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Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

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

Cohort 2

Cohort 3

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.

Learn to build AI agents and workflows—developing judgment for what works, what doesn't, and how to adapt as capabilities evolve.

Schedules alternate by cohort to support multiple time zones. This cohort meets evenings (ET).


March 2026

AI Research Expert | Johns Hopkins PhD

PayPal

Bloomberg

Capital One

John Whalen

Schedules alternate by cohort to support multiple time zones. This cohort meets in the evening (ET).


February 2026

Schedules alternate by cohort to support multiple time zones. This cohort meets afternoons (ET).

April 2026

You've heard about AI agents. Synthetic users. Deep thinking models that can work autonomously for hours. They sound powerful – but what do you actually do with them?These new capabilities – agentic AI that runs complex multi-step processes, synthetic users that scale research impossibly fast, systems that think deeply while you're offline – unlock something fundamentally different. Not faster prompting. True research partners that follow your direction, think through problems, and execute sophisticated workflows without you at the keyboard.This course teaches you to harness these frontier capabilities. You'll create agentic workflows that execute multi-step research processes independently. You'll deploy synthetic users informed by real research data and learn when they're valid versus when human participants are essential. You'll build systems that think for considerable time, following the exact research patterns and rigor you define.Using accessible tools like n8n and Claude Code, you'll move from prompting to orchestrating. No coding background required – but you will learn to work with an IDE, terminal, and automation platforms that unlock AI's full research potential.

Move Beyond Prompting. Harness the Full Power of Agentic AI for Research.

Build AI Agents for Your Research Workflow

Create and Deploy Synthetic Users

Build Custom Agents and Multi-Agent Systems

Overcome the Technical Barrier

Orchestrate End-to-End Research Pipelines

Lead Advanced AI Research Initiatives

While not strictly required, Course 1 provides a strong foundation. You should be experienced with prompting AI and evaluating AI outputs.

Recommended: Completion of "AI for Customer Research"

Some agentic capabilities need Claude Code or Codex ($20/month). We'll guide you through setup.

Required: Claude Pro or ChatGPT Plus subscription

You'll work with an IDE, terminal, and automation platforms. We provide onboarding for non-technical researchers. New to me too! --John

Willingness to learn new technical interfaces

Alumni from "AI for Customer Research" ready to build autonomous agents, synthetic users, and workflows that work independently.<pre><code class="language-markdown"></code></pre>

Experienced researchers wanting to explore frontier capabilities—building agents, deploying synthetic users, and pushing beyond limits.

Product managers and designers ready to harness agentic AI for research—no coding background required, just curiosity to learn.

This course teaches you how to adapt your UX research and design practices to deliver AI-based functionality.


Cohort 8

World-renowned Leader in UX and Design

Center Centre – UIE

Jared Spool

Guides UX professionals on delivering well-designed products and services.


Cohort 7

Cohort 9

Ensure that every new AI capability your organization delivers improves the lives of your users and customers. AI is changing everything, and it’s currently impossible to imagine a world without it. The romantic viewpoint speaks to all the new things we’ll do with it — how it’ll make all our lives so much better.Yet you'll need to invest significant effort to realize the full potential of your AI functionality. UX and Design can (and should) play a substantial strategic role in how AI is infused into your organization’s products and services.How do you ensure that every new AI capability your organization delivers improves the lives of our users and customers?You can’t let AI be something that just happens to your products. You must intentionally design your AI capabilities to respect AI’s limitations while delivering exceptional experiences to the people you design for.

UX & Design for Today's AI Functionality

Section 1: Delivering Strategic UX & Design into the AI World (Lecture: 2 hours)

Section 2: Bringing AI Value through Intelligent UX & Design (Lecture: 1 hour)

Section 3: The Strategic UX & Design Process in an AI World (Lecture: 3 hours)

Learn how to adapt UX and design practices to deliver AI-based functionality.

For UX professionals seeking a user-centered approach to implementing AI.

Experienced Product and UX leaders who are now building and designing AI capabilities into their products and services.

Senior UX and Individual Contributors who want to take a leadership role in their org to ensure that UX is given attention with AI efforts.

Professionals ready to drive strategic thinking throughout their org on how to implement and deliver innovative, high-quality AI-infused UX.

Each week offers a deep dive into the techniques, theory, artifacts, and deliverables that define the Discover Phase.

Sr. UX Strategist | Author | X-Professor

Jaime Levy

Senior Design Strategist | Author of "UX Strategy" | Former NYU/USC Professor

Cohort 4

THE POINT: Great product designers and managers know that business strategy and the customer experience are inseparable.In this 4-week course, you’ll build the mindset and vocabulary of roles like Product Strategist, Design Strategist, UX Strategist, and Strategic Designer, gaining the skills and techniques needed to drive innovation and measurable success.You’ll also learn when to apply powerful frameworks for Strategic Thinking, Systems Thinking, Workflow Optimization, Root Cause Analysis, and AI Strategy. THE AI PART: Jaime will teach how to responsibly integrate best-in-class AI tools into your workflow and use them to solve real-world problems with practical and ethical AI-powered solutions.HOW THE COURSE WORKS: We’ll meet once a week for 90-minute sessions, combining in-depth, engaging lectures with dedicated Q&amp;A/discussion time. With each session, you’ll have an optional assignment to reinforce what you learned. Complete the assignments, and you’ll have the foundation of a strategy deck or portfolio ready to develop further. Office hours with Jaime happen on Fridays and Mondays for personalized 1:1 support/feedback on your project.

Lead High-Impact Discovery Phases with AI-Infused Strategy Techniques

Craft clear problem statements and value propositions with AI

Turn proto-personas into insight-driven customer interview frameworks

Conduct competitive research and analysis safely using commercial LLMs

Create storyboards that structure prototype flows for concept testing

It's helpful to already know how to assemble and design slides so you can focus on the content. But you can also learn as you go!

Familiarity with Keynote, PowerPoint or Google slides.

UX ProfessionalsFor designers, researchers, and makers ready to strengthen their strategic thinking skills.

Design Managers &amp; Product LeadsFor those responsible for shaping product vision, roadmap, and execution.

Strategists, Startups &amp; ConsultantsFor innovators integrating AI into their strategy process to design business models and advise clients.

Learn advanced vibe coding techniques and launch your app

Sr. AI Product Designer 

JPMorgan Chase & Co.

Citi Bank

TOCA Football

Thomas Jefferson University

John Rodrigues

Sr.Product Designer at JPMorgan Chase | Creator of AI Design Playbook

Live cohort where you will master Claude Code to improve your design workflow.

Learning AI tools like Claude Code is becoming a top priority for designers and most organizations. Product managers and developers are already shipping with Claude Code designers shouldn't be left behind. You no longer have to do repetitive work. Leverage Claude Code to automate your workflows, improve your efficiency, and deliver functional products not just static screens. No prior knowledge or coding skills needed. You'll be given a structured program, live sessions, and expert guidance. You won't fight your tools with Claude Code, you'll learn how to integrate it with your existing Figma workflow. Ship functional products and AI agents, master Claude Code skills to augment your abilities as a designer, and get ready for the transition that's already happening in the industry. With 80% of companies now adopting AI, the time to upskill is now. Join this cohort and get access to a thriving community of AI-native product designers and unlock opportunities that come with being ahead of the curve.

Designer with Claude Code Skills are getting valuable | Are you ready?  

Workshop 1 : Code Code Foundation 

Workshop 2:  Advanced Claude Code

Bonus : Get Access to AI Design Academy Course Library 

Curiosity, imagination, and grit are core skills in the age of AI you can learn the rest as you go.

Curiosity to Learn AI

No advanced technical knowledge required.

No Coding or Technical Expertise Needed

Grounded design is needed because this course is to help you compound your design skills and add an AI layer to it. 

Background in Design

Product Designers, who are want to level up thier Vibe Coding Skills

Design Leaders, Managers looking to upskill

Creative founders who want to do AI consulting or level up their design services through AI

A transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption. 

