Computer application ll-notes- artificial intelligence lecture notes

An Artificial Intelligence (AI) course typically covers fundamental concepts, techniques, and applications of AI. The syllabus often includes an introduction to AI, search algorithms, knowledge representation, machine learning, neural networks, and natural language processing. Advanced topics may cover deep learning, reinforcement learning, computer vision, and ethical considerations in AI. The course involves theoretical lectures, hands-on programming exercises (using languages like Python and frameworks like TensorFlow or PyTorch), and real-world AI applications in fields such as healthcare, finance, and robotics. Assessments may include quizzes, coding assignments, and project-based learning to develop AI models.