- Artificial intelligence
- Wireless and fixed broadband
- Internet of Things
- English
- Sylwester Laskowski
- Toni Janevski
Intermediate
- Bank transfer
Event organizer(s)
Description
This course focuses on future fixed and mobile broadband Internet, cloud computing and IoT/AI, including technical, business and regulatory aspects. It covers Internet technologies (IPv6, QUIC, DNS, QoS, cybersecurity), future fixed-terrestrial and satellite broadband including gigabit metallic, cable, and optical broadband (FTTH/FTTR, 50G-PON), submarine cable, satellite broadband, as well as transport networks (ITU’s OTN, SD-WAN, Carrier Ethernet). Further, course includes future mobile broadband, including 5G-Advanced and future 6G mobile broadband (ITU’s IMT-2030), as well as future WiFi technologies and their uses by telecom operators. It also includes the Internet of Things (IoT) ITU framework, existing and future IoT, Big Data and Quantum Internet, as well as Artificial Intelligence (AI) technologies including the ITU framework for Machine Learning (ML), AI/ML based QoS/QoE, security, 5G/6G operations, and Generative AI for telecom sector. Further, it also covers cloud and edge computing for telecoms and OTTs, future fixed and mobile services including voice, video, XR/AR/VR, critical IoT services (URLLC, IIoT, Smart City), V2X, Quantum Internet applications, and metaverse. Finally, the course includes regulation and business aspects of future Internet, clouds, metaverse, crypto (blockchain), IoT and AI.
This course is targeted at managers, engineers and employees from regulators, government organizations, telecommunication companies and academia, who are interested in Future fixed and mobile broadband Internet, Cloud Computing and IoT/AI, including technologies, standardization, regulation and content. Other institutions and individuals that are dedicated in building their capacity related to Future Fixed and Mobile broadband Internet, Cloud Computing and IoT/AI.
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 an understanding of the key aspects of:
- Internet technologies
- Future fixed-terrestrial and satellite broadband
- 5G-Advanced mobile broadband
- Future wireless broadband: WiFi 6th and 7th generation
- Future mobile broadband: 6G/IMT-2030
- IoT, Big Data and Quantum Internet
- Artificial Intelligence (AI) technologies
- Cloud and edge computing for telecoms and OTTs
- Future fixed and mobile services
- Regulation and business aspects of future Internet, clouds, IoT, and AI
This course will be delivered using instructor-led online learning. The course methodology will be as follows:
- Each day from 1 to 8 December 2025 there will be made available two recorded video lectures. In total, there are 10 video lectures during the course.
- Course forum, asynchronous, will be organized based on discussion topics raised by the instructor daily, 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, 8 December 2025.
- 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 60% from the Final Quiz and 40% 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 (8 December 2025) according to the GMT 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 60% 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 Â鶹ÉçÊÓƵ platform after completion of the course reporting and processing within the ITU.
Lecture 1. Internet technologies & Lecture 2. Future fixed-terrestrial and satellite broadband
Outline, discuss, use, analyze, design and evaluate the following topics using technical, business and regulatory aspects:
- Evolution of fixed and mobile Internet
- Open Internet architectures
- Main Internet technologies (IPv4, IPv6, TCP, QUIC, DNS)
- IPv6 addressing and implementation
- IP interconnections and IP eXchange (IPX)
- Web technologies and metaverse
- QoS in Internet/IP networks
- Cybersecurity and privacy
- Internet 2030 and beyond
- Governance of broadband Internet
- ITU’s future gigabit metallic broadband
- Future cable broadband (DOCSIS 4.0, full duplex)
- Future optical access (FTTH/ Fiber To The Room – FTTR)
- Future Passive Optical Networks by ITU (50G-PON, WDM-PONs)
- Network slicing in ITU’s PON context
- Future PONs by IEEE
- Carrier-grade Ethernet for telecoms
- SD-WAN (Software Defined - Wide Area Network)
- ITU’s fine grain Optical Transport Network (fgOTN)
- Submarine cable transport networks
