Artificial Intelligence Fundamentals: From Machine Learning to Generative AI

Artificial intelligence is transforming how we work and live, but understanding how it actually works can feel overwhelming. This course demystifies the core concepts of AI, breaking down complex algorithms and modern applications into accessible, written lessons. You will transition from a curious observer to a knowledgeable practitioner capable of explaining and applying AI principles. You will understand the mechanics behind machine learning, explore how large language models generate text, and learn how to write effective prompts. What you'll learn: Understand foundational AI terminology, historical context, and the distinction between narrow and general AI; Explain key machine learning concepts, including supervised, unsupervised, and reinforcement learning; Explore generative AI fundamentals, neural networks, and how large language models function; Apply basic prompt engineering techniques to interact effectively with modern AI systems; Analyze real-world AI use cases, ethical considerations, bias, and the future of human-AI collaboration. Starting with fundamental definitions, this text-based course guides you step-by-step through machine learning models, neural networks, and the practical mechanics of generative technology. Designed entirely for beginners, this course requires no prior programming experience or mathematical background. Begin reading today to build your literacy in the defining technology of our era.