Human Centered AI Institute

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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

Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

Rupa Chaturvedi

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

UX Design for Agentic AI

Product Design Director

Staff Designer

Product Design Manager

UX Design Lead

Techical Product Manager

UX Program Manager

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

Master UX Design for AI

Senior Product Designer

UX Design

Insight and Service Design specialist

Sr Designer II 

Stanford University

Amazon

Google

Uber

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.

Product teams are shipping AI features at pace. Designers are expected to deliver intuitive experiences users trust and that drive business goals—but most design training optimized for deterministic interfaces, not probabilistic systems.The gap shows up in three ways: mindset (adopting new processes, approaches, and tools), systems thinking (understanding how AI behavior, data, and interface work together as a system), and probabilistic frameworks (translating existing skills into interfaces that work for evolving user mental models).MXDAI is a career accelerator that addresses these gaps directly. Through project-based learning, 1-1 coaching, and proven frameworks, you'll develop capabilities that translate immediately to your work—whether you're designing conversational flows or agentic systems.For individuals: Build portfolio-ready skills through hands-on prototyping and a capstone project. For teams: Customize cohorts to your products and address fragmented workflows, trust gaps, and cross-functional silos. Teams develop shared language and frameworks that standardize practices.150+ students graduated since March 2025 with 5-star ratings. [Revised with fresh content for 2026]

Design AI experiences that users trust and find delightful 


Develop user-centered AI use cases that drive strategic influence

Define design principles and system prompts that specify AI behavior

Design for trust using mental models and interface patterns

Develop system design thinking for probabilistic AI behaviors

Choose interaction patterns and modalities through data-driven frameworks

Build working prototypes using AI tools with test-iterate mindset

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; Startup Founders: Understand AI UX patterns, improve collaboration, and design responsible, user-centered AI solutions.

Unlock the power of AI to design and lead AI-powered products &amp; experiences—without writing a single line of code!AI is transforming product and design, but most AI education is either too technical for business leaders or too theoretical to be useful. This is the only course built for product managers AND designers who want to confidently integrate AI into their products using practical, real-world frameworks and learn AI by getting hands-on. 💡 What You’ll Learn:How to evaluate AI opportunities and pick the right projects for your users &amp; business.How to design intuitive AI interactions that actually work for people.How to prototype AI-driven experiences with no-code tools.How to measure success and avoid AI pitfalls (bias, hallucinations, poor user trust). Taught by industry pros who’ve built AI at Amazon, Google, and Uber, this course cuts through the hype to give you the frameworks and tools to make AI work—the right way. 🛠 What You’ll Get:✅ 4 live virtual workshops with Polly &amp; Rupa—learning from proven AI educators whose courses rank Top 3 on Reforge (by NPS) and are Maven bestsellers.✅ A downloadable AI Product &amp; Design Playbook—filled with real-world tools, templates, and checklists.✅ A video walkthrough of no-code AI tools—so you can start experimenting right away.✅ Lifetime access to our AI by Design community—where leaders like you share insights, resources, and job opportunities. 📌 By the end of this course, you’ll have:✔ A tested process for evaluating, designing, and leading AI initiatives.✔ Confidence in using no-code AI tools to validate ideas fast.✔ The skills to build AI-powered products &amp; UX—without needing a technical background. 🔥 AI isn’t just for engineers—it’s for product &amp; design leaders who know how to build the right things, the right way. Join us and start building AI for the world we want.

AI by Design: Learn to Build AI-Powered Products the Right Way

Course syllabus

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Product Discovery WorkshopThis workshop includes time to practice the frameworks we're learning with group breakouts and hands-on exercises. Recording will be available.

Tuesday, December 3rd

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Design Considerations for AI SystemsGet ready to tour the world of innovative UI user experiences. Recording will be available.

Wednesday, December 4th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time Data &amp; Technical Plans for AI ProductsWe'll dive deep into data considerations and how to choose between emerging architecture frameworks in AI systems. Recording will be available.

