AIoT Edu

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.

The start of all events is at 17:00h.

Link for the Zoom meetings: https://us06web.zoom.us/j/8342653096?pwd=EyWKWUrP8j9ODCallHOPu5jrmCVSxy.1

Week 119.1.2026-23.1.2026Lecture, 2-3 classes + discussionMaterial – to be published
Day 1
19.1.2026, 17:00
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”
Prof. Dr Radovan Stojanović [PDF]
Jovan Đurković [PDF]
Azra Rastoder, Stanka Mišeljić i Dubravka Šćekić [PDF]
Vesna Miranović [PDF]
Day 2
20.1.2026, 17:00
Prof. dr Marko Simeunović, Dejan Jokić, University of Donja Gorica, MoDrone, Burch University Sarajevo “AIoT-based drone systems”Prof. dr Marko Simeunović, Dejan Jokić [PPT]
Video
Day 3
21.1.2026, 17:00
Prof. dr Vesna Maraš, Univerzitet Crne Gore, Vasilije Mirović, Plantaže, Jovan Đurković, MECOnet,
“AIoT in smart agriculture”
Prof. dr Vesna Maraš [PDF]
Vasilije Mirović [PDF]
Day 4
22.1.2026, 17:00
Dejan Jokić, Burch University Sarajevo, Duško Petrović, Digit Montenegro, “Application of AIoT in systems for predicting and managing natural and man-made disasters”Dejan Jokić [PDF]
Duško Petrović[PDF]
Day 5
23.1.2026, 17:00
Matija Stojanović, University of Montenegro,
“Legal aspects of AI application”
Matija Stojanović [PDF]

WEEK #2: Practical part of the training, laboratory, in-venue, 15 classes in total.

Place: UPBEAT HUB, Event and Training Centre, Kuća Čubranović 1630,  Stara Varoš

Address:36 Kralja Nikole St., Podgorica, Montenegro

The start of all events is at 17:00h.

Week 226.1.2026-30.1.2026Practical exercises, verification & defining a practical task, 2 classes + discussionMaterial – to be published
Day 1
26.1.2026, 17:00
Prof. dr Radovan Stojanović, Jovan Đurković, Dubravka Šćekić, Azra Rastoder, Stanka Mišeljić, University of Montenegro and MANT, “AIoT systems in medicine”Prof. dr Radovan Stojanović [PDF]
Nano 33 BLE akvizicija – program
Dubravka Šćekić, Azra Rastoder, Stanka Mišeljić Uputstvo za Edge Impulse[PDF]
Day 2
27.1.2026, 17:00
Prof. dr Marko Simeunović, University of Donja Gorica, AIoT-based drone systemsProf. dr Marko Simeunović[PDF]
Day 3
28.1.2026, 17:00
Duško Petrović and Bojan Marašević, Digit Montenegro, “Application of IoT Application of AIoT systems in predicting natural and man-made disasters and smart city”Duško Petrović and Bojan Marašević [PDF]
Day 4
29.1.2026, 17:00
Dejan Jokić, Burch University, Duško Petrović, Digit Montenegro, “KiCad Workshop”Dejan Jokić[PDF]
Day 5
30.1.2026, 17:00
Defining the projects. Lecturers will present their thematic projects with instructions and deadlines for their completion.

WEEK #3, #4 (2.2.2026): Practical work on a thematic project, in groups, both online and in-person. Ceremonial presentation of results, evaluation and awarding of Certificates.

WEEK #4 (9.2.2026): Candidate self-study, homework, literature review, Internet, team discussion.

Team

More detailed biographies of our team can be found in the following attachments:

1. Radovan Stojanović – CV
2. Jovan Đurković – CV
3. Vesna Miranović – CV
4. Marko Simeunović – CV
5. Dejan Jokić – CV
6. Vesna Maraš – CV
7. Duško Petrović – CV
8. Vasilije Mirovic – CV
9. Matija Stojanović – CV
10. Dubravka Šćekić – CV
11. Azra Rastoder – CV
12. Stanka Mišeljić – CV

Participants

After the process of selection, the following candidates are granted free participation in the CPS&IoT Academy – AIoT EDU:

1. Jelena Grbović
2. Dejan Zejak
3. Milovan Kadić
4. Andrej Radović
5. Viktor Vuković
6. Maida Kurtagić
7. Amela Murić
8. Milica Roganović
9. Milica Redžić
10. Radomir Vemić
11. Emir Drešević

We are presenting some of them here:

Events/Activities Workflow

DateEvent content/Media
21. 8. 2025.Official Signing of the Agreement Between the “Innovation Fund of Montenegro” and NGO “MANT” for the Implementation of the Academy

21.08.2025.Open Applications to the AIoT Edu Academy
 24.-26. 09. 2025.Participation of AIoT at Science Festival of Montenegro


19.1.2026.Day 1 – Online Kickoff & Intro Sessions | [ Video lessons]
Program overview, AIoT in medicine (WHC), practical AIoT examples, and AI on the Edge introduction, Artificial Intelligence in Medicine
20.1.2026.Day 2 – Online Session | AIoT-based Drone Systems | [ Video lessons]
Theoretical foundations of AIoT-based drone systems, hardware design and implementation, real-world drone applications.
21.1.2026.Day 3 – Online Session | Smart Agriculture | [ Video lessons]
An interdisciplinary session exploring how AIoT is applied in smart agriculture
22.1.2026.Day 4 – Online Session | Application of AIoT in Systems for Predicting and Managing Natural and Man-Made Disasters.| [ Video lessons]
A session focused on applying AIoT technologies for disaster prediction, early warning systems and intelligent management of natural and man-made crises.
23.1.2026.Day 5 – Online Session | Legal aspects of AI application| [ Video lessons]
A lecture addressing legal frameworks, ethical challenges, and regulatory issues in the application of artificial intelligence.
26.1.2026.Day 1 – Practical Training | AIoT systems in medicine
A practical session focused on real-world AIoT pipelines and microcontroller-based applications, with hands-on examples in medical systems and edge computing.



27.1.2026.Day 2 – Practical Training | AIoT-based drone systems
A hands-on session exploring how AIoT technologies are applied in drone systems for real-time data processing, monitoring and intelligent decision-making.


28.1.2026.Day 3 – Practical Training | Application of IoT Application of AIoT systems in predicting natural and man-made disasters and smart city
A hands-on session demonstrating how AIoT systems are applied in disaster prediction and smart city scenarios using real data and practical examples.

29.1.2026.Day 4 – Practical Training,- Online Session | KiCad Workshop
A hands-on workshop introducing the practical use of KiCad for designing electronic schematics and PCB layouts.

30.1.2026.Day 5 | Defining the projects and groups
A session where lecturers present thematic projects, explain requirements and define timelines and expectations for successful completion.
VideoRecapWeek#2

Friends of the Academy

TRONY NETWORK
Kotor, Montenegro

https://trony.me/

DIGIT MONTENEGRO
Podgorica, Montenegro

Management