Remote learning for web development with AI — structured, practical, globally accessible.

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Teskvral learning environment showing collaborative web development work
About Teskvral

Does building with AI feel like guessing in the dark?

Teskvral exists for developers who want real clarity — structured learning that connects modern web tools with practical AI integration, not just theory.

8+ Years active
14k+ Learners enrolled
38 Countries reached
Online course interface demonstrating AI-assisted web development lessons

A platform built from frustration, not from a whiteboard

In 2017, our founders struggled to find courses that taught web development alongside the tools that were actually reshaping the industry. Most material was either outdated or disconnected from real workflows.

Teskvral started as a direct response to that gap — a place where curriculum follows what developers genuinely need, updated as the field moves, not on a two-year publishing cycle.

Focus area Web development with AI integration
Delivery model Fully remote, asynchronous and live formats
Audience Intermediate to advanced developers globally
Language English — accessible to an international cohort
The people behind it

Four instructors, one shared standard

Each person on the Teskvral team maintains an active development practice alongside teaching. The curriculum reflects what they encounter in real projects — not what looked good in a slide deck six months ago.

Portrait of Artur Pelensky, Lead Instructor

Artur Pelensky

Lead Instructor — Full-Stack & AI Tools

Artur has been shipping production web apps since 2013. He built the original Teskvral curriculum and continues to revise it based on what breaks in real codebases.

Portrait of Dmytro Vasylchuk, Curriculum Lead

Dmytro Vasylchuk

Curriculum Lead — Frontend Engineering

Dmytro structures every module around a specific skill gap he's seen in code reviews. His lessons are known for being dense without being overwhelming.

OB

Oksana Bilyk

Instructor — API Design & Backend Patterns

Oksana focuses on the parts most courses skip: how services talk to each other, where AI integrations actually sit in an architecture, and why REST isn't always the answer.

VH

Vasyl Holovatyi

Instructor — DevOps & Deployment Workflows

Vasyl covers the final mile — CI/CD, containerisation, and getting AI-assisted tools into a repeatable deployment pipeline without the usual friction.

Background showing a developer workspace with multiple screens and code editors
How we teach

Structure that respects your existing knowledge

Teskvral courses assume you can already write code. The focus is on the decisions that come after — which AI tool fits which problem, and how to integrate it without introducing new complexity.

Modular course structure

Each module addresses one well-defined skill. You can work through a full track or pull out the modules relevant to a project you're already on.

Paced for working developers

Sessions are recorded and segmented into 12–20 minute blocks. No lesson assumes you have three uninterrupted hours — most people finish modules across a working week.

Reviewed against current practice

AI tooling moves quickly. Modules that reference specific APIs or libraries are reviewed every quarter and updated when the underlying tools change significantly.