AI Product Validation Intensive

New
·

4 Weeks

·

Cohort-based Course

Validate your AI product idea with real users. Learn, build, and get coached by industry veterans to find product-user fit—fast.

Course overview

Building in the AI era is different.

So the way you validate, test, and launch must be different too.


If you’ve been circling an AI idea—sketching it in Notion, building prompts in GPT, or hacking together a Loveable prototype—you’re not alone.


We’re in a generational shift.


In the past, shipping a startup meant raising a round, hiring a team, and spending months building an MVP. Today, a single person with the right tools can test, build, and launch faster than most seed-stage teams.


But that speed creates a new problem: It’s never been easier to build something no one wants.


What’s hard now isn’t building—it’s knowing what to build, who it’s for, and how to validate it without burning out or flying blind.


This course is different. It doesn’t teach you how to build an AI product.


It teaches you how to define your success parameters, test with real users, find product-user fit early, and build like an AI-native founder.


Most AI courses teach tools. We teach traction.


You’ll go beyond frameworks and walk out with proof. Proof that your idea solves a real problem. That users want it. That it’s worth your time and energy.


We help you pressure-test the riskiest parts of your idea before you waste months on it.

And we connect you with real users—so you’re not stuck launching into the void.


AI is reshaping more than product workflows.


It’s reshaping how we think about our careers, our impact, and our creativity.


If you're a designer or PM, you’re no longer limited to your role—you can own the whole stack.


If you're an engineer, you don’t need a team to launch something real.


If you’ve ever dreamed of being a founder, this is the moment AI makes it possible.


But only if you learn to think and operate like an AI-first builder.


This course is for ambitious builders—whether you’re shipping solo, exploring a side hustle, or prototyping your next startup.


What to Expect


This is not a passive, watch-some-videos kind of course. It’s a structured, high-signal, high-feedback environment designed to help you move fast, build confidently, and learn through doing.


Each week, you’ll actively work on your own AI product idea—refining your concept, testing your riskiest assumptions, and making measurable progress toward product-user fit. You’ll go from a fuzzy idea to a real prototype tested with real users in just 6 weeks.


You’ll get:

- Live sessions led by design and engineering leaders from Apple, Amazon, Uber, and Microsoft

- Actionable frameworks and blueprints used by top teams to validate, measure, and iterate quickly

- 1:1 coaching and expert feedback tailored to your product, stage, and user type

- Accountability tools to help you commit, build, and stay on track

- Access to real users for testing and interviews—no cold DMs required


But what makes this course truly different is the community model.


Every student is expected to participate in user testing for select peer projects.


You’ll be paired with other builders based on interest, skillset, and background—so you’re testing with people who can actually give you relevant feedback.


You’ll learn as much from testing others' products as you will from building your own. It’s this mutual support, shared learning, and real-time iteration that creates an environment where everyone levels up—together.


This isn’t just a course.


It’s a collaborative launchpad for AI-first builders.


By the end, you won’t just walk away with a polished prototype.


You’ll walk away with real user insights, a trusted network of collaborators, and the mindset to build and ship like an AI-native founder.

Who is this course for

01

Solo Builders & Side Hustlers

You have an idea and want expert support to validate and launch it—without wasting time or code.

02

Startup Teams & Early Founders

You’re in the 0→1 stage and need real user signals to shape and validate your AI product idea.

03

Designers & Engineers with Product Vision. Want to lead AI products, not just ship features—learn to validate with real users.

What you’ll get out of this course

Use our AI Product Blueprint to go from fuzzy idea to tested prototype

We’ve distilled everything we’ve learned from shipping AI products into a practical framework and templates you can use again and again. You’ll turn vague ideas into structured, testable hypotheses—and then into working prototypes within a few weeks.

Define product-user fit and track it with the right metrics

Most people chase PMF too late or track the wrong things. We’ll help you define fit early by teaching you how to spot signals: activation patterns, user intent, repeated behavior, qualitative insight. You’ll build a simple KPI stack to measure fit week by week.

Test your prototype weekly with users from our builder community

Each week, you’ll either test your product with peers or give feedback on theirs. You’ll be matched by interests and background, so feedback is useful and relevant. This is not just theory—you’re actively learning through direct interaction and testing.

Get coaching and feedback from seasoned builders

You’ll receive personalized feedback on your project during live sessions and office hours—from instructors who’ve built AI products at companies like Apple, Amazon, Uber, and Microsoft. No fluff, no generalities—just honest feedback to help you move forward.

