The Algerian Olympiad in Artificial Intelligence
AOAI Mission
The Algerian Olympiad in Artificial Intelligence (AOAI) aims to identify, train, and empower the nation’s most talented young minds in AI, preparing them to represent Algeria at the International Olympiad in Artificial Intelligence. Through rigorous selection, mentorship, and innovation-driven learning, AOAI fosters excellence and inspires the next generation of AI leaders.
Why Join Us ?
Math
Strengthen your AI-ready math skills.
Programming
Learn to code smart solutions.
Problem Solving
Think critically, solve creatively.
Upcoming Events
Pre-Selection Test
Summer STEM Camp
Post-Camp Evaluation
Round One
Round Two
Team Selection Test
Official Selection Process
The Algerian Olympiad in Artificial Intelligence (AOAI) selection process is designed to identify, train, and prepare the most promising students to represent Algeria at the international level, particularly at the International Olympiad in Artificial Intelligence (IOAI).
Our program is structured into three progressive phases, combining foundational preparation, advanced training, and final team selection.
Throughout the entire process, we will strictly follow the official IOAI syllabus, ensuring that students are trained according to international standards.
Note that Dates and scheduling may change depending on official academic calendars and announcements by the Ministry of Education.
Summer STEM Camp (Online)
Period: Summer holidays (before the start of the academic year)
The first phase, called the Summer STEM Camp, is a nationwide online training program designed to build strong foundations.
Eligibility
- Open to ANY Algerian student
- Students who have not yet passed their BAC exam
- Accessible from all regions of Algeria
We aim to make this initiative as nationwide as possible, in collaboration with the Ministry of Education.
Format
- Training on our Discord server
- Live sessions on Google Meet
- Recorded lectures on the YouTube channel
- Structured assignments and exercises
Curriculum
Participants will study:
Programming Foundations
- Python basics
- Problem solving
- Algorithmic thinking
Mathematical Foundations
- Linear Algebra
- Calculus
- Probability & Statistics
Introduction to AI Tools
- NumPy
- Pandas
- Introductory overview of Machine Learning using Scikit-learn
Consider the following roadmap for a better overview of resources :
Download PDF RoadmapEnd-of-Phase Examination
At the end of the Summer STEM Camp, participants will take an online qualifying test composed of two parts :
- Mathematics test
- Implementation & problem-solving test (Python)
Advanced Training & Progressive Selection
Period: During the academic year (longest phase)
This is the core and longest stage of preparation.
Continuous Training
- Structured lectures and problem sets
- Carefully selected problem sets
- Guided practice using curated resources
- Gradual exposure to competition-style problems
Curriculum Progression
- Machine Learning techniques
- Deep Learning fundamentals
- Computer Vision (CV)
- Natural Language Processing (NLP)
All content remains aligned with the official IOAI syllabus.
Selection Rounds
During this phase, several selection rounds will be organized:
- Increasing in difficulty
- Covering progressively more advanced material
- Designed to resemble Olympiad-style problems
These rounds may be:
- Online
- Hybrid ( Online + On-site camps )
On-site camps are planned to take place at the National Mathematical High School — Kouba The number of rounds and students selected in each round will remain flexible depending on the total number of participants , overall performance levels and also National and academic constraints while some rounds may also serve to select teams for intermediate competitions such as the African Olympiad in Artificial Intelligence
Final Team Selection (TST)
Period: End of the academic year
The final stage is an On-site Team Selection Test (TST).
Format
- Held on-site at the National Mathematical High School — Kouba
- Conducted in the exact format of the IOAI
- Designed to simulate real competition conditions
Our Expert Coaches
Learn from the best minds in Algerian AI
Ilyes Mohammed LAKHAL
Head Coach
Research Fellow in computer vision and Deep learning
Mohammed Hachem DRICI
Coach
Computer Science Student in in UEHL
Raouf OULD ALI
Coach
AI student in ENSIA
Zakaria HAMMAL
Coach
Computer Science Student in USTHB
Ali BEN CHIKH
Coach
Graduate in Applied Mathematics University of Tamanghasset
Mohammed Al Ghazali MEGHABBER
Coach
AI Student in ENSIA
Zakaria Ahmed LAHCINE
Coach
Electrical Engineering Student in INELEC
Redhouane ABDELLAH
Coach
IOI participant, computer science student at esi-sba
Rayan OUALI
Coach
2CP, ENSIA
Our Ambassadors
Meet our dedicated AI ambassadors across Algeria
Merouane Debah
Director of the KU 6G Research center
Professor at Khalifa University
Our Valued Sponsors
Supported by leading organizations in AI and technology
Platinium Sponsors
