AI Product Management Certification: Run Rapid Product Market Fit Experiments

Anil Jaising

Chief Product Manager and Co-Founder

Bernie Maloney

Principal Product Consultant

The systematic approach to validating product bets before engineering commits.

You've watched engineering spend months building something that flopped at launch. You've sat in prioritization meetings arguing about which bet to make, with nothing but opinions and gut feel.

There's a better way.

This course gives you a systematic method to validate product ideas before you ask engineering for a single sprint. Using AI-powered prototyping, structured experimentation, and real market testing, you'll learn to separate winning ideas from expensive mistakes in weeks rather than quarters.

By the end of this 4-week sprint, you'll have validated (or invalidated) a real product concept using techniques you can repeat on every initiative you touch.

THE PROBLEM THIS COURSE SOLVES

Product leaders face a credibility gap:

• Your roadmap is built on assumptions, but stakeholders expect certainty

• Engineering capacity is scarce, and you can't afford to waste sprints on unvalidated ideas

• Competitors ship faster because they've figured out how to test before they build

• AI tools exist that could accelerate validation, but you're not using them systematically

Most PM courses teach you frameworks for thinking. This one teaches you a system for proving.

What you’ll learn

This is a hands-on transformation blueprint. In just 4 weeks, you'll go from "hoping it works" to "knowing it will work"

  • Identify the desirability, viability, and feasibility assumptions and surface hidden assumptions

  • Prioritize experiments by risk, learning value and rank them by risk

  • Design experiments and build a validation backlog that complements your product backlog

  • Build interactive prototypes using AI code generation

  • Create testable landing pages that measure intent

  • Ship minimum viable tests without consuming engineering capacity

  • Structure experiments with falsifiable hypotheses

  • Choose the right test type for each assumption (smoke tests, painted doors, concierge MVPs)

  • Define success criteria before running tests

  • Use AI to generate and test multiple positioning angles

  • Build offers that separate real demand from polite interest

  • Create automated workflows to capture and qualify leads

Learn directly from Anil & Bernie

Anil Jaising

Anil Jaising

Help Entrepreneurs and Product Leaders THRIVE, Unpack Product Innovation

JPMorgan Chase & Co.
Market Axess
Goldman Sachs
Software AG
Bernie Maloney

Bernie Maloney

From breakdowns, through breakthroughs, to $1B and beyond

HP
TiVo
Persistent Systems

Who this course is for

  • Product Focused Startup founders and Corporate Product Managers frustrated by the gap between their products's potential and current result

  • Product Directors accountable for portfolio-level outcomes, need to de-risk multiple bets and adopt validation as a standard practice

  • Product Managers Building new products or major pivots to prove product-market fit signals before scaling investment in high risk assumption

Prerequisites

  • This course is NOT FOR everyone

    Folks who are early career, or are meaningfully involved in content creation should not enroll

  • This IS NOT a beginner level course

    It is almost certainly the most advanced product validation course , suited for PMs, Design, Eng, Data, etc

  • It is FOR YOU if you like think for yourself and want to win

    it IS NOT for folks who like to outsource their thinking to others and just follow directions or Anyone looking for theoretical frameworks

What's included

Live sessions

Learn directly from Anil Jaising & Bernie Maloney in a real-time, interactive format.

Access to recordings

Go back to course recordings when you need to.

Vibrant Circle Community

Discuss and share insights with like-minded top product leaders & founders in your cohort.

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

Mar 6—Mar 8

    Mar

    6

    Assumption Mapping + AI-Powered Value Prop Testing

    Fri 3/64:00 PM—6:00 PM (UTC)

    Homework for Module 2

    0 items

    Slides from Session 1

    0 items

    Complete Survey

    0 items

Week 2

Mar 9—Mar 15

    Mar

    13

    Rapid Prototyping using Vibe Coding

    Fri 3/133:00 PM—5:00 PM (UTC)

    Slides from Module 2

    0 items

    Links to Vibe Coding Materials

    1 item

    Homework for Module 3

    0 items

Free resources

Schedule

Live sessions

2 hrs / week

    • Fri, Mar 6

      4:00 PM—6:00 PM (UTC)

    • Fri, Mar 13

      3:00 PM—5:00 PM (UTC)

    • Fri, Mar 20

      3:00 PM—5:00 PM (UTC)

    • Fri, Mar 27

      3:00 PM—5:00 PM (UTC)

Projects

1-3 hrs / week

Gen AI work on your product

Async content

1 hr / week

Read and watch videos on AI Product Management

Testimonials

  • The class conducted by Anil was extremely interactive. The handbook/playbook he gave all the participants was very useful. The activities were fun & full of learning. He went the extra mile of making sure all our questions were answered during and after the class. So, I thoroughly enjoyed it.

    Testimonial author image

    Kruti Shah

    Product Management Professional
  • The class was excellent and the trainer did a fantastic job! I really enjoyed the interactive classic experience and Anil tailoring the class based on the students’ needs. If you’re looking for a product manager class, I definitely would recommend this one!

    Testimonial author image

    Rachel Ebert

    Product Manager

Frequently asked questions

$650

USD

Mar 6Mar 27
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