Follow the product development process, demystified
The sequence product teams use to get from idea to launch, explained in plain English. You'll know what to do first and which steps you can safely skip.

You have a product idea. It's probably been sitting in your notes app for months. The thing you're missing is a process: the sequence professional product teams follow to test whether anyone wants something before they build it, then build it.
Marily Nika spent over 12 years building AI products at Google and Meta, and now certifies AI product managers through her AI Product Academy. In this course she teaches that process the way she'd explain it to a friend with no product background, and shows you the AI tools that now cover the work you'd otherwise have to hire for.
Across three live sessions, you'll take your own idea through the whole arc. By the last session you'll have a working prototype and real user feedback on it.
The sequence product teams use to get from idea to launch, explained in plain English. You'll know what to do first and which steps you can safely skip.
Use AI to research your market and your would-be customers, so you find out whether the problem is real before you spend money on it.
Go from concept to a clickable prototype with AI prototyping tools. You'll build alongside Marily during the sessions, and you won't write a line of code.
Put your prototype in front of actual people, figure out which feedback matters, and iterate. Most first-time builders skip this step. It's the one that finds product market fit.
The tools Marily uses for research, prototyping, and iteration, plus how to judge new ones as they appear so your toolkit stays useful after the course ends.
A link will be sent to your email after you reserve your spot.
We will focus on reliable inputs, instructions, projects, and repeatable setup.
Bring the AI workflows you are trying to make more dependable.
The raw replay can be made available before this becomes an on-demand course.

Marily Nika is the founder of the AI Product Academy, which certifies AI product managers. She spent over 12 years building AI products at Google and Meta, holds a PhD in machine learning from Imperial College London, and is a best-selling author, TED AI speaker, and fellow at Harvard Business School. She writes about AI in the AI Product Academy Newsletter on Substack.