AI and Deep Learning Foundations for Non-Programmers

Artificial intelligence is transforming every industry, but understanding how it operates does not require a background in advanced mathematics or software engineering. This text-based course breaks down the foundational mechanisms of modern machine learning and neural networks into clear, accessible concepts. What you'll learn: Understand key artificial intelligence and deep learning terminology, from training data to model inference; Explore how artificial neural networks recognize patterns, process inputs, and generate outputs; Learn the conceptual foundations behind large language models and generative systems; Discover how vector embeddings, attention mechanisms, and retrieval patterns work in plain language; Evaluate practical use cases, limitations, algorithmic bias, and ethical considerations in modern AI. The course begins with clear definitions and core concepts before guiding you through model training fundamentals and modern generative architectures. Designed specifically for beginners, this course requires no prior coding knowledge or mathematical background. Start reading today to develop genuine AI literacy and navigate modern technology with confidence.