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AI in Nutrition and Dietetics
Discover how AI is transforming nutrition and dietetics. This course offers insights into personalised nutrition, predictive health models, and smart dietary planning using artificial intelligence.
Early access to e-LMS 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
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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