Registration
Start Date:
End Date:
Event dates
Start Date:
End Date:
Location
Global or multi-regional
Training topics
  • Artificial intelligence
  • Internet of Things
  • Big data and statistics
Training modality
Online instructor led
Languages
  • English
Event mail contact
s.laskowski@il-pib.pl
Event organizer
National Institute of Telecommunications (NIT)
Coordinators
  • Sylwester Laskowski
  • Toni Janevski
Course level

Intermediate

Payment methods
  • Bank transfer
Price
$150.00

Description

This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers 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 includes 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 includes 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 covers introduction to AI in ICT/telecom world, and AI applications in Internet and telecom environments, including Machine Learning aspects for 5G mobile networks. The course further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.

This course is targeted at managers, engineers and employees from regulators, government organizations, 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.

No prior knowledge or qualification is required to register for this course, considering the given target population.

At the end of the training, the participant should have gained knowledge about 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鈥檚 framework, ecosystem and architectures
  • Artificial Intelligence (AI) fundamentals in Internet and telecom worlds
  • Big Data and AI technologies and use cases
  • AI and ITU鈥檚 Machine Learning for 5G/IMT-2020 mobile networks
  • Governance of IoT, Big Data, and AI

This course will be delivered using instructor-led online learning. The course methodology will be as follows:

  • Each day from 23 to 27 September 2024 there will be made available two recorded video lectures, which are recorded in the face-to-face ITU Centre of Excellence workshop organized by National Institute of Telecommunications in Poland. In total, there are 10 video lectures during the course.
  • Course forum, asynchronous, will be organized based on discussion topics raised by the instructor on a daily basis, from Course Day 1 to Course Day 5, which will cover the course material on the given day. Also, participant responses will be asynchronous, keeping in mind the different time zones and daily commitments of participants from different countries around the world.
  • General discussion forum, asynchronous, will be provided for participants to ask their own questions which can be answered by the instructor and other participants.
  • Final Quiz test will be assigned on the last day of the course, 30 September 2024.
  • All announcements for all events (lectures, quiz and forum) will be given in a timely manner (prior to the event) by the course tutor.

The evaluation of the participants will be based on 80% from the Final Quiz and 20% from the answers given in the course forum on the raised discussion topics on daily basis by the tutor, thus reflecting both the quantity and the quality of time spent on the course. 

Participation in the course forum is mandatory in order to access the Final Quiz. 

The Final Quiz will be open from 00:00 hours on Monday (30th of September 2024) according to the GMT+1 time, and will remain open for 30 hours after opening, so each participant can choose the most convenient time to solve it. However, after the start of the attempt the Quiz should be completed in 90 minutes. The Final Quiz contributes with 80% in the total grade.

The course is completed successfully with a total grade of 70% or higher. The grading will be completed by the course tutor after the course is fully completed.

Each fully registered participant who successfully completes the course with a total grade of 70% or higher will receive an ITU Certificate for this course. 

The ITU certificates will be given to participants via the 麻豆社视频 platform after completion of the course reporting and processing within the ITU.

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鈥檚 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鈥檚 Machine Learning for 5G/IMT-2020 mobile networks

Lecture 10. Governance of IoT, Big Data, and AI

Registration information

Unless specified otherwise, all 麻豆社视频 training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.

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