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 1 – 19.1.2026-23.1.2026 Lecture, 2-3 classes + discussion Material – 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”
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”
Day 3
21.1.2026, 17:00
Prof. dr Vesna Maraš, Univerzitet Crne Gore, Vasilije Mirović, Plantaže, Jovan Đurković, MECOnet
“AIoT in smart agriculture”
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”
Day 5
23.1.2026, 17:00
Matija Stojanović, University of Montenegro
“Legal aspects of AI application”

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 2 – 26.1.2026-30.1.2026 Practical exercises, verification & defining a practical task, 2 classes + discussion Material – 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”
Day 2
27.1.2026, 17:00
Prof. dr Marko Simeunović, University of Donja Gorica
“AIoT-based drone systems”
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”
Day 4
29.1.2026, 17:00
Dejan Jokić, Burch University, Duško Petrović, Digit Montenegro
“KiCad Workshop”
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, #5: Practical work on a thematic project, in groups, both online and in-person, Prof. Dr Radovan Stojanović, Prof. dr Dejan Jokić & Prof. dr Marko Simeunović lead groups and their respective topics, 10 classes a week, 30 classes in total.

WEEK #6 (12.03.2026.): Ceremonial presentation of results, evaluation and awarding of Certificates.

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

Address:36 Kralja Nikole St., Podgorica, Montenegro

The start of the event is at 17:00h.

Project presentations and certificate awards Material
Group 1 – Project Presentation: Smart Posture Monitoring
A project focused on developing a smart system for monitoring body posture and promoting healthier sitting habits.
Andrej Radović, Viktor Vuković
Group 2 – Project Presentation: Fall Detection System
A project focused on detecting sudden falls and improving personal safety through intelligent monitoring technology.
Jelena Ćetković, Radomir Vemić
Group 3 – Project Presentation: Classification of Urban Traffic Sounds
A project focused on classification of sounds using TinyML on the Arduino Nano 33 BLE Sense Rev2.
Amela Murić

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:

Generation 2025/26

Out of 11 candidates who were granted free participation in the CPS&IoT Academy, 7 successfully completed the programme in the 2024/2025 academic year.

These participants were awarded certificates equivalent to 3 ECTS credits.

  • 1. Andrej Radović Winning Project
  • 2. Viktor Vuković Winning Project
  • 3. Jelena Ćetković
  • 4. Radomir Vemić
  • 5. Amela Murić
  • 6. Maida Kurtagić
  • 7. Dejan Zejak

Events/Activities Workflow

Date Details Event content/Media
21.8.2025. Official Signing of the Agreement Between the “Innovation Fund of Montenegro” and NGO “MANT” for the Implementation Official Signing of the Agreement
21.08.2025. Open Applications to the AIoT EDU
24–26.9.2025. Participation of AIoT Edu at Science Festival of Montenegro Science Festival of Montenegro 1 Science Festival of Montenegro 2
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 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.

Video Recap Week #2
WEEK2#RECAP
Seminar topics
12.3.2026. Ceremonial presentation of results, evaluation and awarding of Certificates

Group 1 – Project Presentation: Smart Posture Monitoring
A project focused on developing a smart system for monitoring body posture and promoting healthier sitting habits.
Andrej Radović, Viktor Vuković

Group 2 – Project Presentation: Fall Detection System
A project focused on detecting sudden falls and improving personal safety through intelligent monitoring technology.
Jelena Ćetković, Radomir Vemić

Friends of the Project

TRONY NETWORK
Kotor, Montenegro

https://trony.me/

DIGIT MONTENEGRO
Podgorica, Montenegro

Management