AAIT270 — Applied AI Projects
AAIT 270 - Applied AI Projects AAIT 270 - Applied AI Projects Students will work in teams to complete a substantial project that applies AI methods such as supervised learning, unsupervised learning, deep learning, natural language processing, and reinforcement learning. Through iterative development, students will practice critical aspects of the AI lifecycle including problem definition, data collection and preprocessing, model training and evaluation, ethical considerations, and deployment strategies. Emphasis is placed on project planning, documentation, ethical and responsible AI practices, and presenting
Prerequisites: AAIT216