Artificial Intelligence and Machine Learning
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About AI & ML
The Artificial Intelligence (AI) and Machine Learning (ML) course introduces students to the technology that enables machines to learn from data and make intelligent decisions. Designed for kids and adults, this course provides a practical understanding of how modern AI systems work.
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Students will learn how computers recognize images, understand language, and make predictions using machine learning models. Through hands-on activities and projects, learners will explore the exciting world of intelligent systems and real-world AI applications.
Importance of Learning AI & ML
⏩Understand how modern technologies like voice assistants and recommendation systems work
⏩Develop strong analytical and problem-solving skills
⏩Prepare for future careers in AI, data science, and automation
⏩Learn how machines learn from data
⏩Build innovative AI-powered projects
⏩Gain knowledge of one of the fastest-growing technology fields
Curriulum
Foundations
What is AI? (daily life examples: voice assistants, recommendations) Difference between humans vs machines Pattern recognition (games & puzzles) Basics of data (numbers, images, text) Introduction to algorithms (step-by-step thinking)
Early AI Concepts
What is Machine Learning? Types of data (structured vs unstructured) Introduction to datasets Bias in AI (simple examples) Basic Python (variables, loops)
Core ML Skills
Types of ML: Supervised learning Unsupervised learning Features and labels Model training and testing Accuracy and errors Data visualization basics
Advanced ML & AI
Deep Learning basics (neural networks) Natural Language Processing (NLP) Computer Vision basics Ethics in AI (privacy, fairness, bias) AI in industries (healthcare, finance, education)
Final Assessment/Project
Grades 5–6: Quizzes + creativity projects Grades 7–8: Mini projects + presentations Grades 9–10: Coding assignments + datasets Grades 11–12: Capstone project + viva
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