Veteran Design Leader & AI Coach

Epidemic Sound

CSIRO

Telstra

Atlassian

Riley Coleman

Human-Centred Design Leader & AI Adoption Strategist

Cohort 8 - May 2026

Observe someone interacting with an AI system and you'll notice that moment - understated yet profound - when they hesitate before accepting a recommendation. This PAUSE represents the most valuable element in human-AI interaction: a trust assessment occurring in real time. The New Design DisciplineWe stand at an inflection point in design. For decades, we've created static interfaces navigated in predictable patterns. AI fundamentally disrupts this paradigm. We're no longer designing experiences to be consumed but collaborations to be nurtured - a relationship between two different forms of intelligence that learn and adapt with every experience.The quality of this collaboration depends entirely on TRUST.Without it, people restrict their engagement and maintain a vigilance that prevents true partnership. This evolution demands a fundamental re-conception of what design means when interfaces become relationships and experiences become collaborations. Designers need to learn to adapt their skills and ways of working to be AI-enhanced, at the same time, their customers need them to learn to design AI they can trust.

Designing Systems People Trust

1. Understanding Collaboration Architecture

2. Crafting Trust Through Design

3. Evolving with Intelligence

Enhanced Work Practices - More productive & better outcomes

UX / Product / Service DesignersMove beyond interfaces to design meaningful collaboration between humans and AI based on trust.

DesignOps &amp; ResearchOps Develop frameworks that reveal the invisible qualities of trust &amp; transform how teams evaluate collaborative systems

Product Managers / LeadersDrive adoption &amp; retention by creating AI systems that users trust and want to use.

A 6-week practical course for UX professionals who want to master AI integration into their workflow.

Cohort 5

Design Executive & AI-UX Instructor

Danny Setiawan

20+ years in UX, taught UX for general Assembly and trained Fortune500 companies

Cohort 6

By the end of this course, you will be... - 3x more productive in your UX work without sacrificing quality and abdicating human decision making- positioned to command salary premium&nbsp;as an AI-skilled UX professional- Qualified for emerging "AI UX Designer" roles&nbsp;and bridge the gap between design and AI teams

Learning Objectives

Integrate AI into your daily UX workflows to become 3x more productive

Design AI-native products and qualify for AI-UX specialist roles

Build AI workflows that automate repetitive UX tasks

Complete an interview-ready AI-native portfolio project

Without a solid foundation in UX design process, students may be overwhelmed  because the focus of this course is integration into workflow

2+ years of professional UX experience

UX Designers &amp; Researchers- 2+ years of professional experience- Looking to integrate AI into UX workflows-Want to future-proof their ca

Design Leaders- Managers and directors of design teams- Seeking to implement AI across design processes- Want to drive innovation

Learn how to build AI products that turn users into evangelists with proven delight frameworks.

Founder, Delight Path

Adobe

Leadpages

Mixpanel

Zapier

Ramli John

Product Coach and Educator

Hult International Business School

Appcues

Openly

MachineMetrics

C. Todd Lombardo

Cohort 1

Every company is racing to add AI features. The problem? Most AI products feel robotic and frustrating, no matter how technically impressive.You've seen it:<ul><li>Customers abandon your AI chat after one try</li><li>Users ignore your "smart recommendations"</li><li>Your personalization falls flat despite perfect technology</li></ul>The real issue: Speed and intelligence don't create loyalty. They don't create fans who tell their friends or the "core memories" that turn users into evangelists.This course solves the critical gap: How to build AI that users genuinely love, not just tolerate.You'll learn the proven frameworks from exclusive case studies from Adobe, Spotify, Mailchimp, Zappos, and others that have mastered:<ul><li>Why high-emotion companies outperform markets by 800%+</li><li>The three pillars of hyper-personalization (Contextual Intelligence, Emotional Resonance, Anticipatory Design)</li><li>The trust equation that separates helpful AI from creepy surveillance</li></ul>This course is based on the forthcoming O'Reilly book Delightful Intelligence (September 2026) by Ramli John and C. Todd Lombardo.

UX

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