Validate Real Demand
Use AI-assisted research and real user conversations to identify pain points, willingness to pay, and product signals before building.
No Code Product Building: From Idea to Product-Market Fit with AI
Taught by Marily Nika
Go from idea to working product without a technical team. Marily Nika teaches the product development process, shows how AI replaces work you would otherwise hire for, and gives you a practical path to a working prototype with real user feedback.
What you'll learn
Define Focused Requirements
Turn validated insights into a prioritized PRD that clarifies users, use cases, success metrics, and the smallest valuable feature set.
Review With AI Agents
Set up product, customer, engineering, and risk reviewers to pressure-test assumptions, scope, privacy, feasibility, and overpromising.
Prototype From Evidence
Generate and refine UI concepts from product requirements, then move selected screens into the right no-code or AI builder.
Separate Prototype From MVP
Use clickable prototypes to gather evidence while defining MVP tests around desirability, feasibility, business viability, and the riskiest assumption.
Measure Product Quality
Create rubrics and evaluation loops that score AI outputs for relevance, groundedness, completeness, safety, and hallucination risk.
Course curriculum
2 parts · 13 chapters
About Marily Nika
Founder of AI Product Academy
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.
