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Decoding Artificial Intelligence: Textbook for CBSE Class XII (2026-27 Session)

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Decoding Artificial Intelligence: Textbook for CBSE Class XII (2026-27 Session)

This textbook serves as your companion for learning AI in a clear, hands-on, and practical manner, with a focus on real-world applications. Aligned with the CBSE Class XII 2026-27 curriculum, it is packed with topics, tools and techniques that will help you build a strong foundation in AI, whether you are learning in the class or exploring on your own.

Salient Features of the Book:

  • Python Programming II—Learn to use powerful tools like NumPy and Pandas.
  • Data Science Methodology—Understand how to approach a real-world problem.
  • Computer Vision—Discover how machines see and make sense of visuals.
  • Orange Data Mining Tool—Use drag-and-drop tools to explore data and create AI models without writing a single line of code.
  • Big Data and Data Analytics—Dive into how large amounts of data help decisions.
  • Neural Networks—Explore how machines learn/recognise patterns like our brain.
  • Generative AI—Latest tools that can create content like text, music and images.
  • Data Storytelling—Learn how to turn data into compelling stories that people love.

Throughout the chapters, you will find real-world case studies that demonstrate how AI is applied to solve practical problems. If you are working on a Capstone Project, these case studies are perfect starting points.

Besides a Model Test Paper (Solved) and a Practice Paper, the book also includes:

  • Step-by-step activities to build your confidence and sharpen your skills.
  • Illustrations and tips to help you visualise tough topics.
  • Jargon Alerts to explain tricky terms in plain language.
  • Online resources and exercises so you can practise beyond the book.

This textbook serves as your companion for learning AI in a clear, hands-on, and practical manner, with a focus on real-world applications. Aligned with the CBSE Class XII 2026-27 curriculum, it is packed with topics, tools and techniques that will help you build a strong foundation in AI, whether you are learning in the class or exploring on your own.

Salient Features of the Book:

  • Python Programming II—Learn to use powerful tools like NumPy and Pandas.
  • Data Science Methodology—Understand how to approach a real-world problem.
  • Computer Vision—Discover how machines see and make sense of visuals.
  • Orange Data Mining Tool—Use drag-and-drop tools to explore data and create AI models without writing a single line of code.
  • Big Data and Data Analytics—Dive into how large amounts of data help decisions.
  • Neural Networks—Explore how machines learn/recognise patterns like our brain.
  • Generative AI—Latest tools that can create content like text, music and images.
  • Data Storytelling—Learn how to turn data into compelling stories that people love.

Throughout the chapters, you will find real-world case studies that demonstrate how AI is applied to solve practical problems. If you are working on a Capstone Project, these case studies are perfect starting points.

Besides a Model Test Paper (Solved) and a Practice Paper, the book also includes:

  • Step-by-step activities to build your confidence and sharpen your skills.
  • Illustrations and tips to help you visualise tough topics.
  • Jargon Alerts to explain tricky terms in plain language.
  • Online resources and exercises so you can practise beyond the book.
$264.25

Original: $755.00

-65%
Decoding Artificial Intelligence: Textbook for CBSE Class XII (2026-27 Session)

$755.00

$264.25

Description

This textbook serves as your companion for learning AI in a clear, hands-on, and practical manner, with a focus on real-world applications. Aligned with the CBSE Class XII 2026-27 curriculum, it is packed with topics, tools and techniques that will help you build a strong foundation in AI, whether you are learning in the class or exploring on your own.

Salient Features of the Book:

  • Python Programming II—Learn to use powerful tools like NumPy and Pandas.
  • Data Science Methodology—Understand how to approach a real-world problem.
  • Computer Vision—Discover how machines see and make sense of visuals.
  • Orange Data Mining Tool—Use drag-and-drop tools to explore data and create AI models without writing a single line of code.
  • Big Data and Data Analytics—Dive into how large amounts of data help decisions.
  • Neural Networks—Explore how machines learn/recognise patterns like our brain.
  • Generative AI—Latest tools that can create content like text, music and images.
  • Data Storytelling—Learn how to turn data into compelling stories that people love.

Throughout the chapters, you will find real-world case studies that demonstrate how AI is applied to solve practical problems. If you are working on a Capstone Project, these case studies are perfect starting points.

Besides a Model Test Paper (Solved) and a Practice Paper, the book also includes:

  • Step-by-step activities to build your confidence and sharpen your skills.
  • Illustrations and tips to help you visualise tough topics.
  • Jargon Alerts to explain tricky terms in plain language.
  • Online resources and exercises so you can practise beyond the book.

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