India's Biggest
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India's pioneering AI exam for school students.
STEMLearn.AI is India's pioneering platform for school-level AI education and assessment. Our AI Olympiad — conducted in association with IIIT Allahabad, COEP, and Techfest, IIT Bombay — is the nation's most credible AI literacy exam for students in Grades 3 through 10.
India's Most Credible AI Literacy Exam for Students
Everything You Need
to Know About the Exam
Grades Covered
Grade 3 to Grade 10 — 8 separate grade categories with age-appropriate content
Exam Window
October – November 2026. Specific dates communicated to registered schools/students
Exam Mode
Offline OMR-based examinations conducted on school campuses, alongside flexible online exams for individual students.
Duration
60 minutes — carefully timed to test knowledge without time pressure
Medium
English medium — clear, simple language appropriate for each grade level
Results
Declared within 4 weeks of exam. Check online with roll number + date of birth
Grade-wise AI Olympiad Syllabus
Meet AI Around Us
Discover AI in everyday life — smart speakers, apps, and devices that seem to "think" on their own.
Machines that Follow Instructions
How computers and machines work by following step-by-step instructions written by humans.
Finding Patterns
Spotting patterns in shapes, colours, numbers, and sequences — the building block of how AI learns.
AI Applications in Daily Life
AI in maps, music recommendations, face unlock, autocorrect — how AI quietly helps us every day.
Thinking Machines and Sensors
How machines sense the world around them using cameras, microphones, and temperature sensors.
Safe and Kind Technology Use
Staying safe online, being kind in digital spaces, and understanding screen time and privacy basics.
AI Learns from Data
What data is, where it comes from, and how machines use examples to learn and improve over time.
Patterns, Sorting and Decisions
Sorting objects, identifying categories, and how AI uses patterns to make simple decisions.
AI Applications Around the World
How AI is being used globally in healthcare, farming, transport, and education.
AI that Recognizes Images and Sounds
How AI identifies photos, faces, animals, and spoken words — and how it gets trained to do this.
Training Simple AI Models
Fun hands-on concept: teaching a machine to recognise things by giving it lots of examples.
Fairness and Responsibility in AI
Why AI should be fair, what happens when it makes mistakes, and who is responsible for AI decisions.
AI that Understands Language
How chatbots, voice assistants, and translation tools process and understand human language.
Asking Good Questions to AI
The art of prompting — how the way you ask a question shapes the answer AI gives you.
AI Applications in Communication & Entertainment
AI in streaming platforms, social media, gaming, and personalised content recommendations.
AI that Sees and Hears
Computer vision and speech recognition — how machines interpret images, video, and audio.
Creating and Designing with AI
Using AI tools for drawing, writing, music, and other creative tasks — a new kind of creativity.
Privacy, Safety and Responsible AI
Digital footprints, data privacy, online safety, and ethical use of AI-powered tools.
Introduction to Artificial Intelligence
Formal definition of AI, history, types of AI, and how it differs from traditional programming.
Basic Data Concepts
Types of data (text, numbers, images), structured vs unstructured data, and why data quality matters.
Simple Pattern Recognition & Decision Making
Decision trees, flowcharts, and how AI uses patterns in data to make choices.
Introduction to Computer Vision and Language AI
How machines read images and understand text — with real-world examples and tools.
Sensors, Robotics and Smart Automation
How sensors feed data to AI systems, and how robots and automated systems use AI to act.
Ethics and Digital Responsibility
AI bias, misinformation, digital wellbeing, and being a responsible digital citizen.
AI Domains and Applications
Overview of AI domains — computer vision, NLP, robotics, recommendation systems — and where each is used.
AI in Industries and Problem Solving
AI applications in healthcare, agriculture, education, finance, and smart cities across India.
Introduction to Data Science, Visualization and Analysis
Reading graphs, charts, and tables; understanding trends; making data-driven observations.
Computer Vision Systems
How AI detects objects, reads text in images, and enables facial recognition and autonomous vehicles.
Natural Language Processing Systems
How machines translate languages, summarise text, answer questions, and power chatbots.
Ethics, Bias and Digital Citizenship
Algorithmic bias, data privacy laws, AI accountability, and the responsibilities of AI creators and users.
Algorithms and Intelligent Decision Making
How algorithms work, sorting and search methods, and how AI uses algorithms to make smart decisions.
AI Domains and Intelligent Applications
Deep dive into AI applications across computer vision, NLP, autonomous systems, and recommendation engines.
AI Project Cycle – Building AI Solutions
Problem definition, data collection, model selection, testing, and presenting AI-powered solutions.
