Grade Nine Artificial Intelligence Curriculum Handbook of CBSE: A short document review
- Lalit Kishore
- Apr 26
- 2 min read
Updated: Apr 27

The Central Board of Secondary Education (CBSE) has brought out the "Artificial Intelligence Curriculum" as facilitator' sourcebook curated with support from Intel India experts 'to equip the next generation with the skills and mindset necessary to thrive in an 'AI-driven world'
The 110-odd page document meant for grade nine being called '‘AI Facilitator Handbook’ has been introduced as an optional suject by a few schools is meant to seen 'as a road map for students to navigate the complexities of AI with confidence and creativity' and is designed 'to inspire students to not only understand AI but also to leverage it to drive positive social change.'
The book in its preface states, "In the rapidly evolving landscape of the global digital economy, Artificial Intelligence (AI) stands as the cornerstone of future innovation and growth...AI not just as a technological advancement but as an opportunity to foster inclusive economic growth and social development.
The preface also claims that the CBSE Grade IX AI Curriculum 2024-25 has the following Key features
• Enhanced Content: Concepts are presented with further elaboration and fresh examples to facilitate deeper engagement and comprehension.
• Real-Life Examples: Additional real-world scenarios are integrated to offer clearer explanations, making complex AI concepts accessible to students.
• AI enabled social impact solutions: Students are encouraged to develop AI solutions for social impact in a straightforward manner, fostering understanding and
empowerment.
• Use Case Walkthroughs: Practical implementation of AI concepts is demonstrated across various domains, enabling students to grasp their real-world applications.
CBSE Grade IX AI Curriculum 2024-25 has 4 Units like: AI Reflection, Project Cycle and Ethics; Basics of Data Literacy; Math for AI (Statistics & Probability)and Introduction to Generative AI to be completed in 150 hours. Units 1 to 3 have 3 sub-units each and there are 27 topics in all
Since, it is teacher source book, it needs to be converted in textual material on each topic coupled with the learning material at the school level to transfer training to classroom. Therefore the ready made textbooks won't serve the purpose since they lead to textbook based rote learning.
The list of 27 topics is as follows
• Introduction and definition of Artificial Intelligence (AI)
• The applications of AI in everyday life
• The three domains of AI and their applications
• The importance of the AI project cycle.
• To structure the AI problem statement with the AI project cycle
• The difference between ethics and morality.
• The ethical scenarios faced while building AI solutions
• AI bias and to identify bias in AI
• Data Literacy and its impact
• How to become Data literate?
• Data security and privacy
• Best practices for Cyber Security
• Types of data
• Sources of data
• Best Practices for acquiring data
• Features of data and Data Preprocessing
• Importance of Data Interpretation
• Tools used for Data Interpretation
• Data visualization & its importance
• Visualization of data with a No-Code tool
• Create a simple and interactive chart with a No-Code tool
• The applications of Mathematics in AI
• The different mathematical concepts
• Use of statistics in different AI applications 10
• Use of probability in different AI applications
• Introduction to Generative AI: Definition and Overview
• Applications and Use cases
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