AI and Machine Learning

This course provides a broad overview of the fields of artificial intelligence and machine learning. Students will learn fundamental concepts and algorithms that enable computers to mimic human intelligence for tasks such as pattern recognition, prediction, optimization, and decision-making. Topics in this course include, but are not limited to, supervised learning algorithms, unsupervised learning algorithms, reinforcement learning for sequential decision-making, deep learning using multiple hidden layers, natural language processing for text and speech, computer vision for image and video processing, generative AI (ChatGPT, Midjourney, Stable Diffusion, etc.), ethical practice of AI, biases, and social impact. In this course, students will gain hands-on experience applying AI techniques and machine learning algorithms in building intelligent systems. Programming will be done in languages such as Python.