Data Analysis and Visualization
Working with datasets, creating charts, identifying patterns, and drawing insights from data.
Introduction to Machine Learning
Supervised and unsupervised learning, training/testing splits, overfitting, and model evaluation basics.
Python Foundations for AI
Variables, loops, functions, lists, and writing simple Python scripts to solve AI-related problems.
Generative AI and Responsible Use
How generative models create text and images; LLMs; ethical use, deepfakes, and responsible prompting.
Introduction to Machine Learning Systems
Supervised, unsupervised, and reinforcement learning — how models are trained, validated, and deployed.
AI Project Cycle and Problem Solving
End-to-end AI project framework: problem framing, data pipeline, model building, evaluation, and iteration.
Data Handling and Visualization
Data cleaning, transformation, statistical analysis, and visualising insights using charts and graphs.
AI Domains and Intelligent Applications
Advanced applications in computer vision, NLP, robotics, and AI-driven decision systems across industries.
Introduction to Generative AI
How LLMs, diffusion models, and generative systems work; prompt engineering; creative and professional use cases.
Python Programming for AI
Functions, libraries (NumPy, Pandas basics), file handling, and writing Python code to implement AI logic.
Ethics, Privacy and Responsible AI
AI governance, India's data protection law, algorithmic bias, fairness, and building AI that benefits everyone.
Everything Included
in Your ₹250 Registration
AI Olympiad Prep Books
Grade-specific AI preparation books aligned with NSQF curriculum standards.
LMS Access — Learn & Practice
Full access to STEMLearn.AI LMS with lessons, quizzes and practice modules.
Sample Paper & OMR Sheet
Official sample question paper and OMR sheet matching the real exam format.
E-Certificates
Every participant receives a digitally verified participation certificate.
Cash Prizes
Top performers become eligible for exciting rewards, prizes and recognition.
SparkX Eligibility
Top 10 Rank holders from each grade will get invited to SparkX — National Innovation Challenge at Techfest, IIT Bombay.
Performance Analytics
Detailed topic-wise performance reports with strengths and improvement insights for student & school both.
Simple, Honest, Single-tier
- AI Prep Book (Techno-Book)
- LMS Access — Learn & Practice
- Sample Paper + OMR Sheet
- Exam Participation
- E-Certificate for All
- Eligibility for Monetary Rewards
- SparkX eligibility (Top 10 per grade)
Bulk Enrollment
- Same ₹250/student — no school fee
- Bulk enrollment + coordinator login
- School-level results analytics dashboard
- Dedicated school account manager
- School participation certificate
- School Certificate
Rewards & Recognition
Three tiers of recognition — from a national stage at IIT Bombay to a certificate for every participant.
Monetary Rewards
Top 10 performers from each grade receive exciting cash prizes. Across 8 grades — 80 winners every year.
SparkX Invitation
Top Rank 10 from each grade earns a coveted spot at SparkX — National Innovation Challenge at Techfest, IIT Bombay. India's biggest student tech festival.
E-Certificate
Every student receives a digitally signed e-certificate co-branded with IIIT Allahabad and IIT Bombay.
Conducted in Association with
India's Premier Institutions
IIIT Allahabad
Academic Partner · AI Content Validation
COEP Pune
Academic Partner · Curriculum Review
SPPU Pune
Academic Partner · Research Foundation
IIT Bombay —
Techfest ⭐
Prestige Partner · SparkX Host
Latest Updates
Registrations for AI Olympiad 2026 are Now Open!
Students in Grade 3–10 can now register individually at ₹250. Schools can register for bulk enrollment. Registrations close September 30, 2026.
Register Now →IIT Bombay Joins as Prestige Partner for SparkX 2026
We are thrilled to announce IIT Bombay's Techfest as the official host for SparkX 2026 National Innovation Challenge.
Learn More →AI Olympiad 2025 Results Declared — 10,000+ Certified!
Results for the AI Olympiad 2025 are now available. Participants can download certificates from the portal.
View Results →Frequently Asked Questions
STEMLearn.AI's AI Olympiad is India's premier school-level aptitude exam in Artificial Intelligence, conducted in association with IIIT Allahabad, IIT Bombay, COEP and SPPU.
Students from Grade 3 through Grade 10 are eligible across 8 grade-specific categories.
Topics range from AI fundamentals (Grades 3–4) to applied AI and Python basics (Grades 9–10).
October–November 2026 across 20+ cities in India through partner schools and exam centres.
Complete the registration form, pay ₹250 and receive your LMS access and exam confirmation instantly.