Edukacija o primjeni Vještačke inteligencije u Internetu stvari – AIoT Edu, (eng. Education on the Application of Artificial Intelligence in the Internet of Things)
S3EDU-034-25
About
The AIoT Edu project aims to develop an educational program on the application of artificial intelligence in the Internet of Things for Montenegro and the region. The program will later evolve into a microcredential within the MANT platform for microcredentials, the launch of which is expected after the legal conditions for this activity are provided in Montenegro.
The general goal of the training is the establishment, pilot implementation and sustainability of informal education in the field of application of artificial intelligence in the Internet of Things, and its development into a microcredential.
Specific goals include: development of a curriculum for informal education and training in the AIoT area, pilot implementation of the developed curriculum with the first generation of participants, development of AIoT Edu into a microcredential when the legal conditions are created, and provision of human resources for the potential development of this area in Montenegro. The AIoT Edu project is designed as a theoretical-practical course of informal education intended for high school students, students, technology professionals and anyone interested in this type of training.
Duration: 2025-2026.
Submissions
The number of spots is limited. Interested candidates are encouraged to complete the registration form. Please ensure that the application form is filled out accurately to increase your chances of being selected by the Selection Committee.
Programme & Teaching Materials
WEEK #1: Theoretical part of the training, online, 15 classes in total.
| Week 1 | Lecture, 2-3 classes + discussion | Material – to be published |
| Day 1 | Prof. dr Radovan Stojanović, Jovan Đurković, Vesna Miranović, Dubravka Šćekić, Azra Rastoder, Stanka Mišeljić, University of Montenegro and MANT, “Application of AIoT systems in medicine” | |
| Day 2 | Prof. dr Marko Simeunović, Dejan Jokić, University of Donja Gorica, MoDrone, Burch University Sarajevo “AIoT-based drone systems” | |
| Day 3 | Prof. dr Vesna Maraš, Univerzitet Crne Gore, Vasilije Mirović, Plantaže, Jovan Đurković, MECOnet, “AIoT in smart agriculture” | |
| Day 4 | Dejan Jokić, Burch University Sarajevo, Duško Petrović, Digit Montenegro, “Application of AIoT in systems for predicting and managing natural and man-made disasters” | |
| Day 5 | Matija Stojanović, University of Montenegro, “Legal aspects of AI application” |
WEEK #2: Practical part of the training, laboratory, in-venue, 15 classes in total.
| Week 2 | Lecture, 2 classes + discussion | Material – to be published |
| Day 1 | Prof. dr Radovan Stojanović, Jovan Đurković, Dubravka Šćekić, Azra Rastoder, Stanka Mišeljić, University of Montenegro and MANT, “AIoT systems in medicine” | |
| Day 2 | Prof. dr Marko Simeunović, University of Donja Gorica, “AIoT-based drone systems“ | |
| Day 3 | Prof. dr Vesna Maraš, Jovan Djurković, “IoT&AI systems in smart agriculture” | |
| Day 4 | Dejan Jokić, Burch University, Duško Petrović, Digit Montenegro, “Application of AIoT systems in predicting natural and man-made disasters and in measures to mitigate their consequences” | |
| Day 5 | Defining the projects. Lecturers will present their thematic projects with instructions and deadlines for their completion. |
WEEK #3: Practical work on a thematic project, in groups, both online and in-person. Ceremonial presentation of results, evaluation and awarding of Certificates.
WEEK #4: Candidate self-study, homework, literature review, Internet, team discussion.