Co-founder @ Lovelaice, Product Leader
Founder @Lovelaice | 14+ years in Tech

Everyone's talking about AI. Your stakeholders want it. Your competitors are shipping it.
But most PMs are stuck between two extremes: either waiting for engineering to figure it out, or shipping features that fail in production because they only tested on two happy cases.
There's a better way.
This course teaches you a systematic methodology for building AI features that actually work - before you write a single line of production code.
You'll learn how to test prompts across multiple models, evaluate results like a pro, and make data-backed decisions about what to ship.
This isn't theory.
You'll run real experiments on your own product ideas using the same approach that's helped teams catch critical failures before their customers did, discover that cheaper models often outperform expensive ones, and ship AI features with confidence instead of crossed fingers.
By the end of 4 weeks, you'll have the skills, the methodology, the tools and the hands-on experience to lead AI initiatives at your company - not just participate in them.
By the end of 4 weeks, you'll have the skills, the methodology, the tools and the hands-on experience to lead AI initiatives at your company
Learn all about system prompts, parameters, model differences.
How to cut through the LinkedIn hype and test what actually works
Why the traditional "ship then optimize" playbook fails for AI, and what to do instead
Model selection strategy: why the newest, most expensive model isn't always the best choice
How to work with engineering without the copy-paste nightmare
How to build a business case for AI features using real experiment data
You want to be in the top 5% of PMs who actually understand how to build with AI
You're tired of waiting for engineering to lead AI initiatives.
You feel pressure to "do something with AI" but don't know where to start
You've shipped an AI feature but aren't confident it's working well (or your customers are finding the bugs)
Live sessions
Learn directly from Madalina Turlea & Catalina Turlea in a real-time, interactive format.
Build your AI features using the same framework we use
Hands-on AI product feature building, LLM benchmarking, building AI expertise for your domain.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
4 live sessions • 21 lessons
Jan
16

AI product building vs traditional software development Core AI agent components
Set up the experiment for the AI feature Run experiment & evaluate AI responses Analyze results & make decisions
Live sessions
2 hrs / week
Fri, Jan 16
1:00 PM—2:00 PM (UTC)
Fri, Jan 23
1:00 PM—3:00 PM (UTC)
Fri, Jan 30
1:00 PM—3:00 PM (UTC)
Fri, Feb 6
1:00 PM—3:00 PM (UTC)
Projects
3 hrs / week
Build your own AI features in class
Async content
2 hrs / week
I love the amazing sessions with Cata and Mada from Lovelaice. Me and my company are building a framework to develop prototypes and web applications with the help of AI. Being a non-technical person, I try to catch up with the developers of my team and that's where the workshops come into the picture. They help me a lot to understand a little bit more from the AI world week by week. Thank you girls so much!

Reka
When I enrolled in this series, I didn’t expect to gain such a clear, structured approach to working with AI. It opened my eyes to the importance of systematic testing; no more half-baked prompt experiments or guesswork. Thanks to the lessons, I picked up practical techniques that helped me separate hype from real performance, and gave me a playbook I can apply confidently. I now approach AI testing methodically, and I feel far more equipped to judge what works and what doesn’t. This series truly shifted the way I work with AI, and I’d recommend it to anyone serious about getting real, reliable results.

Barbara
Each session takes us deeper into the advantages of AI, from experiment evaluation to exploring how different models behave. I enjoy how your passion and clear explanations make prompt engineering, practical tips, and even industry insights so easy to understand. Learning from you both is a pleasure.

Maria
I always enjoy the sessions. I feel like even if I think I understand everything, every time feels like there is an aha moment.
Furthermore, I also like how relatable the experiments are and how interesting and useful the results always are.

Pavlina