Worksheets
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Class 12 — Artificial Intelligence · CBSE
Class 12 · All Subjects, All Boards
Pick your Board first — the subject list updates to include the state's mother-tongue language(Telugu, Tamil, Kannada, Marathi, Bengali, etc.) plus Sanskrit/Urdu where prescribed. Every chapter gets 5 practice worksheets of 20 questions each, plus booster sets — 20 Case Study, 25–30 HOTS, 20 MCQ and 25 Assertion & Reason questions. Strictly aligned to the latest 2026–2027 syllabus of the selected board.
Board
Subject
1
Unit 1 — Capstone Project: problem identification, decomposition, analytic and predictive modelling
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
2
Unit 2 — Model Lifecycle: data preparation, feature engineering, training, validation, deployment
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
3
Unit 3 — Storytelling through Data: visualisation types, dashboards, insight communication
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
4
Unit 4 — Computer Vision: image processing, OpenCV, convolution, pooling, CNN architecture
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
5
Unit 5 — Natural Language Processing: text processing, sentiment analysis, chatbots, transformers overview
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
6
Unit 6 — Advanced Python for AI: scikit-learn workflow, model evaluation metrics
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
7
Unit 7 — Ethics, bias and responsible AI; AI in industry and future skills
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster
8
Practical — Capstone project, viva and practical file
5 practice worksheets · 20 questions each · Case 20 · HOTS 28 · MCQ 20 · A&R 25
CBSE Board Booster