AI in Nutrition and Dietetics
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Course Overview
Program Syllabus
Module 1
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.
Module 2
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
Module 3
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI in Nutrition and Dietetics
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
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.
Module 4
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.
Module 6
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
Module 7
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 8
Publication Opportunity
Get published in a prestigious open-access journal.
Module 9
Centre of Excellence
Become part of an elite research community.
Module 10
Networking & Learning
Connect with global researchers and mentors.
Module 11
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
Module 12
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