This course is designed to give students a practical, ethical, and forward-thinking foundation in AI to support data analysis, product development, and evidence-based decision-making. This course is open to students across the Sciences and Arts, with emphasis on the application of AI technologies in food, nutrition, and health-related disciplines. It will be delivered in an asynchronous, self-paced format, complemented by optional opportunities for instructor and peer engagement.
This course is designed to give students a practical, ethical, and forward-thinking foundation in AI to support data analysis, product development, and evidence-based decision-making. This course is open to students across the Sciences and Arts, with emphasis on the application of AI technologies in food, nutrition, and health-related disciplines. It will be delivered in an asynchronous, self-paced format, complemented by optional opportunities for instructor and peer engagement.