CBSE Artificial Intelligence – Class XI

Welcome to the next step in your child’s exploration of Artificial Intelligence! This Class XI course builds upon the foundational knowledge from Class X and is designed to equip students with the skills and understanding to become informed and engaged citizens in an AI-driven world. The curriculum, with the job role of “AI Assistant,” focuses on using AI to solve real-world problems and prepares students for future studies and careers in this exciting field.

What is the course about?

This course delves deeper into the world of AI, focusing on how intelligent machines learn and can be used to create positive change across various disciplines—from healthcare and agriculture to education and environmental sustainability. It’s a comprehensive program that blends online resources with hands-on activities to help students understand the societal implications of AI and how it can be harnessed for good. The main goal is to develop critical thinking skills and prepare students for careers as AI scientists and developers.

What your child will learn?

1. Understand and Communicate AI Concepts: Students will learn to effectively communicate about AI concepts, their historical evolution, and the different types and domains of AI.
2. Explore AI Career Paths: The course will provide insights into the global demand for AI professionals, common job roles, and the essential skills required for a career in AI.
3. Master Python Programming: Students will gain practical programming skills in Python, learning to use libraries like Numpy, Pandas, and Scikit-learn, which are essential for data science.
4. Develop a Capstone Project: A key feature of this course, the capstone project will allow students to apply their learning to solve real-world problems using a design thinking framework.
5. Become Data Literate: Students will learn the importance of data, how to collect and analyze it, and how to visualize it using graphs and charts.
6. Understand Machine Learning Algorithms: The course covers different machine learning methods, such as regression, classification, and clustering, and how they are used to build intelligent systems.
7. Explore Language and AI: Students will learn about the complexities of human language and how Natural Language Processing (NLP) is used in applications like chatbots and sentiment analysis.
8. Think Critically About AI Ethics: A crucial part of the curriculum, this unit focuses on the ethical principles of AI, including bias, fairness, and transparency, and how to mitigate them.