Artificial Intelligence: Core Concepts and Exam Prep

Preparing for an academic exam in artificial intelligence or looking to build a rock-solid foundation in AI theory? Understanding the core mathematical and logical pillars of AI is essential for both academic success and practical application. This text-based course guides you through the fundamental principles of AI, translating complex theories into clear, digestible concepts. You will transition from basic terminology to a structured understanding of intelligent systems, search strategies, and modern machine learning paradigms. What you'll learn: Understand foundational AI terminology, intelligent agent architectures, and state-space representations; Apply classical search algorithms, including heuristic and adversarial search, to solve structured problems; Structure complex knowledge using formal logic, semantic networks, and rule-based systems; Explore the fundamentals of machine learning, neural networks, and foundational deep learning; Learn the basics of contemporary AI developments, including large language models and prompt engineering; Practice solving conceptual questions to test your theoretical understanding. The course begins with core definitions and the history of intelligent agents, progressing systematically through search strategies, logic-based knowledge representation, and foundational machine learning, concluding with modern AI trends. Designed for beginners, students preparing for academic exams, and aspiring tech professionals who want a strong theoretical foundation in AI without requiring prior programming experience. Start reading today to master the core principles of artificial intelligence.