Artificial intelligence learns not through memorization but by identifying patterns in data. This module explores the three main types of machine learning—supervised, unsupervised, and reinforcement—and explains how each allows AI systems to improve over time. Understanding these methods helps us grasp both AI’s power and its ethical challenges.
From ancient myths to modern machine learning, the history of artificial intelligence is a journey through human curiosity and innovation. This module traces the intellectual roots of AI, from philosophical ideas and logical systems to the birth of computer science and today's data-driven technologies—highlighting how past visions continue to shape the future of intelligent machines.
Artificial Intelligence exists on a spectrum — from simple reactive machines to the idea of fully self-aware systems. This module introduces the four main types of AI: reactive, limited memory, theory of mind, and self-aware. Understanding these types helps us grasp where AI stands today and what its future might hold.
Artificial Intelligence (AI) is the science of building machines and systems that can think, learn, and make decisions like humans — or sometimes even better. From virtual assistants to self-driving cars, AI is transforming how we live, work, and connect. But it’s not just about speed or automation; it’s about teaching machines to understand, reason, and adapt. This module will guide you through what AI really is, how it works, and why it matters.