Tuesday, December 10th

8:00 - 9:30am Pacific Time11:00 - 12:30pm Eastern Time5:00 - 6:30pm British Standard Time AI Protoyping and ValidationGet ready for a fast-paced ride through the world of tool for AI prototyping and validation. Recording will be available.

Wednesday, December 11th

Put aside 2-3 hours to work on your AI project idea between sessions. You'll be guided with a workbook to consider the most important decision points.

Weekly projects

Join our Slack community that lives on even beyond the course! Network with like-minded product and design leaders, and get feedback on your projects and progress.

Network & Get Feedback

Course schedule

Product Managers – Learn to evaluate AI opportunities, work with technical teams, and confidently lead AI-powered products.

Design Leaders – Understand how AI transforms user experiences and how to prototype AI-driven interactions.

Innovation &amp; Strategy Teams – Gain practical frameworks to guide AI decisions and validate AI ideas fast.

⚠️ This course is NOT for engineers or data scientists looking for ML model development—this is about AI application &amp; leadership.

Who is this course for

What you’ll get out of this course

You'll learn where AI-driven products succeed and fail, common pitfalls to avoid, and how to evaluate AI opportunities using industry frameworks. You’ll walk away knowing how to build a strong business case for your AI initiative.

🧠 Understand When to Apply AI in Your Product or UX

Learn the unique design challenges of AI-powered experiences—from trust and transparency to human-AI interaction best practices. Get hands-on exploring no-code AI tools and understand how to iterate efficiently with your team.

🎨 Learn Principles for AI-Driven Product & UX Design
 

You don’t need a technical background to test AI ideas. We’ll guide you through evaluating AI tools, setting validation criteria, and creating lightweight AI-driven prototypes using no-code platforms to bring your vision to life.

🛠 Know How to Prototype & Validate AI Concepts with No-Code
 

AI isn’t just about launching a feature—it’s about ensuring it delivers real value. Learn how to set success metrics, monitor AI performance over time, and avoid risks like bias, hallucinations, and user distrust.

📈 Measure AI Success & Avoid Common Pitfalls 

Whether you’re a product manager, UX leader, or innovation strategist, you’ll leave with a repeatable framework for integrating AI into your work, guiding stakeholders, and making smart AI decisions—without needing to code.

💡 Lead AI Initiatives with Confidence
 

Learn the AI skills you need to evaluate opportunities, design experiences, and build AI-powered products—without coding

Polly Allen

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 Job Market RealityThe job market is in chaos. AI is reshaping every industry, eliminating some roles while creating entirely new ones, and leaving professionals scrambling to position themselves effectively. Traditional resumes often fall short when you're applying across different types of roles or rapidly evolving job categories. Turn Disruption Into OpportunityThis is your chance to learn how to build AI tools that solve real problems—starting with your own. Using cutting-edge vibe coding tools like Loveable, Voice Flow, Claude Code, or Emergent, you'll design and build a functional, interactive resume optimizer that you can use immediately. What You'll BuildThis isn't just a course where you can watch videos and passively consume content — it's a hands-on build experience that combines UX and technical expertise. You'll get project support from design and tech professionals through dedicated office hours, ensuring you land a fully functional app that optimizes your resume for different roles, strengthening your alignment and positioning for each opportunity. In Just 3 Weeks...Through a structured approach and ongoing office hours support, you'll go from idea to deployed tool, gaining practical AI-building skills while accomplishing your own career goals.

Use AI to Create Your Competitive Advantage


Basic prompt writing experience and familiarity with AI tools like ChatGPT, Claude, or similar platforms

Basic Prompt Writing Experience

An active paid account with sufficient credits on at least one vibe coding platform (we recommend Emergent, Loveable, Voiceflow, or Claude)

An Active Paid Account

Current resume and clear understanding of your career goals and target roles. Case studies and portfolio materials ready to go

Updated Resume and Case Studies

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Job seekers&nbsp;applying to multiple companies who need to make their resume optimization process more&nbsp;efficient and targeted.

