PhDAI 833 - Data Engineering for AI

Credit(s): 3 hours
This course comprehensively explains the data engineering techniques required to support artificial intelligence (AI) systems. Students will learn to design, build, and maintain data pipelines, manage large-scale datasets, and ensure data quality and security. Topics include data modeling, ETL (Extract, Transform, Load) processes, cloud data storage, and database management systems, with a focus on their role in enabling AI applications. Through hands-on projects and real-world scenarios, learners will develop the technical skills needed to prepare and optimize data for machine learning and AI-driven decision-making.