Introduction to artificial intelligence (AI) and concentrates on the application of state-of-the-art machine learning (ML) algorithms for solving real-world problems. The covered topics include data preparation, training, evaluation, metrics, supervised learning (regression, classification, neural networks, deep learning, convolutional neural networks, and recurrent neural networks), basics of unsupervised and reinforcement learning, and recommender systems. This course has practical assignments and term project.