AED
UAD Dirham
Code: AED
Mentor Based
AI in Nutrition and Dietetics
Explore how AI powers personalised nutrition, predictive health, and smart dietary planning.
Early access to the e-LMS platform is included
About This Course
AI in Nutrition and Dietetics is a specialized 3-weeks online course designed to empower dietitians, nutritionists, healthcare professionals, and tech-savvy learners to integrate artificial intelligence into nutrition science. The course focuses on AI-powered tools for personalized diet planning, dietary data analysis, food tracking technologies, and predictive health risk assessments. Learners will explore real-world use cases, emerging AI trends, and ethical concerns surrounding AI in healthcare and nutrition practices.
Program Structure
- Week 1 – Foundations of AI in Nutrition:
- Introduction to Artificial Intelligence and Machine Learning fundamentals
- Overview of nutrition science and current digital transformation trends
- Understanding food databases, nutritional biomarkers, and structured dietary data
- Key tools: MyFitnessPal, USDA FoodData Central, NutriSurvey, and open-access APIs
- Week 2 – AI Applications in Diet Planning and Food Tracking:
- How AI builds personalized meal plans using medical, lifestyle, and genetic inputs
- NLP and image recognition in food tracking and meal logging apps
- Real-time feedback systems for nutrition coaching and smart assistants
- Case studies: AI in sports nutrition, pediatric nutrition, and metabolic disorders
- Week 3 – Predictive Analytics, Ethics & Implementation:
- Building predictive models for obesity, diabetes, and cardiovascular risk
- Deep learning for microbiome and nutrigenomics interpretation
- Data privacy, consent, and ethical issues in AI-led health personalization
- Hands-on mini-project: Develop a prototype recommendation model using dummy health data
Who Should Enrol?
- Nutrition Students and Professionals: BSc/MSc in Nutrition, Dietetics, or Food Science.
- Healthcare Practitioners: Medical professionals, nurses, and clinical researchers interested in AI-based dietary assessment.
- Tech Enthusiasts: Individuals with basic AI/ML knowledge seeking applications in health and wellness.
Program Outcomes
- Implement AI tools: Use AI-powered platforms for designing diet plans and analyzing food intake.
- Analyze Nutrition Data: Gain the ability to manage and interpret nutritional datasets using machine learning.
- Design Health Interventions: Create evidence-based, tech-enabled nutrition interventions for diverse populations.
- Stay Ahead in Nutrition Tech: Keep up with innovations in smart diet planning, wearable health monitoring, and predictive risk models.
Fee Structure
Discounted: ₹8499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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