focuses on the design, analysis, and implementation of algorithms used in artificial intelligence. The course covers topics such as search algorithms, optimization techniques, machine learning foundations, and neural networks. Students explore supervised, unsupervised, and reinforcement learning methods, gaining hands-on experience with AI tools and frameworks. This course equips students with the skills to develop intelligent systems and solve complex computational problems.