The world around us is transforming in the field of AI. Artificial Intelligence Class 11 revised textbook, designed for students of Class 11, which offers a comprehensive exploration of its core concepts, applications, and potential impact in the field of AI.
Artificial Intelligence Class 11
Artificial Intelligence Class 11 Notes
Artificial Intelligence Class 11 NCERT solution
Employability Skills Class 11 Notes
Unit 1 : Communication Skills-III
Unit 2 : Self-Management Skills-III
Unit 3 : ICT Skills-III
Unit 4 : Entrepreneurial Skills-III
Unit 5 : Green Skills-III
Employability Skills Class 11 MCQ
Unit 1 : Communication Skills – III
Unit 2 : Self-Management Skills – III
Unit 3 : Information and Communication Technology Skills – III
Unit 4 : Entrepreneurial Skills – III
Unit 5 : Green Skills – III
Employability Skills Class 11 Questions and Answers
Unit 1 : Communication Skills – III
Unit 2 : Self-Management Skills – III
Unit 3 : Information and Communication Technology Skills – III
Unit 4 : Entrepreneurial Skills – III
Unit 5 : Green Skills
Old Subject Specific Skills Notes
Unit 1: Introduction To AI
Unit 2: AI Applications & Methodologie
Unit 3: Maths For AI
Unit 4: AI Values (Ethical Decision Making)
Unit 5: Introduction To Storytelling
Unit 6: Critical & Creative Thinking
Unit 7: Data Analysis (Computational Thinking)
Unit 8: Regression
Unit 9: Classification & Clustering
Unit 10: AI Values (Bias Awareness)
The Central Board of Secondary Education introduced an artificial intelligence curriculum for Class 11 students from the session 2020-21. This curriculum is designed by the 1M1B (1 Million for 1 Billion) and supported by IBM and aligned with NSQF. In the AI Class 11 curriculum, the topics are used Unit 1: Introduction – AI for Everyone, Unit 2: Unlocking your Future in AI, Unit 3: Python Programming, Unit 4: Introduction to Capstone Project, Unit 5: Data Literacy – Data Collection to Data Analysis, Unit 6: Machine Learning Algorithms, Unit 7: Leveraging Linguistics and Computer Science, Unit 8: AI Ethics and Values – the below topic.
The curriculum begins with an introduction to artificial intelligence where the students will be able to learn what AI is, the evaluation of AI, types of AI, and domains of AI. What is data science? How is the data important? What are the types of data? What are cognitive computing (perception, learning, reasoning), AI terminologies, etc.?
In Unit 2 students are going to learn about how the student will get an opportunity in different job sections where AI is used. Students will also learn what the different job roles are and the essential skills and tools for prospective AI careers. What are the different professional toolkits available? What are the different opportunities in AI across various industries, etc.?
In Unit 3, students are going to learn about how Python is helpful in the field of AI and some basic concepts of Python, such as Python editors, keywords, identifiers, literals, operators, punctuators, data types, how the values can be accepted from the users, control flow statements in Python, understanding CSV files and uses, an introduction to libraries, etc.
In Unit 4 students are going to learn about the capstone project. A capstone project is a project where students must research a topic, deeply understand the subject matter and integrate all their knowledge gathered about a particular subject to develop a solution to a problem. In this chapter students will learn how questions are important in AI capstone projects, critical and creative thinking, design thinking frameworks, empathy maps, ideation, etc.
In Unit 5, students are going to learn about data literacy, data collection, how to explore data using nominal level, ordinal level, interval level and ratio scale level, statistical analysis of data, variance and standard deviation, etc. In Unit 6 students are going to learn about machine learning, types of machine learning, how classification works, types of classification, why the KNN algorithm is needed, how clustering works, types of clustering, what k-means clustering is, etc.
In Unit 7 students are going to learn about leveraging linguistics and computer science. In this topic students will understand how the human language has complexity, about natural language processing, emotion detection and sentiment analysis, classification problems, chatbots, types of chatbots, how the NLP converts speech to text and how to analyse the intent of text, applications of NLP, etc. In Unit 8 students are going to learn about AI ethics and its values, how ethics is important in AI, the five pillars of AI ethics, Bias, bias awareness, sources of bias, examples of AI bias in real life, mitigating bias in AI systems, etc.
Disclaimer: We have taken an effort to provide you with the accurate handout of “Artificial Intelligence Class 11“. If you feel that there is any error or mistake, please contact me at anuraganand2017@gmail.com. The above CBSE study material present on our websites is for education purpose, not our copyrights. All the above content and Screenshot are taken from Artificial Intelligence Class 11 CBSE Textbook, Sample Paper, Old Sample Paper, Board Paper and Support Material which is present in CBSEACADEMIC website, This Textbook and Support Material are legally copyright by Central Board of Secondary Education. We are only providing a medium and helping the students to improve the performances in the examination.
Images and content shown above are the property of individual organizations and are used here for reference purposes only.
For more information, refer to the official CBSE textbooks available at cbseacademic.nic.in