Data Processing and AI

Course overview

Level: Advanced
Course duration: 1-4 weeks
Hours To Complete: 20 - 48 hours
Online
Mode: Asynchronous
Learn on your own time, without a precise schedule.
Available from 2026
Language(s): English
Certificate of completion
Deep tech

Course overview

Turning raw data into meaningful insights is increasingly important for improving decision-making and driving innovation. This course introduces the principles of data processing and artificial intelligence, exploring how data preparation, analysis, and AI techniques can be used to solve problems and improve processes in agricultural and industrial contexts. Participants will develop a foundation in data-driven methods and understand how AI can support more efficient, innovative, and sustainable operations.

What you will learn:

Fundamental concepts of data processing and artificial intelligence.
Methods for collecting, preparing, and analysing data.
Key AI techniques and their practical applications.
Use of data-driven insights to support decision-making.
Opportunities and challenges of applying AI to improve efficiency and sustainability.

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Skill set:

High level skills:

Understanding AI-driven farm decision-making
Understanding data-driven and autonomous agriculture
Understanding the agricultural data lifecycle

Unique skills:

Understanding farm data ecosystems with IoT and Big Data
Understanding FMIS
Understanding geospatial data with GIS and remote sensing
Understanding LLMs and Digital Twins in agriculture
Understanding machine learning and Explainable AI

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Data Processing and AI

Course overview

Skill set:

Offered with

Interreg Central Europe - Agri-Digital Growth consortium partners

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