Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

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

Google

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.

In the age of AI, the only true differentiator is emotional connection. 
Learn how to create standout products.

Ex-Product leader Google, Spotify, Skype

Skype

Spotify

Dr. NESRINE CHANGUEL

Built & scaled globally used and loved products at Google Meet, Chrome, Spotify

US Friendly Cohort

Cohort US-UE

I am opening a EU- and US-friendly cohort.3 live sessions: May 4, May 11, and May 189:00 – 10:30 AM San Francisco/ 12:00 – 1:30 PM New York/ 6:00 – 7:30 PM ParisIn a world of infinite features and constant innovation, functionality alone no longer guarantees product success. What makes products truly stand out is emotional connection.In this course, Dr. Nesrine Changuel draws on 10+ years of product leadership at Google, Spotify, and Microsoft to introduce a proven framework for building products that don’t just solve problems, but resonate with users. Through real stories, behavioral insights, and practical tools, you’ll learn how delight drives adoption, retention, engagement, revenue, and brand love.By the end of the course, you’ll identify functional and emotional motivators, turn insights into clear product opportunities, elevate good features into memorable experiences, prioritize delight intelligently, validate impact beyond vanity metrics, and embed delight sustainably into your product culture and roadmap.This course is designed for product leaders and builders who want to create products people don’t just use, but love.

In the age of AI, the only true differentiator is emotional connection. 

Build the Foundations of Emotional Connection:

Identify Functional & Emotional Motivators:

Turn Motivators Into Delightful Opportunities:

Master the Delight Grid:

Validate & Measure Delight:

Embed Delight Into Product Culture:

Leaders, PMs and designers working on mature products that need to differentiate and stand out.

Early-stage teams looking to create standout products with distinguished brand and personalities both in the B2B and B2C spaces.

Founders, entrepreneurs, and leaders who want to foster a culture of Delight in their organization and teams.

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.

AI without empathy and delight is just expensive automation. Here' how to fix it

Build AI that users love using the 3-pillar delight framework.

Create a delight-first culture that drives measurable business results.

Product Managers building or enhancing AI features who want users to love their products, not just use them—and need proven frameworks now.

Product Leaders defining AI strategy who need to justify delight investments with data and build cultures that create emotional connections.

Product Designers creating AI experiences who want to design interactions that feel magical, not robotic

For Designers

Artificial Intelligence

Product Strategy

UX

Cohort-based courses

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