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Computing & AI
Class 9

ICSE · Class 9 · Robotics & AI

AI Concepts and AI Project Framework

Chapter II.4Part II: Artificial IntelligenceICSE · Class IX · examination 2028

3 worlds · 4 quick labs for this chapter.

Topics

AI concepts
- Narrow and broad, weak and strong AI
- Expert systems
- Computer vision, NLP and neural networks
AI project cycle
- Problem scoping and data acquisition
- Data exploration, modelling and evaluation

Learning objectives

Apply the AI project cycle stages to a simple use case.

Worlds

Places to explore freely · 3 worlds

WorldSpeech & LanguageSay a word and watch it become a picture — then watch a machine read that picture back
WorldHow Neural Networks LearnStand inside a network that is actually learning — signals cross the layers and the error falls
WorldAI & Python Builds (Medha AI)55 guided builds — place the blocks, read the Python, train a machine that really learns

Quick labs

Short practice · 4 quick labs

Quick labImage Recognition BasicsArtificial Intelligence
Quick labNeural Networks — A Gentle IntroArtificial Intelligence
Quick labClustering — Finding Groups in DataArtificial Intelligence
Quick labDecision TreesArtificial Intelligence

Practice

Questions for Class 9 Robotics & AI, with worked answers, on screen or as a printed paper.

Open the question bank

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