Enroll Course: https://www.coursera.org/learn/rengong-zhineng
The ‘Artificial Intelligence – Search & Logic’ course on Coursera offers a profound deep dive into foundational AI techniques that have shaped the field since its early days. Structured into two parts, the course begins with an introduction to core AI concepts, before exploring advanced search algorithms and logical reasoning methods.
One of the standout features of this course is its thorough coverage of various search strategies, including uninformed, informed, non-classic, and adversarial search techniques. These are essential for understanding how AI agents navigate complex problem spaces effectively. The course also delves into logical reasoning, covering propositional logic, first-order logic, and planning—skills that are critical for developing intelligent systems capable of autonomous decision-making.
What makes this course particularly valuable is its historical perspective, demonstrating how these techniques evolved during the first and second AI waves from the 1950s through the 1990s, yet still remain highly relevant today across industries like game development, robotics, and data analysis.
I highly recommend this course to students and professionals interested in building a solid foundation in AI. Whether you’re aiming to apply these techniques to your own projects or to deepen your understanding of AI principles, this course provides both theoretical knowledge and practical insights. Its structured syllabus and clear teaching style make complex topics accessible, making it an excellent entry point for beginners and a valuable refresher for seasoned practitioners.
Enroll Course: https://www.coursera.org/learn/rengong-zhineng