Artificial Intelligence
For School Students
A comprehensive, hands-on journey from basic machine perception to neural networks, computer vision, and generative AI. Write live code in your browser with 24/7 guided companion hints.
Complete Course Syllabus
Structured into bite-sized chapters with theory notes, checkpoint questions, and code challenges.
Foundations of Artificial Intelligence & Smart Perception
Understand natural intelligence vs machine intelligence, input sensor perception, rule-based reasoning, and how machines recognize speech and faces.
The 5-Stage CBSE AI Project Cycle (Subject 417)
Master the official framework: Problem Scoping (4Ws canvas), Data Acquisition, Data Exploration, Modelling (rule-based vs learning-based), and Evaluation metrics.
Computer Vision & Optical Intelligence
How computers see the visual world. Pixels as RGB matrix arrays, edge detection kernels, object classification, face detection, and boundary boxes.
Natural Language Processing (NLP)
Text preprocessing pipelines: tokenization, stop-word removal, lemmatization, bag-of-words text representation, and sentiment classification algorithms.
Neural Networks & Generative AI
Perceptrons, activation functions (Sigmoid, ReLU), forward propagation, training loss gradients, attention mechanisms, and prompt engineering.
Build an AI-Powered Real-World Assistant
Students apply the entire AI Project Cycle to scope, acquire data, build, and evaluate an authentic project: an interactive AI chat assistant or image classifier. Every capstone is evaluated automatically against official CBSE rubric standards.