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.
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.
Course overview
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.
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.
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
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.
Dec
1
Author name
Author name
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4-6 hours per week
Tuesdays & Thursdays
1:00pm - 2:00pm EST
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May 7, 2022
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Weekly projects
2 hours per week
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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