Career pivoters&nbsp;exploring new roles and industries who want to give themselves the best&nbsp;shot at landing something new.

AI enthusiasts&nbsp;ready to get their hands dirty&nbsp;building real tools and learning AI development through practical application.

Develop the workflows to create an AI agent that can intelligently optimize your resume and generate multiple targeted versions, each calibrated for specific opportunities and industries.

Design Your Personal AI Agent


Feed the agent your complete professional narrative—background, skills, achievements, and past projects—so it learns to authentically represent your unique value proposition and career trajectory.

Train It on Your Career Story


Build dynamic workflows that let your agent analyze job postings and strategically tailor your resume—matching keywords, emphasizing relevant skills, and adjusting positioning for maximum alignment with each role.

Job-Specific Optimization Workflows


Get hands-on with vibe coding using tools like Claude, Lovable, and similar platforms to build, refine, and test your agent through real-world applications, ensuring it delivers results you can rely on.

Prototype & Test Your Optimizer


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


Choosing AI Interaction Patterns: A Decision Framework

Founder - Human Centered AI Institute, Design Leader, Adjunct Lecturer- Stanford

Understand why teams default to chat after ChatGPT and spot the workflow conditions where it creates friction.

Why Chat Became the Default (And When It Fails)

Learn when to use conversational, embedded, copilot, or agentic patterns with real world examples

Four Popular AI Interaction Patterns and When Each Works

Walk away with a practical framework for matching AI interaction patterns to real user workflows and contexts.

A User-Centered Decision Framework for Pattern Selection

The UX of AI Agents: Designing for Trust and Control

Understand the psychological barriers to agent adoption and what it actually takes to overcome them.

Why Users Want Delegation But Resist Losing Control

Learn the framework: legibility (what it's doing), boundaries (what it won't), reversibility (how to undo).

Three Design Mechanisms That Build Agent Trust

See real examples of agent UX done well vs. poorly, plus a framework to evaluate your own designs.

Patterns for Agent UX That's Working Now

Strategies for Navigating your UX Career in the AI era

See how AI is reshaping design—from interfaces to systems, copilots, and multimodal experiences.

The New Landscape of Design Work

Discover new roles and pathways leading the next wave of design.

Emerging UX Career Pathways

Learn about key skills for the AI era: systems thinking, data literacy, experience architect and more

Future-Proof Your Design Skills

Model Design for UX Leaders: A Practical Framework

Specify model behavior, data scope and policies in plain language so agents act predictably

Learn how to define model design for UX

Express policies in the UI to enable users to understand intent and stay in control.

Gain practical insights into visible trust cues

See real examples of checkpoints and escalation rules that keep automation transparent and accountable.

Discuss simple methods to design oversight

The 3 Validation Traps That Kill 95% of AI Side Projects

AI UX Design Leader, Founder - Human Centered AI Institute

Sunny Patneedi

AI Engineering Leader, Founder - SayMake, building an AI mentor for every child

Before writing code, validate whether your problem is worth solving and paying for using a tried and tested framework

The Personal Pain Trap

Your AI can sound smart but still confuse users. Learn why clarity beats coherence—and how to design for efficacy.

The Demo Applause Trap

Too many AI tools, not enough clarity? Learn a simple UX-first framework to make confident architecture choices.

The Stack Analysis-Paralysis Trap

Craft Your AI Design Portfolio with No-BS Strategies

Apply clear frameworks to organize case studies and show how your AI design work creates value.

Structure your AI portfolio using practical frameworks

Learn how to communicate decisions, challenges, and outcomes through effective storytelling techniques.

Tell better stories about your AI design process

Review strong examples from past students to spark ideas and elevate your own portfolio projects.

Learn directly from Human Centered AI Institute

Human Centered AI Institute

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UX Design for Agentic AI

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