Here are some good courses and programs to learn AI at the university level:

• Artificial Intelligence: This is a core AI course that will teach you the basics of AI, machine learning, deep learning, computer vision, natural language processing, robotics, and expert systems. It covers theoretical concepts and practical applications of AI.

• Machine Learning: A popular course focused on machine learning algorithms, training data sets, metrics, and application of machine learning methods to problems like classification, regression, clustering, etc. It provides hands-on experience with machine learning libraries like scikit-learn, TensorFlow, Keras, etc.

• Deep Learning: Teaches deep neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, generative models and their applications. Provides practical experience building and training deep learning models.

• Computer Vision: Covers techniques for image recognition, object detection, facial recognition, scene understanding, 3D vision, visual question answering and more. Teaches how to apply computer vision to applications like autonomous driving, facial analysis, image classification, etc.

• Natural Language Processing: Teaches how to process human language as data using AI. Covers topics such as text classification, named entity recognition, machine translation, sentiment analysis, chatbots, language generation and understanding.

• Robotics: Focuses on AI that powers intelligent robots and agents. Includes topics like robotics systems, kinematics, dynamics, locomotion, navigation, manipulation, robot vision, machine learning for robotics, motion planning, etc.

• Cognitive Science: An interdisciplinary course that examines the nature of the human mind and how it works. Combines insights from AI, philosophy, psychology, neuroscience, linguistics and other fields to understand intelligence, cognition, perception, learning, memory, problem solving, language, reasoning, etc.

• Master's or PhD Program in AI/Machine Learning: For deeper study of AI and research. Includes advanced courses as well as opportunities for research, internships, projects, publication and mentorship. Prepares you for a career as an AI researcher or practitioner.

These courses and programs will provide a strong foundation in AI and its applications. Be sure to also join student clubs, complete internships, build your own projects, participate in competitions, and stay up-to-date with advancements in the field. Learning AI is a continuous process. I hope this helps! Let me know if you have any other questions.
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