AI Product Experimentation

8 days

·

Cohort-based Course

Learn why building AI requires a completely different approach than traditional software, and get hands-on experience how to experiment.

Teleclinic
Nilo
Printify
Finastra

Course overview

From AI Confusion to AI Confidence

Move from implementing AI just to say you have it, to building AI features that genuinely improve user experiences and solve real problems.

You become the people others come to for AI guidance - not because you claim to be experts, but because you have a proven methodology that works.


Perhaps most importantly, lose the fear of AI's unpredictability. Instead of seeing inconsistency as a roadblock, see it as part of the process.

Become comfortable with the iterative nature of AI development and excited about the creative possibilities that systematic experimentation unlocks.

Who is this course for

01

Product Managers who feel lost in technical AI conversations and struggle to define requirements or evaluate performance.

02

Domain Experts and Subject Matter Experts who understand business problems deeply but don't know how to translate that knowledge into effect

03

You're often excluded from AI implementation discussions despite having critical insights about what "good" results look like. 

What you’ll get out of this course

Learn Systematic AI Experimentation

You'll learn to test multiple models and prompt variations simultaneously rather than betting everything on one approach. You'll have a proven framework for making data-driven decisions about AI performance instead of relying on guesswork.

Translate Domain Knowledge into AI Success

You'll know how to convert your expertise into effective AI instructions and evaluation criteria that technical teams can implement. You'll become an active contributor to AI product development rather than a passive observer.

Understanding why experimentation is key for AI success

You'll grasp the fundamental difference between deterministic traditional software and non-deterministic AI that produces different results from the same input. You'll understand why consistent AI results require continuous experimentation rather than one-time setup

Implement a systematic experimentation for a sample AI Agent

You'll hands-on experience building and testing an email classification agent across 3 prompt variants and 4 different models simultaneously. You'll learn to evaluate test combinations systematically, analyze performance metrics and make objective decisions for your AI Agent

What’s included

Live sessions

Learn directly from Catalina Turlea & Madalina Turlea 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.

Access to our custom AI Evaluation Platform

You'll get access and an exclusive discount to Lovelaice, the experimentation platform we are building and using in this class.

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

Nov 26—Nov 30

    Introduction to AI product building

    3 items

Week 2

Dec 1—Dec 3

    Dec

    1

    AI Experimentation Live Workshop

    Mon 12/11:00 PM—2:00 PM (UTC)

    Tips and tricks

    2 items

Bonus

    Pro-tips and resources

    2 items

What people are saying

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Meet your instructor

Catalina Turlea

Catalina Turlea

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Madalina Turlea

Madalina Turlea

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AI Product Experimentation

Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    1:00pm - 2:00pm EST

    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

  • May 7, 2022

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  • Weekly projects

    2 hours per week

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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

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AI Product Experimentation