Computational Thinking first
Students learn how to break problems down, spot patterns, design algorithms, and reason with data — the foundation behind every AI system.
Explore AI Knowledge and Embrace the Future
The AI Olympiad is designed for students in grades 5–12. It provides an opportunity to explore your AI knowledge and embrace the language of the future. Students compete within their grade level to ensure fair competition among peers.
Outcomes of AI Olympiad
- Learn AI concepts and skills to become future-ready
- Gain national recognition and certificates
- Win medals and trophies as top-ranking participant
- Showcase projects to industry experts
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States Participating
Students across India are joining this national AI competition.
CT and AI ·
Building Asia's CT & AI Innovation
The AI Olympiad is more than an exam. We prepare students with structured learning pathways in Computational Thinking (CT) and Artificial Intelligence (AI) — aligned with Asia's NEP 2020 goals and CBSE CT & AI curriculum for middle school, then progressing into programming, machine learning, and applied AI for senior grades.
AI with ethics
From everyday AI examples to fairness, bias, and responsible innovation — ethics is part of the syllabus, not an afterthought.
Two learning tracks
Grades 5–8 build CT through mathematics and age-appropriate AI. Grades 9–12 advance into Python, ML, deep learning, and projects.
Junior School Pathway
Built on the CBSE Computational Thinking and Artificial Intelligence student handbooks (2026–27) for Grades 5, 6, 7, and 8. Students get a unified interactive course — not four separate grade silos — organised by theme so every learner progresses through foundations, math-powered CT, and everyday AI.
How the Grades 5–8 course is structured
On the platform, learning follows a clear hierarchy: Course → Sections → Chapters → Lessons. Each chapter includes interactive HTML lessons (about 12–18 minutes each), optional hands-on Colab activities, and a chapter quiz (typically 10 MCQs). Progress unlocks as students complete lessons and quizzes.
- Grade 5 focus: CT through mathematics companion chapters (patterns, fractions, shapes, data, maps).
- Grades 6–8 focus: Deeper CT math + dedicated AI chapters (data, domains, industries, fairness, project lifecycle).
- Shared foundations: All grades start with the same CT pillars, NEP alignment, and platform orientation.
Core course sections (Grades 5–8)
01
Foundations — CT & AI
What CT and AI are, why they matter under NEP 2020, and how to use the course platform.
02
Number Sense, Patterns & Logic
Place value, patterns, primes, divisibility, and logic puzzles that train algorithmic thinking.
03
Fractions, Decimals & Ratios
Equal parts, decimals, proportional reasoning, and distribution puzzles.
04
Geometry, Symmetry & Measurement
Angles, shapes, constructions, distance, weight, time, and spatial reasoning.
05
Data, Maps & Visual Problem Solving
Pictographs, data handling, maps, area puzzles, and optimisation challenges.
06
AI in Everyday Life
Everyday AI, data concepts, pattern recognition, ethics, domains, and industries.
An optional Ultimate add-on extends Grades 5–8 with advanced number systems & algebra, data science & AI ethics, and AI projects with responsible innovation.
Senior School Pathway
For high-school students, the pathway shifts from CT foundations into modern programming, mathematical prerequisites, machine learning, deep learning, computer vision, NLP, generative AI, and applied project design — matching the Comprehensive AI & Programming Syllabus used for Olympiad preparation.
How the Grades 9–12 course is structured
Senior learners follow the same platform format — sections → chapters → lessons → quizzes — with longer, more technical lessons, Python coding in Colab notebooks, and progressively harder assessments. The Core track covers essential AI & programming; Ultimate Preparation unlocks advanced depth for competitive readiness.
Core syllabus sections (Grades 9–12)
01
Modern Programming with Python
Syntax, data types, operators, lists, tuples, strings, and practical coding habits.
02
Math for Learning AI
Linear algebra, probability, statistics, and the math that demystifies how models learn.
03
Machine Learning Fundamentals
Supervised & unsupervised learning, evaluation, and classical ML algorithms.
04
Introduction to Deep Learning
Neural networks, loss, optimisation, and training workflows.
05
Computer Vision
Images as data, CNNs, augmentation, and vision applications.
06
Natural Language Processing
Text representation, language models, and NLP pipelines.
07
Generative AI & LLMs
Large language models, prompting, and generative applications.
08
Applied AI, Ethics & Projects
Real-world project design, evaluation, and responsible AI practice.
Ready to start your CT & AI journey?
Register for the Olympiad and get access to grade-appropriate interactive courses, quizzes, and preparation resources.
State-wise Registration Leaderboard
Students from Maharashtra, Karnataka, Uttar Pradesh, Tamil Nadu, Telangana, West Bengal, Gujarat, Haryana, Rajasthan, Punjab, and many other states are joining Asia's premier AI competition.
Thousands of
Students Registered
What Students Say
Hear from Our Participants, Real Learning Stories
Discover how students like you are preparing for and participating in Asia's premier AI Olympiad competition.
"The mock tests and prep kit helped me understand AI concepts clearly. I felt confident on exam day — this is the best structured Olympiad prep I've tried."
"Registering was simple and the dashboard made practice easy to follow. My school friends and I are all competing on the national leaderboard now!"
"I loved how the exam tested real AI fundamentals — not just memorization. The journey from registration to results feels well thought out for students."
"The mentors and study resources are excellent. Even as a first-time Olympiad participant, I knew exactly what to prepare and when the exam was happening."
Knowledge Partner
Amrita Vishwa Vidyapeetham
AI Olympiad is powered by Amrita Vishwa Vidyapeetham — India’s multi-campus, research-intensive university accredited NAAC A++. Founded by Sri Mata Amritanandamayi Devi (Amma), Amrita unites scientific excellence with compassion, bringing university-grade AI literacy to schools for students in grades 5–12.
Rankings & recognition
- NAAC A++ — highest grade
- Among India’s top universities (NIRF)
- THE Sustainability Impact Rankings — #37 in the world (2026)
- 31,000+ students · 2,150+ faculty · 300+ programs
AI & computing strength
- B.Tech / BCA in Artificial Intelligence & Data Science
- CSE (AI), Robotics & AI, Cybersecurity tracks
- M.Tech in AI, ML & Data Science
- Interdisciplinary AI across medicine, media & management
Compassion-driven impact
- Live-in-Labs® — community-embedded research
- Outreach across 2,800+ villages in India
- 500+ research projects · 150+ patents · 35,000+ publications
- Education for life — technology that serves people & planet
Supporting schools
- Junior track (grades 5–8): Computational Thinking & AI awareness
- Senior track (grades 9–12): programming, data & applied AI
- Ethics and responsible innovation in every pathway
- Ten campuses from Amritapuri to Haridwar & Nagercoil