Available courses

Class 3 Computational Thinking

A Computer science / AI course for Class 3 with 14 chapters. Each chapter contains detailed lessons, practice with answers, and assessment activities.

Computational Thinking — Class 3 is an activity-based learning course designed to help young learners develop the thinking skills needed to solve problems systematically. Through puzzles, patterns, visual challenges, everyday situations, and step-by-step activities, students learn to observe carefully, identify relationships, break problems into smaller parts, and find logical solutions.

The course develops foundational skills in abstract thinking, pattern recognition, decomposition, and algorithmic thinking, while strengthening analytical, verbal, and visual reasoning. Learning is supported through interactive lessons, quizzes, practice activities, discussions, and creative problem-solving tasks.

Class 5 Computational Thinking

A Computer science / AI course for Class 5 with 13 chapters. Each chapter contains detailed lessons, practice with answers, and assessment activities.

Computational Thinking & AI – Class 5 is an activity-based learning course designed to develop students’ logical thinking, problem-solving, pattern recognition, and algorithmic thinking skills.

Through engaging puzzles, real-life situations, visual challenges, data activities, and step-by-step problem-solving tasks, students learn to break complex problems into smaller parts, identify patterns, reason systematically, and create solutions. The course also introduces foundational ideas related to computers, data, and Artificial Intelligence in an age-appropriate way.

Class 6 - Computational Thinking and Artificial Intelligence

A Computer science / AI course for Class 6 with 14 chapters,. Each chapter contains detailed lessons, practice with answers, and assessment activities. 

Computational Thinking & Artificial Intelligence — Class 6 is an engaging, activity-based course designed to help students develop logical reasoning, problem-solving, pattern recognition, decomposition, and step-by-step thinking skills.

The course uses age-appropriate puzzles, visual challenges, mathematical situations, real-life problems, and interactive activities to encourage students to think, explore, reason, and find solutions independently. It covers themes such as shapes, patterns, numbers, measurement, grouping, symmetry, time, transport, and data handling, transforming these concepts into computational-thinking challenges.

Class 7 Computational Thinking and Artificial Intelligence

A Computer science / AI course for Class 7 with 12 chapters,. Each chapter contains detailed lessons, practice with answers, and assessment activities.

Computational Thinking & Artificial Intelligence – Class 7 is an engaging, activity-based digital course designed to develop students’ logical reasoning, problem-solving, pattern recognition, data skills, and understanding of Artificial Intelligence.

The course builds computational thinking through mathematical, spatial, numerical, and real-life problem-solving situations. Students learn to break complex problems into smaller parts, identify patterns, analyse information, follow and design logical procedures, and communicate solutions systematically. The Class 7 curriculum includes topics such as large numbers, arithmetic expressions, decimals, algebraic expressions, lines and angles, number puzzles, fractions, and multi-step reasoning.

Class 8 Computational Thinking and Artificial Intelligence

A Computer science / AI course for Class 8 with 10 chapters, generated from "all-chapters.docx". Each chapter contains detailed lessons, practice with answers, and assessment activities.

Computational Thinking & Artificial Intelligence – Class 8 is an engaging, activity-based course designed to strengthen students’ logical reasoning, problem-solving, pattern recognition, decomposition, abstraction, and algorithmic thinking skills. The course connects computational thinking with mathematical and real-world problems, encouraging students to analyse complex situations, identify relationships, and develop step-by-step solutions.