Poland
- Sylwester Laskowski
- Toni Janevski
Intermediate
- Bank transfer
Event Organizer(s)
Description
New technologies, evolving regulatory considerations, and emergent business models are likely to shape how advanced digital services are delivered and managed. This course focuses on technical, business and regulatory aspects of AI, cybersecurity and Quality of Service (QoS) and Quality of Experience (QoE) for future mobile broadband. Through an in-depth exploration, participants will gain insights into key innovations such as 5G and 5G-Advanced technologies, including 5G RAN and Core, network slicing, service types and spectrum, followed by ITU framework for 6G (IMT-2030), covering immersive communication with integrated AI and sensing, edge clouds, massive and critical IoT, and ubiquitous 3D connectivity. The course introduces participants to future immersive, AI-driven, cloud-native mobile networks and their convergence with satellite networks, bridging this knowledge with AI, machine learning and generative AI use for 5G and 6G cybersecurity, as well as regulatory and business aspects of AI, data governance, and cybersecurity for 5G and 6G. The course also puts the spotlight on QoS and QoE in 5G and 6G, including mobile voice, video, Internet, OTT, XR, metaverse, and critical services. Participants will gain insights into KPIs and AI-based QoS and QoE assessment in these mobile networks, as well as AI-enhanced QoS and QoE for mobile metaverse, XR, digital twins, and IoT. The course also focuses on AI-driven spectrum management including dynamic spectrum sharing, and network neutrality for 5G and 6G, Finally, it concludes with QoS and QoE regulation in AI-native 5G and 6G, enforcement mechanisms, as well as QoS and QoE business models and drivers for future mobile networks and services.
This course is targeted at managers, engineers and employees from regulators, government organizations, telecom operators, telecommunication companies and academia, who are interested in technical, business and regulatory aspects of AI, Cybersecurity and QoS/QoE for Future Mobile Broadband, including technologies, standardization, regulation and content. This course also accepts all other institutions and individuals who are committed to building their capacities related to technical, business and regulatory aspects of AI, Cybersecurity and QoS/QoE for Future Mobile Broadband.
No prior knowledge or qualification is required to register for this course, considering the given target population.
Please note that there are 30 places available for this training.
Places will be allocated based on application and selection and on a first-come, first served basis. Participants requiring a visa to attend the training are kindly advised to apply before July 2026.
The training will support the following learning objectives, participants will be able to:
- Comprehend and compare 5G and 5G-Advanced technologies
- Gain an applied knowledge of ITU framework for 6G
- Understand future immersive, AI-driven, cloud-native, converged satellite-mobile networks
- Explain AI, machine learning and generative AI for 5G and 6G cybersecurity
- Analyse regulatory and business aspects of AI, data governance, and cybersecurity for future mobile broadband
- Contrast and discuss Quality of Service (QoS) and Quality of Experience (QoE) in 5G and 6G
- Reflect on KPIs and AI-based QoS and QoE assessment in 5G and 6G mobile networks
- Employ AI-enhanced QoS and QoE for future mobile services: Metaverse, XR, digital twins, and IoT
- Employ AI-driven spectrum management and network neutrality for 5G/6G
- Interpret regulatory and business aspects of QoS/QoE in future mobile networks
This course will be delivered using face-to-face training methodology, which is defined as follows:
- The course will be conducted as two full days lecture sessions in a face-to-face manner at the premises of National Institute of Telecommunication (NIT) in Warsaw Poland, on 22 and 23 October 2026. The participants will attend lectures and interact with the tutor on the given topics.
- All presentations from face-to-face lectures and sessions used during the course will be made available on the ITU Academy platform (before the start of that course day).
- Course forum, asynchronous and online on the ITU Academy, will be organized based on discussion topics raised by the instructor (after participants return to their home countries), on 28 October 2026 for Day 1 lecture material, and 29 October 2026 for Day 2 lecture material, however different dates can be agreed in coordination with the course participants (depending on their travel plans back to home) at the end of Day 2.
- Final Quiz test which will be assigned online on the ITU Academy platform on 30 of October 2026 and will remain open for 72 hours, however different date can be agreed in coordination with the course participants (depending on their travel plans back to home) at the end of Day 2.
- All information in the course be given in a timely manner (prior to the event) by the course tutor on the ITU Academy platform.
Assessment
- The evaluation of the participants will be based on 60% from the Final Quiz and 40% from the answers given in the course forum on the raised discussion topics by the tutor on the ITU Academy after the course, thus reflecting both the quality and the quantity of time spent on the course.
- Attendance on the course face to face lectures at the venue in Warsaw is mandatory in order to access the Course Forum and the Final Quiz which will be given later online on the ITU Academy (after the return of participants to their home countries).
- The Course Forum will be open on the ITU Academy on 28 October 2026 (after the return of participants to their home countries) according to the GMT time.
- The Final Quiz will be open on the ITU Academy platform from 00:00 hours on Friday (30 of October 2026, after the return of participants to their home countries) according to the GMT time, and will remain open at least for 72 hours after opening, so each participant can choose the most convenient time to solve it. It will consist of 20 questions (multiple choices). However, after the start of the attempt the Quiz should be completed in 90 minutes.
Grading and Weighting:
- Mandatory forum contributions (discussion topics on the ITU Academy platform) - 40%
- Final Quiz test on the ITU Academy platform - 60%
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 ITU Academy platform, after completion of the course reporting and processing within the ITU.
Day 1
- 10:00 – 11:00: 5G/5G-Advanced technologies
- 11:00 – 11:30: Coffee Break
- 11:30 – 13:00: ITU framework for 6G
- 13:00 – 14:00: Lunch Break
- 14:00 – 14:45: Future immersive, AI-driven, cloud-native, converged satellite-mobile networks
- 14:45 – 15:30: AI/ML and Generative AI for 5G/6G cybersecurity
- 15:30 – 16:00: Coffee Break
- 16:00 – 17:00: Regulatory and business aspects of AI, data governance, and cybersecurity for future mobile broadband
Day 2
- 10:00 – 11:00: Quality of Service (QoS) and Quality of Experience (QoE) in 5G and 6G
- 11:00 – 11:30: Coffee Break
- 11:30 – 13:00: KPIs and AI-based QoS/QoE assessment in 5G/6G mobile networks
- 13:00 – 14:00: Lunch Break
- 14:00 – 14:45: AI-enhanced QoS/QoE for future mobile services: Metaverse, XR, digital twins, and IoT
- 14:45 – 15:30: AI in spectrum management and network neutrality for 5G/6G
- 15:30 – 16:00: Coffee Break
- 16:00 – 17:00: Regulatory and business aspects of QoS/QoE in future mobile networks
Each day will culminate with a concluding session
Tutors
Registration information
Unless specified otherwise, all ITU Academy 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.
