Office hours for project feedback and critique
Dedicated office hours give you instructor and peer feedback on the project you carry through the course.
Shared space and community for peer-based learning
A private community space supports peer learning, project exchange, and continued connection with your cohort beyond the course.
Alumni Discounts on Future Courses.
Significant discounts on all HCAI courses, including Agentic AI Design and Claude Code for Designers. Many graduates continue building their AI design capability across the full program sequence.
Lifetime access
Go back to course content and recordings whenever you need to.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
5 live sessions • 15 lessons • 2 projects
Jul
19
Jul
25
Jul
26
Live sessions
2-4 hrs / week
Sun, Jul 19
4:00 PM—6:00 PM (UTC)
Sat, Jul 25
3:00 PM—4:00 PM (UTC)
Sun, Jul 26
4:00 PM—6:00 PM (UTC)
Projects
1-2 hrs / week
Async content
1-2 hrs / week
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
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