Professional Training
Courses

The training programme developed within the Food Chase project aims to prepare the innovative professional profile of the From-Farm-To-Fork Specialist through an asynchronous online learning approach. 

5 Modules

Comprehensive

Online Learning

Asynchronous

Digital Badges

Certified Skills

Work-Based

100h/module

About the Programme

Programme Overview

Participants will be able to access all training materials in digital format via the online platform and will enjoy unrestricted access to the course content, which will gradually become available upon completion of an introductory general module.

Programme Structure

The programme is structured into one general module and four specialised modules covering the following areas: ProductionProcessingDistribution, and Consumption.

Upon completion of the study units within each module, participants will receive digital badges certifying the skills and competencies acquired. Learners who successfully complete the entire training programme will be awarded a meta-badge recognising the full set of competencies achieved throughout the course.

Digital Badges & Meta-Badge

Upon completion of study units, participants receive digital badges certifying acquired skills. Complete the entire programme to earn a meta-badge recognising the full set of competencies.

100 Hours

per module completed

  • Practical experience opportunities
  • Strengthen developed competencies
  • Scaled to modules completed
  • Real-world application
Hands-On Experience

Work-Based Learning

The training pathway also offers participants the opportunity to take part in work-based learning activities after completing the online training modules. These activities are designed to provide practical experience and strengthen the competencies developed throughout the course.

The number of work-based learning hours available to each participant will depend on the number of modules completed. For every module attended, participants may undertake up to 100 hours of work-based learning.