Artificial Intelligence Fundamentals: ML, Neural Networks, and Applications

Artificial intelligence is transforming modern industries, yet its core principles remain accessible to anyone willing to learn. This text-based course breaks down complex technology into clear, approachable concepts. You will gain a solid foundation in key AI terminology, machine learning paradigms, neural network structures, and essential ethics needed to understand modern AI systems. What you'll learn: - Understand fundamental AI terminology, algorithms, and theoretical basics - Explore core machine learning models, including supervised and unsupervised learning - Learn how artificial neural networks process data and discover patterns - Examine modern generative AI capabilities and prompt engineering fundamentals - Evaluate AI ethics, fairness, bias, and responsible technology usage The course begins with fundamental definitions and core concepts before progressing into practical descriptions of training models, deep learning concepts, and real-world applications. Designed specifically for absolute beginners with no prior coding or technical background required. Start reading today to build your artificial intelligence literacy.