"Applied AI" is a course that teaches the practical applications of Artificial Intelligence and its various subfields, such as machine learning, computer vision, and natural language processing. The course aims to equip students with hands-on experience in designing and implementing AI solutions to real-world problems. Students learn to use various AI algorithms and tools, such as TensorFlow, Keras, PyTorch, and more, to create models that can perform tasks such as image classification, speech recognition, and language translation. The course typically covers topics such as supervised and unsupervised learning, neural networks, deep learning, and more.
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