Yessenov 01 AI School — AI School for Yessenov Students
Yessenov 01 AI School
Yessenov 01 AI School

Programming and AI
right on campus

Peer-to-Peer learning
Peer-to-Peer learning

No lectures, no grades —
only real projects

Yessenov Technopark · 2nd floor
Yessenov Technopark · 2nd floor

Free for all
Yessenov students

Piscine · 4 weeks
Piscine · 4 weeks

4 weeks of intensive coding —
your entry ticket

50+ projects
50+ projects

Knowledge map:
from Hello World to AI

01 EDU platform
01 EDU platform

The same methodology
as Tomorrow School and 42

Python · ML
Peer-to-Peer
JavaScript · Web
Free for YU students
AI · Data Science
Technopark · 2nd floor
Golang · Backend
01 EDU platform
Cybersecurity
No experience · No lectures
Python · ML
Peer-to-Peer
JavaScript · Web
Free for YU students
AI · Data Science
Technopark · 2nd floor
Golang · Backend
01 EDU platform
Cybersecurity
No experience · No lectures
About the school

Our campus —
your starting point

Yessenov 01 AI School operates at Yessenov Technopark using the 01 EDU methodology. It is not a course — it is a learning environment where students teach each other.

Yessenov Technopark — Yessenov 01 AI School
Yessenov 01 AI School
Yessenov Technopark · 2nd floor
Aktau, Kazakhstan
Advantages

Why learning here
is different

🤝

Peer-to-peer

No teachers — only students. You teach others and learn from them. A proven method.

🆓

Free

Completely free for Yessenov students. No fees and no hidden conditions.

🗂️

Projects only

No lectures or notes. You build real projects from day one.

⏱️

Your own pace

The knowledge map lets you move as fast or as slow as you need.

📍

On campus

Technopark, 2nd floor. No need to travel — the school is right at your university.

🏅

01 EDU certificate

On completion — a certificate from an international platform and a portfolio of real projects.

Study programme

Your path
from zero to AI

Four stages. You start with logic games and finish as a specialist with a portfolio.

Stage 01 ~90 minutes
SELECTION · GAMES

Logic games

No experience or diploma is needed to apply. Complete two short games on the platform — they test potential and creative thinking, not knowledge.

LEVEL 1
🧠

Memory

A 5-minute visual memory warm-up. An easy start.

LEVEL 2
🧩

Zzle

A 90-minute quest on logic and creative thinking. The main filter.

Stage 02 4 weeks
PISCINE · INTENSIVE

Piscine

An intensive 4-week selection stage on campus. Candidates “sink or swim” — the best are selected for the main programme.

Over 4 weeks, candidates face three types of tasks:

QUEST

A series of tasks completed individually. Everyone works on their own.

CHECK

Friday exams, 4–6 hours, offline. Participants test what they learned during the week.

RAID

Group projects — teamwork and sharing ideas. Assessed by the technical team.

  • At least 30 hours a week on campus
  • 120–150 participants per intake
  • The top 2–5% of candidates are selected
  • Peer review of work between participants
Stage 03 18 months
CORE TRAINING

Knowledge map

A gamified task map — each completed project unlocks the next level. Python, JavaScript, Golang, algorithms, databases, AI tools. 50+ projects.

  • At least 20 hours a week — at a time that suits you
  • 50+ projects of varying difficulty
  • Hackathons and meetups at Yessenov
  • Cross-review — you teach and learn at the same time
Knowledge map · Sample progress
Hello World
Variables
Conditions
Loops
Functions
⚡ Arrays
Recursion
OOP
Algorithms
Databases
API
Web project
AI tools
ML project
🏆 Specialisation
Stage 04 6 months
SPECIALISATION · TRACK

Choose your track

A deep dive into one area. Real cases together with Yessenov's Faculty of Computer Science and AI. On completion — a 01 EDU certificate and a portfolio for employers.

  • AI / Machine Learning
  • Cybersecurity
  • Web / Fullstack Development
  • Data Science
  • IoT and automation
Specialisations

Specialisation
tracks

After core training you choose an area and go deep into it.

🤖
Artificial Intelligence
ML, neural networks, applied AI projects with Yessenov data.
🔐
Cybersecurity
Application security, ethical hacking, network security.
🌐
Web / Fullstack
Frontend, backend, API — you build products end-to-end.
📊
Data Science
Data analysis, visualisation, applied analytics.
📱
Mobile Dev
Mobile apps: iOS, Android, cross-platform.
⚙️
IoT / Automation
Smart devices, sensors, cloud and industrial IoT.
Admission requirements

Who can
apply?

The school is open only to Yessenov students of any major.

✅ Required

  • Be a Yessenov University student
  • Complete the logic games on the platform
  • Complete the Piscine — 4 intensive weeks
  • Be ready to study 20+ hours a week
  • Be willing to work in a team

🚫 Not required

  • Programming experience
  • A related major
  • Diplomas and certificates
  • Payment — it's free
  • Attending boring lectures
Questions and answers

FAQ

We use the same 01 EDU platform and P2P methodology. But Yessenov 01 AI School is our own campus for Yessenov students, in our Technopark — a branch adapted for YU students.
The Piscine is a 4-week entry intensive. You code non-stop, learn the P2P format and find out whether it is right for you. Final selection for the main programme is based on its results.
The school has a flexible format: at least 30 hours a week during the Piscine and 20+ hours a week in the main programme. Many students combine both successfully.
Yes. Students from any Yessenov faculty — philologists, lawyers, engineers, maritime specialists. What matters is motivation and passing the games.
A 01 EDU certificate, a portfolio of 50+ real projects and team development experience — skills IT employers value.
Yessenov Technopark, 2nd floor — right on the university campus in Aktau.

Ready to start?

Pass the games — get into the Piscine — become a developer.

APPLY NOW