Erasmus Courses Croatia is the #1 Croatian centre of expertise in Artificial Intelligence (AI) in Education. We help teachers and schools across Europe understand AI, use it well in the classroom and lead the change in their own institutions.
Artificial Intelligence is changing how students learn and how teachers plan, assess and communicate. Many schools ask the same questions: Which AI tools are worth using? How do we build AI literacy without losing critical thinking? Who guides colleagues through the change?
We answer these questions with tested methods, not theory alone. Our AI in education work rests on European cooperation, real classroom pilots and a clear model for leadership in schools.
AI adoption succeeds when teachers guide teachers. We helped shape and test the AI Navigator model: a trained teacher who introduces AI in their school, mentors colleagues and keeps the focus on pedagogy, not on technology for its own sake.
Use AI tools to personalise learning, save planning time and encourage creativity and problem solving.
Understand what AI can and cannot do, and teach students to use it critically and responsibly.
A clear framework of the skills and knowledge educators need to work with AI effectively.
We do not work alone. Our AI in education work brings together teachers’ trade unions, training providers, educational partners, and schools from all over EU. This mix means our approach reflects what teachers and school leaders really need.
Teacher trade unions bring the voice of educators on the ground, ensuring that any change protects teacher autonomy, workload and professional judgement rather than imposing technology from the top down. Their involvement helps keep AI adoption realistic and fair for the people who will actually use it every day. This builds the trust needed for change to take root in classrooms rather than stay on paper.
Educational technology partners bring up-to-date knowledge of the tools, platforms and trends shaping AI in education, keeping the work grounded in what is actually usable in classrooms today. They help bridge the gap between fast-moving technology and the practical realities of teaching, so we stay relevant rather than theoretical. Their input ensures that what teachers learn is reliable and fit for educational use.
Schools that pilot new approaches in real classrooms turn ideas about AI in education into evidence, showing what actually works with real students and real constraints. Their day-to-day experience grounds the whole effort in classroom reality rather than assumptions made outside it. Involving schools directly ensures that any recommendations are tested, refined and genuinely ready before they are shared more widely.
Our expertise is anchored in the Erasmus+ Key Action 2 cooperation project AI Navigators: Empowering Teachers for the AI Era (2024–2026). The project is the evidence; the result for you is practical AI knowledge, tried in real schools.
Building AI literacy across European Union.
Teachers trained to mentor their peers.
Testing AI in their own classrooms.
Plus an AI competence model for educators.
Explore free resources and lesson plans on the AI Navigators project website.
Erasmus Courses Croatia (Adult Education Centre Maksima) works on AI in education with teacher unions, national training organisations and European partners, and offers AI teacher training courses in Croatia.
An AI Navigator is a teacher trained to lead the introduction of artificial intelligence in their school and to mentor colleagues. The model was developed in the Erasmus+ AI Navigators project.
Start with AI literacy, then move to practical use in lesson planning, assessment and student activities. Our courses combine both, guided by trainers with hands-on experience from European projects.
Yes. Our courses are designed for teachers and school staff who use Erasmus+ mobility funding.
Join our AI teacher training courses in Croatia and bring practical, classroom-tested AI skills back to your school.
| Location | Starting Date | Register |
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| Split | 13 Sept. 2026 | |
| Split | 26 Sept. 2026 | |
| Split | 10 Oct. 2026 | |
| Split | 24 Oct. 2026 | |
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| Split | 24 Oct. 2027 | |
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| Split | 5 Dec. 2027 |
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