Artificial Intelligence Olympiad
Understanding and reasoning about AI — how it thinks, where it helps, and how to question it. As children grow up alongside AI in classrooms, apps and everyday life, IGNITIA's Artificial Intelligence Olympiad — among the first of its kind in India — helps them build the critical thinking to use it wisely, not just use it.
No payment for the mock test. Enrol for just ₹299 whenever you're ready.
What the Artificial Intelligence Olympiad Actually Tests
Not coding. Not technical jargon. Age-appropriate reasoning about AI.
How AI Thinks
Age-appropriate understanding of how AI systems make decisions.
Where AI Helps
Recognising real-world AI use in the apps and tools around them.
How to Question AI
Critical thinking — not blind trust in whatever AI answers.
Pattern & Data Basics
The foundational reasoning skills that AI itself relies on.
Thinking Safely & Ethically About AI
Age-appropriate awareness of AI's limits, risks and responsible use.
A Clear Report, Not a Rank
A percentage-based report showing exactly what your child knows.
Difficulty That Grows With Your Child
The same exam philosophy, scaled to where your child actually is.
Foundation
Noticing AI in everyday life — voice assistants, recommendations and simple patterns — framed as questions a young learner can reason through, not technical concepts to memorise.
Intermediate
Reasoning about how AI systems make decisions, spotting where AI helps and where it can go wrong, and starting to question AI-generated answers rather than accepting them at face value.
Advanced
Independent, critical reasoning about AI's role and limits — evaluating AI outputs, understanding bias and reliability, and thinking through where human judgement still matters most.
Class-Wise Syllabus, Class 3 to Class 10
Tap a class to see exactly what's covered — no surprises on exam day.
- What Is AI? — everyday examples: voice assistants, recommendation screens, smart toys
- Smart vs. Simple Machines — spotting the difference between a device that "thinks" and one that doesn't
- Where AI Lives — apps, gadgets and games children already use
- Sorting & Grouping — the basic pattern skill behind how AI organises information
- Following Instructions — step-by-step thinking, the building block of any AI "recipe"
- Right or Wrong Guesses — noticing when a smart device gets something wrong
- Being Safe Online — simple, age-appropriate rules for using smart apps
- How AI "Learns" — a simple, non-technical picture of learning from examples
- Data as Clues — how information given to AI shapes what it "knows"
- Recognising Patterns — shapes, sequences and simple number/picture patterns
- AI That Sees & Hears — image and voice recognition in everyday apps
- Helpful or Not? — judging whether an AI suggestion actually makes sense
- Robots Around Us — where automation shows up at home and in public places
- Being Kind Online — basic digital etiquette when using AI-powered apps
- Rules an AI Follows — introducing the idea of an algorithm as a set of steps
- Sequencing Tasks — arranging steps in the correct order to reach a goal
- Sorting Information — grouping data by size, type or category
- AI in Everyday Apps — maps, search bars and shopping suggestions
- Spotting Mistakes — why an AI tool might give a wrong or odd answer
- Fair or Unfair? — a first look at why some AI suggestions can be biased
- Introduction to Block Coding — first steps with a Scratch-style drag-and-drop interface
- Being a Safe AI User — privacy basics: what not to share with an app
- How Machines "Decide" — if-this-then-that thinking behind simple AI decisions
- Training Data, Simply — how examples shown to an AI shape its answers
- Text, Image & Voice AI — telling apart the different kinds of AI tools
- Cause & Effect in Data — reading simple charts and spotting trends
- Scratch Coding Basics — loops and conditionals in a block-coding environment
- When AI Gets It Wrong — everyday examples of AI mistakes and why they happen
- Questioning an Answer — checking an AI-generated answer instead of accepting it
- Digital Footprint — what information apps collect and why it matters
- Rules vs. Learning-Based AI — the difference between fixed rules and pattern-based systems
- Recommendation Systems — how apps guess what you'll like next
- Reading Simple Datasets — tables, averages and basic data interpretation
- Intro to Python Thinking — variables and simple sequences, explained conceptually
- Bias in Everyday AI — why an AI trained on limited examples can be unfair
- AI in Real Life — healthcare, transport and communication use-cases
- Fact-Checking AI Answers — cross-checking information instead of trusting it blindly
- Online Safety & AI — deepfakes, scams and spotting AI-generated content
