Foundational Theory of Artificial Intelligence

Understanding Artificial Intelligence requires a solid grasp of its foundational theories, algorithms, and conceptual frameworks. This comprehensive text-based course guides you from absolute beginner to a confident conceptual thinker, preparing you for academic study or professional discussions. What you'll learn: • Understand the core history, definitions, and classification of AI systems • Explore search algorithms, heuristic search, and game-playing strategies • Learn the logical foundations of knowledge representation and reasoning • Master the basic principles of machine learning, neural networks, and modern deep learning • Examine modern concepts including generative AI, transformer architectures, and prompt engineering basics • Evaluate critical ethical considerations, bias, and safety in AI deployment. You will start with key terminology and basic definitions before progressing systematically through classical search, knowledge representation, machine learning basics, and modern generative models. This course is designed for students, exam candidates, and professionals seeking a rigorous, text-based conceptual foundation in AI with no prior programming experience required. Begin reading today to build a permanent, structured understanding of artificial intelligence.