Undergraduate Certificate in AI for Nutrition and Aging
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⢠Introduction to Artificial Intelligence (AI) – Understanding the basics of AI, its applications, and potential in the field of nutrition and aging. ⢠Nutritional Genomics – Exploring the relationship between nutrition and genetics, and how AI can help in personalized nutrition plans. ⢠AI in Food Science – Learning about the use of AI in food science, including food safety, quality control, and production optimization. ⢠Machine Learning for Nutrition & Aging – Understanding the various machine learning techniques and algorithms, and their application in nutrition and aging. ⢠Natural Language Processing for Nutrition & Aging – Analyzing unstructured data from electronic health records (EHRs), social media, and other sources to extract meaningful insights. ⢠Computer Vision for Nutritional Assessment – Utilizing computer vision techniques to analyze food images for nutritional assessment. ⢠AI-powered Nutrition and Aging Interventions – Designing and implementing AI-powered interventions to promote healthy aging and nutrition. ⢠Ethical and Legal Considerations in AI for Nutrition and Aging – Examining the ethical and legal implications of using AI in nutrition and aging, including data privacy and security. ⢠Capstone Project in AI for Nutrition and Aging – Applying the knowledge and skills gained in the program to a real-world project involving AI and nutrition and aging.
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