Available courses

AI in Food Processing - Full

This course modules will highlight the following:

  1. The Food Value Chain & Role of AI
  2.  AI Fundamentals: Machine Learning, Deep Learning & Computer Vision for Food
  3.  Data Infrastructure & IoT in Food Processing
  4.  Ethics, Governance & Regulation in AI-driven Food Systems
  5.  Sustainability, Traceability & the Smart Food Factory Concept
  6.  Smart Farms and AI in Emerging Economies
  7. Case Study: AI in Fresh Produce Logistics and Cold Storage
  8. Case Study: AI in Milling, Cleaning & Primary Processing
  9.  Automation & Robotics in Secondary Processing Lines
  10.  AI in Thermal, Extrusion & Mixing Processes
  11.  AI in Food Product Design: From Concept to Prototype
  12. AI-Driven Flavour, Texture & Nutritional Optimization
  13. Smart Packaging & Embedded AI Sensors
  14. AI in Consumer Behaviour & Market Analytics 
  15. Future Trends: Autonomous Plants & The Next Decade of AI in Food 

Purpose of Course:

This course is designed to provide an overview of AI applications in food processing and will enable a professional in the food industry, at any stage in their career, to equip themselves to face the future.

Key Benefits:

  • Understand the agri-food value chain and Discover key concepts in AI and ML
  • Apply the learning to your own role
  • Place yourself at the cutting edge of technology deployment in the food industry 
  • Certificates will be provided upon successful completion

AI in Food Processing - Core

Core Level – Foundations of AI in Food Systems
Introduces the role of AI across the food value chain and explains key technologies such as machine learning, deep learning, and computer vision, along with examples from smart farming, primary processing, and AI-driven product design.

What You Will Gain:

  • Understanding of AI technologies relevant to food processing
  • Apply the learning to your own role
  • Exposure to future trends shaping AI-driven food systems
  • A strategic perspective on data-driven innovation in the food industry

AI in Food Processing - Advance

Advance Level – AI Applications in Food Processing
Explores practical applications of AI in manufacturing and operations, including intelligent processing systems, logistics and cold chains, data infrastructure, product formulation optimization, and smart packaging technologies.

What You Will Gain:

  • Understanding of AI technologies relevant to food processing
  • Apply the learning to your own role
  • Exposure to future trends shaping AI-driven food systems
  • A strategic perspective on data-driven innovation in the food industry

AI in Food Processing - Executive

Executive Level – Strategy & Future Food Systems
Focuses on the broader impact of AI in the food industry, covering sustainability, traceability, automation and robotics, AI-driven consumer insights, and the emerging concept of autonomous food factories.

What You Will Gain:

  • Understanding of AI technologies relevant to food processing
  • Apply the learning to your own role
  • Exposure to future trends shaping AI-driven food systems
  • A strategic perspective on data-driven innovation in the food industry

FNS 2025

Delve into the science of your everyday nutrition

This course is designed to equip students with a solid foundation in nutrition science, empowering them to make informed decisions about their own health and contribute to the promotion of healthy lifestyles. Calling the young students of relevant interdisciplinary fields from Indian academia to participate in this course. 

 Fundamentals of Nutrition Science 2025 - FREE E-Course developed by F1rst, Powered by Nestlé

This course modules will highlight the following:

  1. Introduction to nutrition
  2. Macronutrients: Carbohydrate, protein, fat
  3. Micronutrients: Vitamins and minerals
  4. Hydration
  5. Nutrition throughout the life cycle
  6. Understanding and managing dietary restrictions
  7. Developing healthy eating habits and balanced meal plans
  8. Impact of processing on nutrition
  9. Nutrition labeling
  10. Regulations - FSSAI 

Purpose of Course:

This course is designed to equip students with a solid foundation in nutrition science, empowering them to make informed decisions about their own health and contribute to the promotion of healthy lifestyles.

Key Benefits:

  • Enhanced knowledge of nutrition concepts
  • Skill development in diet planning & food labeling
  • Career opportunities in nutrition & food science
  • Community impact through healthier lifestyles 
Speakers:

FNS 2025 Speakers

Cracking the Code: A Masterclass on Understanding Food Labels (2023-24)

COURSE OVERVIEW

This course modules will highlight the following:

  • Objective and issues of food labels
  • Elements in food labels
  • Future of food labelling
  • Labelling requirements: FSSAI
  • Exercise/Case study

Purpose of Course:

Food producers worldwide are striving to offer consumers product details aligned with health preferences and values. Consequently, food labels have emerged as crucial tools for providing insights into various facets of production, encompassing environmental, technical, socioeconomic aspects, and health and safety attributes of food items.

Why This Matters?

The increasing interest in food labels presents challenges for government authorities tasked with ensuring that the information on food packaging is both informative and credible, presented clearly to prevent potential consumer misinterpretation. In an era of extensive global food trade, harmonizing food labeling standards is vital to maintaining information that is both comprehensible and relevant to diverse markets.

However, the field of food labeling is intricate and multifaceted. Our course delves into the manifold roles food labeling fulfills and offers insights into the crucial reasons for acquiring expertise in this skill. Join us to understand why mastering the art of decoding food labels is a worthwhile investment of your time.

Speaker

Mr. Suresh Chander MR. SURESH CHANDER

Mr. Suresh Chander, the R&D Lead for Product Development & Applications at Arboreal Bio Innovations. He earned his master's degree in food science from the University of Helsinki, Finland, and has accumulated over 10 years of experience in this field. His primary focus at Arboreal has been on developing solutions based on 'stevia' for various product categories. Before joining Arboreal, he worked as a Senior Associate Scientist at Cavinkare Chennai.


Sugar Reduction Reformulation Expert Course (2022-23)

Sugar Reduction Reformulation Expert Course

Masterclass in Processed Indian Traditional Foods | FREE Course

Masterclass on PITF
 

Processed Indian Traditional Foods-Batch#3 (2022-23)

Batch3 

Processed Indian Traditional Foods-Batch#2 (2021-22)

PITFB#2 

Processed Indian Traditional Foods - Batch#1 (2021-22)

PITFB#1 

Processed Indian Traditional Foods - Demo

PITF Demo