CBSE AI CURRICULUM FOR CLASSES 6 - 10
CBSE Class 6 Artificial Intelligence Syllabus
- Introduction to AI: What is AI? History of AI, the need and purpose of
AI.
- AI in Daily Life: Examples of AI in everyday situations and how they impact
our lives.
- AI Ethics: Introduction to ethical considerations in AI development
and usage.
- AI Applications: Explore how AI is used in various fields, such as
healthcare, education, and transportation.
CBSE Class 7 Artificial Intelligence Syllabus
- Building on Class
6: Review of previous concepts and deeper exploration of AI
applications.
- Computer Vision: Learn how AI systems can "see" and interpret
images.
- Natural Language
Processing: Understand how AI can process
and understand human language.
- AI and Problem
Solving: Introduction to AI-based problem-solving
techniques and how AI can help with complex tasks.
CBSE Class 8 Artificial Intelligence Syllabus
- Advanced AI
Concepts: Explore more complex AI algorithms and
techniques.
- AI-Powered Tools: Learn how to use AI tools for creative projects and
problem-solving.
- AI and Robotics: Introduction to the field of robotics and how AI plays a
role in making robots intelligent.
- Ethical
Considerations: Discussing the ethical
implications of AI advancements and the potential impact on society.
CBSE Class 9 Artificial Intelligence Syllabus
The Class 9 syllabus focuses on building a foundation in AI. It's divided into Part-A (Employability Skills), Part-B (Subject-Specific Skills), Part-C (Practical Work), and Part-D (Project Work/Field Visit/Student Portfolio).
Part A: Employability Skills (10 marks)
These units aim to develop essential soft
skills:
- Communication Skills
- Self-Management Skills
- Information and Communication Technology Skills
- Entrepreneurial Skills
- Green Skills
Part B: Subject-Specific Skills (40 marks)
- AI Reflection,
Project Cycle, and Ethics: This unit explores what AI is,
its applications in everyday life, and the importance of ethical considerations
in AI development.
- Data Literacy: Students learn about different types of data, how to
collect and analyse it, and how to use data for AI projects.
- Math for AI
(Statistics & Probability): This unit
introduces mathematical concepts that are crucial for understanding an applying
AI algorithm, such as statistics and probability.
- Introduction to
Generative AI: Students are introduced to the
concept of generative AI, which allows machines to create new content based on
existing data.
- Introduction to Python: This unit provides an introduction to the Python programming language, a widely used language in the field of AI.
Part C: Practical Work (50 marks)
- Practical File: Minimum of 15 Python programs – 15 marks
- Practical Examination: Covers Python programming – 15 marks
- Viva Voce – 5 marks
- Project Work/Field Visit/Student Portfolio – 10 marks
- Additional Viva Voce – 5
- Total practical assessment: 50 marks.
CBSE Class 10 Artificial Intelligence Syllabus
Class 10 syllabus is divided into Part-A (Employability Skills), Part-B (Subject-Specific Skills) Part-C (Practical Work), and Part-D (Project Work/Field Visit/Student Portfolio).
Part A: Employability Skills (10 Marks)
These foundational skills are designed to enhance students' overall employability.
- Communication Skills
- Self-Management Skills
- Information and Communication Technology (ICT) Skills
- Entrepreneurial Skills
- Green Skills
Part B: Subject-Specific Skills (40 Marks)
- Revisiting AI
Project Cycle & Ethical Framework for AI –
Understanding the stages of AI project development and the importance of ethics
in AI.
- Advanced Concepts
of Modelling in AI – Exploring complex AI models and
their applications.
- Evaluating Models – Techniques to assess the performance and accuracy of AI
models.
- Statistical Data – Introduction to statistical methods relevant to AI.
- Computer Vision – Basics of enabling machines to interpret visual information.
- Natural Language
Processing (NLP) – Understanding how machines
process and analyze human language.
- Advanced Python – Enhancing programming skills with advanced Python concepts
Part C: Practical Work (50 Marks)
- Python Programming – Implementing AI concepts using Python.
- AI Project Cycle
Implementation – Developing a mini-project
covering all stages of the AI project cycle.
- Viva Voce – Oral examination to assess understanding and application of
AI concepts.
The CBSE Artificial Intelligence syllabus is designed to introduce students to the fundamentals of
AI, including its principles, applications, and ethical considerations. It
covers topics like AI reflection, project cycles, data literacy, and
introductory programming in Python.
"This Content Sponsored by Buymote Shopping app
BuyMote E-Shopping Application is One of the Online Shopping App
Now Available on Play Store & App Store (Buymote E-Shopping)
Click Below Link and Install Application: https://buymote.shop/links/0f5993744a9213079a6b53e8
Sponsor Content: #buymote #buymoteeshopping #buymoteonline #buymoteshopping #buymoteapplication"
