Artificial Intelligence Planning for GATE CS and IT

Preparing for the GATE Computer Science and IT exam requires a deep, conceptual understanding of core Artificial Intelligence topics. This written course breaks down complex AI planning concepts into clear, digestible explanations designed to help you score high. You will build a solid foundation in how intelligent agents formulate and execute plans, moving from basic definitions to solving exam-level problems with confidence. What you'll learn: - Understand foundational AI planning concepts, state representations, and goal states. - Analyze classical planning languages like STRIPS and ADL to represent complex domains. - Apply state-space search techniques, including progression and regression planning. - Evaluate plan-space planning and modern heuristic search approaches. - Solve GATE-style practice questions using step-by-step analytical methods. The course starts with fundamental definitions of planning environments before progressing to representation languages, search algorithms, and practical problem-solving strategies. It is designed specifically for GATE CS and IT aspirants, as well as computer science students seeking a clear, text-based introduction to AI planning with no prior background in the topic required. Start reading today to master AI planning and boost your exam preparation.