Build like an AI-native founder—fast, iterative, insight-driven

You’ll learn how to apply AI tools at every step: GPT for research, Claude for synthesis, Figma AI and Framer for prototyping, and no-code tools to test ideas. The course helps you move at the speed of today’s best AI builders—without needing a full dev team.

Build a launch-ready product roadmap

Whether you're building a side hustle, launching a startup, or experimenting with AI for the first time, you'll walk away with a tested prototype, clear user insights, and a product roadmap you can execute—or pitch to collaborators or investors.

What’s included

Live sessions

Learn directly from Rupa Chaturvedi & Sunny Patneedi in a real-time, interactive format.

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

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Aug 11—Aug 17

    Module 1: Problem Discovery & Validation Mindset

    • Aug

      16

      Live Session 1: AI-Powered, Human-Centered Problem Discovery

      Sat 8/163:00 PM—6:00 PM (UTC)

Week 2

Aug 18—Aug 24

    Module 2: Designing AI Products for Adoption

    • Aug

      23

      Live Session 2

      Sat 8/233:00 PM—5:00 PM (UTC)
    • Aug

      20

      Weekly Office Hours

      Wed 8/205:00 PM—7:00 PM (UTC)

Week 3

Aug 25—Aug 31

    Module 3: AI Powered Rapid Prototyping

    • Aug

      30

      Live Session 3

      Sat 8/303:00 PM—5:00 PM (UTC)
    • Aug

      27

      Weekly Office Hours

      Wed 8/275:00 PM—7:00 PM (UTC)

Week 4

Sep 1—Sep 7

    Module 4: Feedback Synthesis & Validation Triangulation

    • Sep

      6

      Live Session 4

      Sat 9/63:00 PM—5:00 PM (UTC)
    • Sep

      3

      Weekly Office Hours

      Wed 9/35:00 PM—7:00 PM (UTC)

Post-course

    Sep

    10

    BONUS: Office Hours

    Wed 9/105:00 PM—7:00 PM (UTC)

    Post Course: User Experience & Performance Optimization

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Meet your instructor

Rupa Chaturvedi

Rupa Chaturvedi

AI UX Design Leader, Founder Human Centered AI Institute

Rupa Chaturvedi is a product design leader with 15+ years of experience at Amazon, Google, Uber, and AI startups. She’s the founder of Human Centered AI Institute, offering coaching and corporate training in AI product design. Rupa has contributed to key AR/AI/ML technologies at Amazon and Uber and holds an MS in Product Design from Stanford. She’s also an inventor with 18+ patents, a UX design instructor at Stanford, and a mentor in the tech and food startup spaces.

Amazon
Google
Uber
Stanford University
Sunny Patneedi

Sunny Patneedi

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

Sunny Patneedi, an AI Engineering Leader with over two decades of experience at Apple, Microsoft, and Salesforce, led teams at Apple Maps for seven years. During this time, he developed machine learning and distributed data systems that propelled iOS features to market. After leaving Apple, he founded SayMake to empower children with AI mentors. Sunny has firsthand experience building AI products. He believes most AI products fail due to customer neglect, not technical issues, and that most AI courses prioritize prototypes over revenue potential validation.

Apple
Microsoft
Salesforce
A pattern of wavy dots

Join an upcoming cohort

AI Product Validation Intensive

Cohort 1

$2,450

Dates

Aug 11—Sep 7, 2025

Payment Deadline

Aug 10, 2025
Get reimbursed

Course schedule

4-6 hours per week

  • Live Session & Workshops

    Saturdays 8 AM - 10AM PST

    These live sessions are the core of the course experience. Each Saturday, we’ll meet for a 3-hour working session that includes coaching, peer feedback, and real-time exercises. You’ll share progress, test ideas, and get guidance on your next steps. We strongly recommend attendin

  • Weekly office hours

    Wednesdays 10 AM - 11AM PST

    In addition to live workshops, we host optional weekly office hours where you can get direct support on your project. Bring questions, blockers, or early prototypes—this is your time for 1:1 feedback, deeper coaching, or just a sanity check. It’s a casual, collaborative space to

  • Validation Sessions

    90 Mins Weekly

    Each week also includes a 90-minute product validation session where you'll either test your prototype with real users or give feedback on peer projects. You'll be matched with participants based on interest and background.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

AI Product Validation Intensive

Cohort 1

$2,450

Dates

Aug 11—Sep 7, 2025

Payment Deadline

Aug 10, 2025
Get reimbursed

$2,450

4 Weeks