ITU Academy e-learning course on

Key technologies and governance of
Internet of Things, Big Data
and Artificial Intelligence

23 – 30 September 2024

Course Description
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 environments, 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.
Target Population
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.
ENTRY REQUIREMENTS
No prior knowledge or qualification is required to register for this course, considering the given target population.
TRAINING OBJECTIVES

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
Course Content
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

Course Date (Duration)
23 – 30 September 2024 (8 days)
Participation fees
150 USD
METHODOLOGY
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.
    • Discussion forum will be organized based on discussion topics given on a daily basis, where students are highly encouraged to participate and interact with instructors and other students.
    • 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.
ASSESSMENT AND GRADING
On the last day of the course a Final Quiz test will be assigned. It will consist of 20 questions (multiple choices).

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 is passed with a grade of 70% or higher. The course evaluation for obtaining the ITU certificate is based primarily on the results from the Final Quiz, however, replies to the raised discussion topics in the course forum may also be considered in the evaluation process.

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.

Registration

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 – Apply for the course

Go to the ITU Academy page and apply for the course Key technologies and governance of Internet of Things, Big Data and Artificial Intelligence

STEP 3 – Wait for acceptance of your application

Your application needs to be accepted by the course coordinator.

When your application will be accepted you will obtain via email notification and an invoice with invitation to realize payment (Step 4)

STEP 4 – Realize payment

Realize payment according to the instructions received in the e-mail and send proof of payment to the address: s.laskowski@il-pib.pl

STEP 5 – Enrollment into the course

After the course coordinator receives the proof of payment you will be enrolled into the course and informed via email about next steps.

Contact us
If you have any questions do not hesitate to contact us.