This course provides students with a rigorous foundation of concepts, theory, and methods in artificial intelligence (AI), covering core AI techniques including supervised/unsupervised learning, reinforcement learning, deep learning, computer vision, large language models, their applications in industry, and AI ethics and governance. Emphasis will be placed on both theoretical understanding and practical application of AI to real-world problems across industries. Students will gain the skills to design, evaluate, and deploy AI solutions effectively.

For a student to pass the course, at least 30% of the maximum mark for the examination should be obtained.