Class 8

Course Objectives Assessment: ● Participation in activities and discussions (20%) ● Quizzes and short assignments (30%)
The Kavach
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  • Description

Chapter 1: Introduction to AI & ML
● What is intelligence?
● History and evolution of AI
● Types of AI (weak, strong)
● Real-world examples of AI (virtual assistants, self-driving cars)
● Activity: Brainstorm different applications of AI in daily life.

Chapter 2: Understanding Data
● Importance of data in AI
● Different types of data (numerical, categorical, textual)
● Data collection methods
● Data cleaning and preprocessing
● Activity: Collect and analyze data from a simple survey.

Chapter 3: Algorithms and Models
● What are algorithms?
● Introduction to different ML algorithms (e.g., decision trees, K-nearest neighbors)
● How models learn from data
● Activity: Use Scratch to build a simple classification model.

Chapter 4: Supervised Learning
● Learning from labeled data
● Predicting values or classifying data points
● Applications of supervised learning (image recognition, spam filtering)
● Activity: Build a chatbot using supervised learning in Scratch.

Chapter 5: Unsupervised Learning
● Finding patterns in unlabeled data
● Clustering algorithms and their applications
● Activity: Analyze a dataset of music genres using unsupervised learning.

Chapter 6: Reinforcement Learning
● Learning through trial and error
● Applications in robotics and game playing
● Activity: Design a simple game using reinforcement learning principles.

Chapter 7: Introduction to Python
● Basic Python programming concepts (variables, loops, functions)
● Setting up a Python environment
● Activity: Write a simple Python program to analyze data.

Chapter 8: Building an AI Project
● Identify a problem to solve with AI
● Design and plan your project
● Develop and implement your AI solution
● Activity: Build a simple AI application using Python (e.g., image classifier).

Chapter 9: The Future of AI
● Exploring cutting-edge AI research
● Potential benefits and challenges of AI
● Careers in AI
● Activity: Discuss the ethical implications of AI and its future impact.

Chapter 10: AI for Good
● Using AI to address social and environmental challenges
● Responsible AI development principles
● Activity: Research and present an AI project that contributes to a positive cause.

● Participation in activities and discussions (20%)
● Quizzes and short assignments (30%)


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Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed