What is AI? (The Plain English Guide)
Understand AI, Machine Learning, Deep Learning, and Generative AI through simple explanations and real-world examples.
Learning Objectives
- ✓Understand the difference between AI, Machine Learning, and Deep Learning
- ✓Recognize AI applications in everyday life
- ✓Learn about different types of AI systems
- ✓Understand how AI impacts your daily life
Key Concepts
Artificial Intelligence (AI)
AI is the broad concept of machines being able to carry out tasks in a way that we would consider "smart" or "intelligent." Think of it as the umbrella term for all computer systems that can perform tasks that typically require human intelligence.
Machine Learning (ML)
ML is a subset of AI that enables computers to learn and improve from experience without being explicitly programmed for every task. It's like teaching a computer to recognize patterns and make decisions based on data.
Deep Learning (DL)
DL is a subset of ML that uses neural networks with multiple layers (hence "deep") to analyze data. It's inspired by how the human brain works and is particularly good at recognizing complex patterns.
Generative AI
Generative AI creates new content (text, images, music, code) based on patterns it learned from training data. Examples include ChatGPT for text and DALL-E for images.
AI in Your Daily Life
📧 Email Spam Filters
Your email automatically sorts spam from legitimate emails using ML algorithms.
🎵 Music Recommendations
Spotify and Apple Music use AI to suggest songs you might like based on your listening history.
🗺️ Navigation Apps
Google Maps uses AI to find the fastest route and predict traffic conditions.
🛒 Shopping Recommendations
Amazon and other e-commerce sites suggest products based on your browsing and purchase history.