Difficulty: Beginner. Categories: Core Programming AI.
Algorithm and Data Structure course introduces students to the fundamental structures and algorithmic techniques that power modern artificial intelligence systems. Through a practice-centered approach, students learn to analyze algorithm efficiency, implement core data structures such as arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs, and understand how these structures enable scalable and efficient AI applications. Each topic is connected to real machine learning and data processing scenarios such as batch handling, vocabulary indexing, decision trees, top-k retrieval, and graph-based recommendations. By combining conceptual foundations, hands-on coding, PCL mini-projects, and AI-driven problem solving, the course equips students with essential algorithmic thinking and prepares them for advanced AI coursework, engineering roles, and technical interviews.
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