- How Predictions Work — a conceptual look at pattern-based predictions
- Data Quality Matters — why "garbage in" leads to "garbage out"
- Python Basics — reading and tracing simple, beginner-level Python snippets
- Classifying Information — grouping data into categories, the way an AI model might
- Strengths & Limits of AI — tasks AI does well versus tasks it struggles with
- Ethics of AI Use — plagiarism, over-reliance and academic honesty
- Evaluating Sources — telling a reliable AI-generated answer from an unreliable one
- Careers & AI — how AI is changing everyday jobs and skills
- Machine Learning, Conceptually — how a model improves from data without being explicitly programmed for every case
- Understanding Bias & Fairness — how biased training data leads to biased outcomes
- Python for Reasoning — reading and completing short logic-based Python programs
- Reliability of AI Outputs — confidence, accuracy and when to double-check an answer
- Generative AI, Explained — how tools that write or draw actually generate content
- Privacy & Data Rights — what happens to data collected by AI-powered apps
- AI & Society — jobs, misinformation and the responsibilities of AI users
- Case-Based Reasoning — analysing real scenarios where AI helped or went wrong
- Evaluating AI Models — accuracy, error and why no model is ever perfect
- Human Judgement vs. AI — deciding where a human should stay in the loop
- Applied Python Logic — tracing multi-step Python logic used in simple AI tasks
- Bias, Ethics & Regulation — a first look at how societies are responding to AI risks
- AI in Critical Systems — healthcare, finance and safety-critical use-cases
- Explainability — why understanding "how" an AI decided matters, not just "what" it decided
- Misinformation & Deepfakes — advanced techniques for verifying AI-generated content
- Independent Case Study — applying everything learned to a real-world AI scenario
Every class builds on the one before it — topics revisited each year go deeper, not just repeat.
Take It the Way That Works for Your School
Offline, At School
Conducted at school, coordinated through your school's exam cell — no individual booking needed.
Online, AI-Proctored
Appear individually from home — proctored by AI, so your school doesn't have to run it for you.
Artificial Intelligence Olympiad · Enrolment Fee
The same flat fee across every Academic Olympiad and Skills Lab subject. No slabs, no surprises — and a free mock test before you commit to anything.
Four Steps, Starting Free
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Enrol for ₹299
Choose offline (school) or online, AI-proctored.
Appear & Get Your Report
A percentage-based report, certificate, and medal for qualifiers.
Start With the Free Mock Test
No payment needed to try it. Enrol for the full Artificial Intelligence Olympiad — ₹299 — whenever you're ready.
- ✓ One free mock test, no cost
- ✓ Flat ₹299 to enrol in the full exam
- ✓ Offline at school, or online with AI proctoring
- ✓ Percentage-based report, not a percentile rank
- ✓ Certificate for every student, medals for qualifiers
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Recognition That Doesn't End at the Result
Medals for Winners
Students who meet the medal-qualifying criteria are recognised with a medal.
Certificate for Every Student
Every child who appears receives a participation certificate.
Recognition for Schools
Principals and coordinators receive mementos, plus digital PR and social recognition.
Artificial Intelligence Olympiad, Answered Directly
Understanding and reasoning about AI — how it thinks, where it helps, and how to question it. Built for Classes 3–10 as part of IGNITIA's Complete Skills Lab and examined as a full Olympiad subject, not just a knowledge resource.
A flat ₹299 for the Artificial Intelligence Olympiad, the same fee across every Academic Olympiad and Skills Lab subject. A free mock test is included so you can try it before enrolling.
Yes — the online mode is AI-proctored and can be taken individually from home. The offline mode is conducted only at school, coordinated through your school's exam cell.
IGNITIA's Artificial Intelligence Olympiad is among the first of its kind in India — one of the first Olympiad exams in India to examine Artificial Intelligence understanding as a full subject, not just a knowledge resource.
Skills Lab subjects, including Artificial Intelligence, are designed and examined for Classes 3–10. Our five Academic Olympiad subjects — Mathematics, Science, English, General Knowledge and Logical Reasoning — remain open from Class 1.
A percentage-based performance report (not a percentile rank), a certificate, and a medal for students who meet the medal-qualifying criteria — plus bonus mock tests you can retake through the year.