“Key aspects and Governance of
Internet of Things, Big Data
and Artificial Intelligence”
28 – 29 October 2021
This course will focus on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It will cover Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course will include IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data. In that manner, the course will include Big Data overview, Big Data ecosystem and reference architecture, Big Data technologies and use cases, as well as business and regulatory challenges for Big Data. Artificial Intelligence (AI) is targeted for processing Big Data in Internet and telecom networks. In that regard the course will cover introduction to AI in ICT/telecom world, and AI applications in Internet and telecom worlds, including Machine Learning aspects for 5G mobile networks. The course will further include Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course will cover Internet governance with regard to IoT, Big Data, and AI.
This course is targeted at managers, engineers and employees from regulators, government organisations, telecommunication companies and academia, who are interested in understanding, implementation and regulation of Internet of Things (IoT), Big Data and Artificial Intelligence (AI), including technical, business and regulatory aspects. Other institutions and individuals that are dedicated in building their capacity related to IoT, Big Data and AI, including technical, business and regulatory aspects, are also welcome to participate.
At the end of the training, the participant should have gained an understanding
of the key aspects of:
- Introduction to Internet technologies and Internet of Things (IoT)
- IoT standards, architectures and interoperability
- IoT in 4G and 5G mobile networks
- IoT data security, privacy and trust
- IoT business aspects, policies and regulations
- Big Data ITU’s framework, ecosystem and architectures
- Artificial Intelligence (AI) fundamentals in Internet and telecom worlds
- Big Data and AI technologies and use cases
- AI and ITU’s Machine Learning for 5G/IMT-2020 mobile networks
- Governance of IoT, Big Data, and AI
Lecture 1. Introduction to Internet technologies and Internet of Things (IoT)
Lecture 2. IoT standards, architectures and interoperability
Lecture 3. IoT in 4G and 5G mobile networks
Lecture 4. IoT data security, privacy and trust
Lecture 5. IoT business aspects, policies and regulations
Lecture 6. Big Data ITU’s framework, ecosystem and architectures
Lecture 7. Artificial Intelligence (AI) fundamentals in Internet and telecom worlds
Lecture 8. Big Data and AI technologies and use cases
Lecture 9. AI and ITU’s Machine Learning for 5G/IMT-2020 mobile networks
Lecture 10. Governance of IoT, Big Data, and AI
Prof. dr Toni Janevski
Toni Janevski, Ph.D., is a Full Professor at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Skopje, Macedonia. He received his Dipl. Ing., M.Sc. and Ph.D. degrees in electrical engineering all from Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, in 1996, 1999 and 2001, respectively. During 1996-1999 he has worked for the Macedonian mobile operator Mobimak (currently T-Mobile, Makedonski Telekom, Macedonia), contributing to the planning, dimensioning and implementation of the first mobile network in Macedonia. From 1999 he is with Faculty of Electrical Engineering and Information Technologies in Skopje.
In 2001 he has conducted research in optical communications at IBM T. J. Watson Research Center, New York. During 2005-2008 he was an elected member of the Commission of the Agency for Electronic Communications (AEC) of the Republic of Macedonia. During the periods 2008-2012 and 2012-2016 he was member of the Senate of the Ss. Cyril and Methodius University in Skopje. In 2009 he has established Macedonian ITU (International Telecommunication Union) Centre of Excellence (CoE) as part of the Europe’s CoE network, and serves as its head/coordinator since than.
In 2012 he has won “Goce Delchev” award, the highest award for science in Macedonia (can be received once in a lifetime). Also, he received Best Scientists Award of the Ss. Cyril and Methodius University in Skopje for 2013 (can be received once for a lifetime).
He is the author of the book titled “Traffic Analysis and Design of Wireless IP Networks”, which is published in 2003 by Artech House Inc, USA. In April 2014 has appeared his book titled “NGN Architectures, Protocols and Services”, published by John Wiley & Sons, UK. He is also author of the book “Internet Technologies for Fixed and Mobile Networks”, published in November 2015 by Artech House, USA. Further, in April 2019, he has published the book “QoS for Fixed and Mobile Ultra-Broadband”, John Wiley & Sons (Wiley – IEEE Press series), UK. He has published over 200 research papers and has led several research and applicative projects in the area of Internet technologies and mobile and wireless networks.
Also, he has tutored and coordinated many international courses in the ITU Academy, each year since 2009. He is a Senior Member of IEEE since 2005. He is currently a member from Europe region in the ITU’s GCBI (Group on Capacity Building Initiatives), in the term 2018-2022.
His interests include Internet Technologies, Mobile, Wireless and Multimedia Networks and Services, Quality of Service (QoS), Design and Modeling of Telecommunication Networks, Next Generation Networks, 5G and beyond Mobile Networks and Services, Internet of Things (IoT), Cloud Computing, and Future Networks.
Course Date (Duration)
28 – 29 October 2021 (2 days)
Face to face course.
Venue: National Institute of Telecommunications (NIT), Szachowa 1, 04-894, Warsaw, Poland
At the end of the course participants will take part in a written test checking the level of knowledge gained during the training.
Registration and Payments
STEP 1 – Login into ITU Academy
In order to access this course you need to have a valid account in ITU Academy. First, you should login into the ITU Academy with your ITU Academy account via the login page: https://academy.itu.int
If you have no valid account in ITU Academy Create new account
STEP 2 – Registration into this course
After login into ITU Academy, select the course “Internet of Things, Big Data and Artificial Intelligence: technical, business and regulatory aspects” by using the link: https://academy.itu.int/training-courses/full-catalogue/key-aspects-and-governance-internet-things-big-data-and-artificial-intelligence-0
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