AgriAcademy is now accepting registrations for a new free practice-oriented course, “The Application of Artificial Intelligence Technologies in Agricultural Production,” designed for representatives of small and medium-sized agricultural businesses, agricultural enterprise managers, agricultural consultants, and technology specialists.
The course was created by a team from the non-governmental organization “Club of Experts,” which participated in an open competition for proposals to develop online training courses held by the Food and Agriculture Organization of the United Nations (FAO) in partnership with the Ministry of Agrarian Policy and Food of Ukraine and the Ministry of Education and Science of Ukraine in 2025 with the aim of overcoming the shortage of professional knowledge and skills in the agricultural sector, food and processing industries, with a focus on representatives of small and medium-sized businesses (SMEs) in Ukraine.
The agricultural sector is entering a phase where competitiveness is determined not only by production technologies, but also by the quality of data processing. While a few years ago AI was perceived as an experimental technology, today it is becoming a basic tool for managing yields, resources, risks, and market strategies. The new course helps to move from a theoretical understanding of AI to practical implementation with measurable economic results.
What participants will gain
Upon completion of the course, participants will be able to:
understand how AI models work in the agricultural sector;
assess the economic feasibility of implementing AI;
build simple prototypes of yield forecasting models;
work with multi-source data (sensors, satellites, weather, production logs);
develop a roadmap for the digital transformation of the enterprise;
avoid common mistakes in implementing expensive but ineffective digital solutions.
Course program: from basic principles to management decisions
Introduction. AI as a new infrastructure for agricultural production
The transition from intuitive management to data-driven approaches. How to start with a pilot and quickly assess the effect.
Module 1. Artificial intelligence opportunities for agribusiness
machine learning and generative AI in the agricultural sector;
working with agricultural data and sensor infrastructure;
automation of analytics and management processes;
forming the data architecture of an enterprise.
Practice: analysis of the possibilities of implementing IoT and Big Data in your own business.
Module 2. Resource optimization and productivity improvement
Yield forecasting and climate risk management;
Use of satellite and field data;
Optimization of water, energy, and bioenergy processes;
Building AI forecasting models.
Practice: Creating a prototype yield forecasting model based on multisensor data.
Module 3. Implementing AI in business management
AI in animal husbandry, logistics, sales, and finance;
KPI automation and digital project management;
scaling and adapting international experience;
evaluating the ROI of digital solutions.
Practical exercise: developing an AI implementation plan for your own enterprise.
Key learning outcome
The course provides a systematic overview of the use of artificial intelligence, from data collection to management decisions. Agriacademy participants will learn not only to test technologies, but also to build economically sound digital solutions for real agribusinesses.
Course authors and instructors
Experts at the intersection of IT, science, business, and management are involved in teaching:
Artem Goncharenko – IT entrepreneur, president of the International Transfer Technology Association, expert in technological development and digital monitoring systems.
Andriy Stanko – Doctor of Computer Science, expert in IoT, Smart City, monitoring systems, and sustainable development.
Oleksandr Morozov-Leonov – AI specialist, researcher in the field of computing technologies.
Maksym Urakin – PhD in Economics, founder of the NGO “Club of Experts,” expert in analytics and economic processes.
Who is this course for
owners and managers of agricultural enterprises;
agricultural managers and technologists;
specialists in the digitalization of the agricultural sector;
agricultural market consultants and analysts;
representatives of agricultural SMEs planning digital transformation.
How to join
Registration is now open on the AgriAcademy platform!
The course will be a practical tool for those who want to move from reactive management to a predictive, information-oriented agribusiness model.
The course is free and open to all registered users of the AgriAcademy platform.
Participants can study the materials online at their convenience, without time restrictions, and after successfully completing the final test, they will receive a certificate.
AgriAcademy is a free online learning platform created on the initiative of the EBRD as part of its food security support program in Ukraine. Its goal is to strengthen the competitiveness and sustainable development of agriculture, which has suffered significant losses due to the war.
The creation and management of the platform (including the development of courses, training tours, etc.) is carried out with the support and funding of the EBRD, as well as:
The EBRD’s Multilateral Donor Account for Stabilization and Sustainable Growth in Ukraine (donors: Denmark, Finland, France, Germany, Italy, Japan, the Netherlands, Norway, Poland, Sweden, Switzerland, the United Kingdom, the United States, and the European Union as the largest donor);
The Republic of Ireland through the EBRD Small Business Promotion Fund (other donors to the fund: Italy, Japan, South Korea, Luxembourg, Norway, Sweden, Switzerland, Taipei China, and the United States);
The Food and Agriculture Organization of the United Nations (FAO).
