Artificial Intelligence: Core Concepts and Techniques

Artificial intelligence is reshaping our world, yet its power rests on foundational algorithms and logical frameworks. Understanding these core concepts is essential for anyone looking to build, analyze, or work with intelligent systems. In this course, you will transition from a beginner to a confident practitioner of fundamental AI techniques. You will learn how to model complex problems, design efficient search strategies, and grasp the modern paradigms that drive automated decision-making. What you'll learn: • Understand foundational AI terminology, state-space representation, and agent-based design. • Master classic search algorithms, including heuristic search, A* search, and adversarial game playing. • Apply knowledge representation techniques, propositional logic, and first-order logic to structure complex information. • Explore modern AI paradigms, including machine learning basics and neural network architectures. • Practice evaluating algorithm efficiency and optimizing decision-making pathways through written exercises. The course begins with essential definitions and historical context before progressing to search algorithms, logic, and modern machine learning concepts. Each module combines theoretical explanations with step-by-step written walkthroughs and conceptual exercises. This course is designed for beginners, and no prior background in artificial intelligence or advanced mathematics is required. Start reading today to build a rock-solid foundation in the principles of artificial intelligence.