Learning Plan
A step-by-step path from basics to a professional portfolio. Complete lessons and track progress.
1
Product Discovery & Prompting: Stop Generating Garbage
Learn how to use AI to uncover real customer pain points. Stop yourself from jumping into code before the problem is fully understood.
How to Stop Being Just a Code Monkey
Theory
Anatomy of a Product Prompt: Deconstructed
Theory
From User Story to Architecture: Designing Without Code
Theory
Protection Against Over-Engineering
Theory
Iterative Prompting (Chain of Thought): Narrowing the Funnel
Theory
Deconstructing the Elephant: Breaking Down Tasks for AI
Theory
Context Management: Injecting Project Knowledge into AI
Theory
2
UX without a Designer: How Not to Design Like It's 1999
Use AI to create clean, modern interfaces. From structure down to Tailwind classes.
Structure Before Pixels
Theory
Tailwind and Design Systems: Taming the AI
Theory
Designing States: Forcing AI to Think About Empty
Theory
Microinteractions: Bringing the Interface to Life
Theory
Accessibility (A11y) Out of the Box: Why You Need It
Theory
Dark Mode and Color Hierarchy
Theory
Responsiveness Without Tears: Mobile First with AI
Theory
3
Code & Implementation: Writing Code Without Spaghetti
How to force AI to write clean, modular, maintainable code instead of 500-line functions.
4
SEO & Copywriting: Writing for Humans and Algorithms
How to use AI to create proper semantic structure, meta tags, and human-like text that Google will love.
5
Capstone & Selling: Packaging the Result
Putting it all together: from idea to deployment. And most importantly — how to sell your ability to use AI to an employer or client.
To be continued
We are constantly updating the program. Stay tuned for new modules and topics.