An Artificial Intelligence (AI) course typically covers fundamental concepts, techniques, and applications of AI. It begins with an introduction to AI, its history, and its impact on various industries. Core topics include machine learning, deep learning, natural language processing, computer vision, robotics, and expert systems. Students learn about algorithms such as neural networks, decision trees, and reinforcement learning, along with ethical considerations and AI's societal impact. Practical components may involve programming with Python, using AI frameworks like TensorFlow or PyTorch, and developing real-world AI applications. The course concludes with projects or case studies to apply learned concepts.