Class – 9 – Artificial Intelligence – Syllabus
Part A: Employability Skills
Unit 1: Communication Skills-II
1. Methods of Communication
2. Giving and Receiving Feedback
3. Communication Barriers and Ways to Overcome Them
4. Principles of Effective Communication
5. Basic Writing Skills
Unit 2: Self-Management Skills-II
1. Stress and Its Impact
2. Techniques for Managing Stress
3. Working Independently
Unit 3: ICT Skills-II
1. Operating System and Basic File/Folder Operations
2. Basic Computer Care and Maintenance
3. Computer Security and Viruses
Unit 4: Entrepreneurial Skills-II
1. Qualities of an Entrepreneur
2. Role and Importance of Entrepreneurs
3. Common Myths About Entrepreneurship
4. Entrepreneurship as a Career Choice
Unit 5: Green Skills-II
1. Sustainable Development
2. Importance of Sustainable Development
3. Challenges and Solutions in Sustainable Development
Part B: Subject-Specific Skills
Unit 1: Introduction to Artificial Intelligence
1. Basic Concepts of Artificial Intelligence
2. Fundamentals of Artificial Intelligence
3. Uses of Artificial Intelligence
4. Ethics in Artificial Intelligence
Unit 2: AI Project Cycle
1. Problem Scoping
2. Data Acquisition
3. Data Exploration
4. Modelling and Evaluation
Unit 3: Python Programming
1. Basics of Python
2. Introduction to AI Tools
3. Working with Notebook Documents
4. Lists and Tuples in Python
5. Flow Control and Conditional Statements
6. Python Modules and Packages
Unit 4: Data Science
1. Introduction to Data Science
2. Applications of Data Science
3. Data Science and the AI Project Cycle
4. Basic Statistics, Data Exploration and Visualisation
5. Classification Models
Unit 5: Computer Vision
1. Introduction to Computer Vision
2. Introduction to OpenCV
3. Convolution and Convolutional Neural Networks
Unit 6: Natural Language Processing
1. Introduction to Natural Language Processing
2. NLP and the AI Project Cycle
3. How NLP Works
Unit 7: Evaluation
1. Model Evaluation
Projects