The most complete engineering program for the AI era, built to reflect exactly what the market demands from engineers today.
Part 1 (5 months): AI-Assisted Product CreationPart 2 (5 months): AI-Native Product EngineeringPart 3 (2 months): Hands-On Project Development
5-12 months
4-5 days a week, 2-3 hours each lesson 
September 2026
69.000 AMD / month
A flyover of computer science, cost-and-complexity intuition, fluency across C, Python and JavaScript, and how systems and networks actually connect — the base everything else stands on.
Building the right thing. Strategy and the problem space, the product lifecycle, UX and prototyping, system design and architecture, and how modern AI-empowered engineering teams actually operate.
The capstone. You take one real product from a blank page to a live, monitored, portfolio-ready build — validating the problem, designing the architecture, implementing backend and frontend, hardening it, shipping it to production, and finally defending your engineering under questioning.
What software is, how computers and hardware run it, how to set up and drive a real developer's environment, and how modern AI actually works — ending in your first hands-on agentic development.
Where it becomes real. Plan products the way agents can build them, generate full applications across web, mobile, and desktop, run a deep QA discipline, then ship — backend, security, deployment, and continuous iteration.
The deep engineering that makes you complete. The machine underneath, computer-science foundations, concurrency, software and AI-application architecture, system communication, and a deep data layer for AI — everything a serious product engineer never outgrows.
The graduation ceremony and demonstration of a complete product created by students.
What software is, how computers and hardware run it, how to set up and drive a real developer's environment, and how modern AI actually works — ending in your first hands-on agentic development.
A flyover of computer science, cost-and-complexity intuition, fluency across C, Python and JavaScript, and how systems and networks actually connect — the base everything else stands on.
Where it becomes real. Plan products the way agents can build them, generate full applications across web, mobile, and desktop, run a deep QA discipline, then ship — backend, security, deployment, and continuous iteration.
Building the right thing. Strategy and the problem space, the product lifecycle, UX and prototyping, system design and architecture, and how modern AI-empowered engineering teams actually operate.
The deep engineering that makes you complete. The machine underneath, computer-science foundations, concurrency, software and AI-application architecture, system communication, and a deep data layer for AI — everything a serious product engineer never outgrows.
The capstone. You take one real product from a blank page to a live, monitored, portfolio-ready build — validating the problem, designing the architecture, implementing backend and frontend, hardening it, shipping it to production, and finally defending your engineering under questioning.
The graduation ceremony and demonstration of a complete product created by students.
AI and the IT industry
Career Development and Product Creation
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