AI Foundations: Search Algorithms and Logical Reasoning

Understanding how machines think begins with the core concepts of search and logic. This text-based course guides you through the foundational techniques that powered the first waves of artificial intelligence and remain critical in solving complex computational problems today. You will develop a rigorous understanding of how to frame problems for an AI to solve, moving from basic goal-seeking to advanced logical inference. By the end of this course, you will be able to apply classical AI methodologies to modern challenges in pathfinding, planning, and automated reasoning. * Understand core terminology and the historical development of artificial intelligence * Practice search techniques including depth-first, breadth-first, and heuristic-based methods * Apply metaheuristic strategies to find solutions in large, complex search spaces * Implement game-playing logic for strategic decision-making and competition * Master deductive reasoning using propositional logic and first-order logic * Design planning sequences to achieve specific goals in automated environments * Explore how classical logic connects to modern knowledge graphs and neuro-symbolic AI The course starts with foundational definitions and the history of the field, then moves into algorithmic search methods and formal logical systems. It concludes with an overview of how these classic techniques are applied in current technology. This course is designed for beginners who want a deep understanding of AI fundamentals without needing prior specialized knowledge. Begin your journey into the logic and mechanics of artificial intelligence today.