T1.2For students

AI for Food Specialists

AI Literacy, the EU AI Act and European Values

A free course on working with artificial intelligence safely and usefully in your studies and future profession. No complicated jargon, with examples from food technology.

Register now View topics
  • Registration open
  • Limited number of places
  • Free of charge
  • Erasmus+ participation certificate
  • No grades or scores
10
course topics
30
hours of classes
2
ECTS credits
130
case studies from food production

Documents we work with

  • EU AI Act (Regulation 2024/1689)
  • GDPR
  • Charter of Fundamental Rights of the EU
  • Digital Decade 2030
  • Regulation (EU) 1169/2011 on food information to consumers
  • ALLEA Code (2023)
  • HACCP principles

About the course

The course was created within the Erasmus+ Jean Monnet project «EU TRUST AI» at the Department of Food Product Expertise, National University of Food Technologies (NUFT). It is for people who do not code but already use chatbots or will soon meet AI at work.

You will learn how AI tools work, why they make mistakes and what EU rules say about it. Every topic is backed by practice: case studies from the dairy, meat, bakery and other industries, practice trainers and self-study tasks.

What the course covers

10 topics in three parts, each with a lecture and a practical session.

Part 1

The EU digital landscape and rights

  1. Topic 1. Prospects and opportunities: the EU Digital Strategy and the «Digital Decade 2030»

    Where EU digital policy is heading and what it means for the food industry and your profession.

  2. Topic 2. Types of AI models and how to choose them

    How generative AI differs from predictive and specialised AI, and which tool to use for a specific task.

  3. Topic 3. Subjectivity and bias: can the same AI hold different opinions?

    Why AI answers the same question differently and how to spot a biased answer.

  4. Topic 4. Data governance and self-protection: GDPR and the AI Act

    What you can and should not type into a chatbot: personal data, recipes, trade secrets.

Part 2

Responsibility and ethics

  1. Topic 5. Human oversight: Article 14 of the AI Act

    Where decisions must stay with people: quality control, HACCP, product safety.

  2. Topic 6. Equal access and the digital divide: non-discrimination under Article 21 of the Charter

    Whom AI may «not see» and how to make solutions accessible to everyone, including labelling and allergen information.

  3. Topic 7. Using AI effectively in practice

    How to write prompts with the RACE framework and build AI into your studies and work.

Part 3

Verification and integrity

  1. Topic 8. Data verification and validation

    How to check AI answers against primary sources: regulations, standards, scientific databases.

  2. Topic 9. Prohibited AI practices in the EU: cases under Article 5 of the AI Act

    We analyse real situations: what is banned in the EU and what counts as high risk.

  3. Topic 10. AI versus AI or together with AI: academic integrity

    How to use AI honestly in coursework, reports and theses under the ALLEA European Code of Conduct for Research Integrity.

After the course you will be able to

  • Choose the right AI tool for a task and understand where it can go wrong
  • Write prompts that give a useful answer on the first or second try
  • Check AI answers against regulations, standards and scientific sources
  • Protect personal data and commercial information when working with chatbots
  • Recognise prohibited and high-risk AI practices under the AI Act
  • Use AI honestly in coursework and qualification papers

Why it matters for students

AI already works next to the food technologist. What matters is knowing when to trust it and when not to.

AI is already in production

AI-based systems are used in quality control, planning and marketing at food companies. A specialist who understands their capabilities and limits is more valuable to the team.

EU rules apply to us too

Ukrainian food businesses working with the EU market have to take European rules into account, including the AI Act and GDPR.

Fewer mistakes in your studies

AI can make up sources, standards and figures. You will learn to notice this before a mistake ends up in your coursework or report.

A recognised result

At the end you receive an Erasmus+ participation certificate. The course can be recognised as non-formal education under the NUFT regulation.

How the course works

  1. Registration

    Fill in the form at the bottom of this page. We will email you the start date and the schedule.

  2. Entry test

    10 short questions to see where you are starting from. No grades.

  3. Lectures and practice

    20 hours of lectures and 10 hours of practical sessions, with trainers and case studies in between.

  4. Final test

    The same questions at the end, so you can see your progress.

  5. Certificate

    An Erasmus+ participation certificate and the option to have the course recognised as non-formal education.

What you will have at hand

Trainers

14 trainers on the course topics: short «choose an option» situations, levels, medals and a daily task.

Open

Food specialist case bank

130 practical case studies from ten industries: from milk and bread to baby food.

Open

Workshop

Live games in class: the «Arena» quiz, team boards, scenarios and quests.

Open

Registration

Registration open

Places
Limited number of places

After you register, we will email you the start date, the schedule and access to the course platform.

Apply for the course

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By sending the application you agree that the course organisers will use this data only to contact you about the course.

Frequently asked questions

Do I need technical knowledge?

No. The course is designed for non-technical programmes: a minimum of jargon and examples from food technology.

Will there be grades?

No. You take an entry and a final awareness test to see your progress. Points in the trainers are just a game.

Is it paid?

No. The course is free of charge and funded by the European Union under the Erasmus+ programme.

Can the course be recognised?

Yes, as non-formal education under the NUFT Regulation on non-formal education. The course workload is 45 hours including self-study, i.e. 1.5 ECTS credits.

What do I need?

A laptop or a smartphone with internet access. The AI tools we work with have free versions.

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