Artificial Intelligence Fundamentals: Core Theory and Modern Concepts

Artificial intelligence is transforming every industry, but understanding how it actually works requires a solid grasp of its foundational theories and modern architectures. This course breaks down complex AI concepts into structured, highly accessible readings. You will transition from a curious beginner to someone who understands both classical AI problem-solving techniques and the mechanics behind today's generative AI systems. What you'll learn: - Understand foundational AI terminology, state-space search, and heuristic search algorithms - Explore knowledge representation, propositional logic, and expert systems - Learn the core mechanics of machine learning, neural networks, and deep learning - Discover modern AI paradigms, including large language models and prompt engineering basics - Practice solving logical and algorithmic AI problems through structured written exercises The course starts with essential historical concepts and fundamental search algorithms before advancing to modern machine learning architectures and contemporary generative AI frameworks. You will read comprehensive explanations and analyze conceptual walk-throughs at your own pace. Designed for beginners, students preparing for foundational exams, or professionals looking to transition into the field, this course requires no prior programming or advanced math background. Start reading today to build a strong theoretical and practical foundation in artificial intelligence.