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This 33-minute tutorial explores Goal-Based Agents, intelligent systems that make decisions based on goals and outcomes rather than just conditions. Learn the fundamental concepts of Goal-Based Agents, understand how they differ from Reflex and Model-Based Agents, and explore real-world applications. Follow along with a comprehensive step-by-step coding demonstration that builds a simple Goal-Based Agent in Python, combining theoretical knowledge with practical implementation for a complete understanding. The tutorial includes access to GitHub code resources for hands-on practice and is suitable for both AI beginners and developers looking to implement intelligent systems.
