Foundations of AI Expert Systems

Are you looking to understand how computers can mimic human expertise to solve complex problems? This course provides a clear understanding of AI expert systems, enabling you to design intelligent applications that leverage structured knowledge for sophisticated decision-making and problem-solving. What you'll learn: * Understand the foundational concepts and historical context of AI expert systems. * Learn various knowledge representation techniques, including rules and frames. * Explore inference mechanisms such as forward and backward chaining for decision-making. * Apply principles of knowledge acquisition and engineering to build robust knowledge bases. * Examine the core architectural components of expert systems and their interactions. * Understand the inherent explainability of expert systems and their role in transparent AI. * Discover how expert system concepts inform modern hybrid AI approaches. The course begins by defining expert systems and their historical significance, then progresses through detailed explanations of knowledge representation, inference, and system architecture, concluding with their relevance in contemporary AI. This course is designed for absolute beginners with no prior experience in AI or expert systems. Start your journey into intelligent systems design today.