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Foundational & Classical ML · Neural Networks & Deep Learning · Computer Vision · NLP & Audio
Learn machine learning fundamentals, neural networks, and ethical AI deployment through practical project challenges.
The Artificial Intelligence ladder, level by level — what each round looks like, when it happens, and what to study.
There is no district round, but Round 1 is a nationwide online preliminary (AION: 100 MCQ in 60 minutes, AI-graded, live-proctored) — a speed test, unlike IOAI itself (6 notebook tasks × 100 pts over 2 days).
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Facts verified from 1 published source · last updated 2026-10-24
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Curated resources for Artificial Intelligence.
The Artificial Intelligence library is being curated
We only publish links a person has opened and checked. While that happens, you can already see the exam ladder, the official syllabus and the topic map below.
Real competition papers, grouped by round and year. Print one and sit it like the real exam.
No past papers published yet
What is examined in the Artificial Intelligence Olympiad, round by round. Tick items as you revise, or print this page as a checklist (ticks are not saved).
Syllabus coming soon
The official Artificial Intelligence syllabus is being transcribed and verified. Meanwhile, explore the topic map below.
Once you've grabbed the materials, explore how the topics connect and chart your preparation.
Every official Artificial Intelligence topic, placed on the round that examines it first.
Pick a topic to filter the study materials and past papers down to just that area.
⚠ No Nepali material — self-study required
IOAI Syllabus 2026 §1. Sub-topics pending ai.md.
⚠ No Nepali material — self-study required
IOAI Syllabus 2026 §2. Sub-topics pending ai.md.
⚠ No Nepali material — self-study required
IOAI Syllabus 2026 §3 — first-class in IOAI (unlike the old site taxonomy). Sub-topics pending ai.md.
⚠ No Nepali material — self-study required
IOAI Syllabus 2026 §4 — first-class in IOAI. 'Probabilistic Models' removed: it is not in the IOAI syllabus. Sub-topics pending ai.md.
A representative problem from Artificial Intelligence.
Featured problem coming soon
We verify every statement against an official source before it appears here. No fabricated problems ship to production.
Draft stages — real dates and actions are being transcribed from the official notices.
Build core concepts from your school syllabus before touching Olympiad-level problems. Focus on accuracy over speed.
Outcome — Confident with fundamentals
Work through Olympiad problems by topic. Start recognising the patterns that sit behind the problems.
Outcome — Topic-level fluency
Tackle multi-concept and proof-based problems. Develop rigorous, competition-grade arguments.
Outcome — Solves hard problems
Attempt full-length past papers under real timing. Build stamina and exam temperament.
Outcome — Exam-ready speed
Final refinement. Light practice, weak-area review, and peak taper before the national round.
Outcome — Compete at nationals
Official contacts for the Artificial Intelligence Olympiad, and the content gaps we are working to fill.
National organiser
The Artificial Intelligence gap register is being compiled from the research file.
Pick a topic, follow the constellation, and start building toward the Artificial Intelligence national round.