- Satellite broadband (LEO, MEO, GEO)
- Future integrated terrestrial and non-terrestrial (satellite) networks
Lecture 3. 5G-Advanced mobile broadband & Lecture 4. Future wireless broadband: WiFi 6th and 7th generation
Outline, discuss, use, analyze, design and evaluate the following topics using technical, business and regulatory aspects:
- IMT mobile broadband evolution
- 5G-Advanced New Radio (NR) access
- SDN, NFV and network slicing in 5G/5G-Advanced
- 5G-Advanced Core architecture and functions
- Time Sensitive Communication in 5G/5G-Advanced
- 5G-Advanced QoS and QoE
- 5G-Advanced non-public (private) networks
- 5G-Advanced Non-Terrestrial Network (NTN)
- Mobile access (5G-Advanced) in unlicensed bands
- ITU spectrum management for 5G-Advanced
- WLAN architectures
- WiFi (IEEE 802.11) generations
- WiFi 6 – Next Generation WiFi (IEEE 802.11ax)
- WiFi 7 - Extremely High Throughput WiFi (IEEE 802.11be)
- 5G - WLAN interworking architecture
- Untrusted WLAN access in 5G network
- Trusted WLAN access in 5G and wireline access
- Access traffic steering, switching and splitting for 5G-WLAN
- WiFi for IoT services
- Future business aspects of WiFi for telecom operators
Lecture 5. Future mobile broadband: 6G/IMT-2030 & Lecture 6. IoT, Big Data and Quantum Internet
Outline, discuss, use, analyze, design and evaluate the following topics using technical, business and regulatory aspects:
- ITU framework for future mobile: IMT-2030 and beyond
- IMT-2030/6G capabilities and usage scenarios
- Immersive Communication (6G global ultra broadband)
- Hyper Reliable and Low-Latency Communication (6G critical services)
- Massive Communication (batteryless IoT in 6G)
- Ubiquitous Connectivity (3D global coverage)
- Artificial Intelligence and Communication (AI-native 6G network)
- Integrated Sensing and Communication (AI, XR, digital twins)
- Deterministic networking and Time-Sensitive Networks in 6G
- Future IMT-2030/6G spectrum
- ITU Internet of Things (IoT) framework
- Mobile Internet of Things (NB-IoT, RedCap)
- Non-mobile IoT technologies (LoRa, SigFox)
- Industrial IoT (IIoT) technologies
- QoS for IoT (massive vs. critical IoT)
- Big Data architectures
- Big Data Driven Networking (bDDN)
- Big Data use in the telecom sector
- Blockchain technologies
- Quantum Key Distribution Network (QKDN)
- Quantum Internet
Lecture 7. Artificial Intelligence (AI) technologies & Lecture 8. Cloud and edge computing for telecoms and OTTs
Outline, discuss, use, analyze, design and evaluate the following topics using technical, business and regulatory aspects:
- ITU’s framework for Machine Learning (ML) in future networks
- Network intelligence levels by ITU
- AI models and data
- ITU’s architecture for collaborative decentralized ML for intelligent IoT
- Digital twins and AI
- AI/ML network slicing management leveraging QoS from verticals
- AI/ML operations in 5G/6G mobile networks
- AI for QoS/QoE, network and capacity prediction and planning
- AI in spectrum management
- AI for security and fraud detection and prevention by telecoms
- Generative AI for telecom sector
- ITU’s cloud computing architecture
- Cloud ecosystem
- Cloud service models (SaaS, PaaS, IaaS, Machine Learning as a Service, Blockchain as a Service, Robotics as a Service)
- Cloud-native and microservices for OTT providers and telecoms
- Edge computing (ITU’s framework, 5G/6G edge use cases)
- Blockchain based Zero Trust Architectures
- Quantum cloud services
- Future OTT cloud services
- Future telecom cloud services
Lecture 9. Future fixed and mobile services & Lecture 10. Regulation and business aspects of future Internet, clouds, IoT, and AI
Outline, discuss, use, analyze, design and evaluate the following topics using technical, business and regulatory aspects:
- Future telecom and OTT voice services
- Future IPTV and video streaming
- Virtual/Augmented/eXtended Reality (VR/AR/XR)
- Telecom and OTT massive IoT services
- Future critical IoT/AI services (URLLC, Industrial IoT, Smart City)
- V2X services
- Quantum Internet applications
- Future OTT services (Web 3.0 evolution)
- Metaverse evolution
- Future Internet vs. QoS, QoE and network neutrality
- Future Internet governance
- Business aspects and regulation of metaverse
- Security and trust in IoT
- Blockchain (crypto) regulation
- Business aspects and regulation of clouds
- Data governance
- AI inclusion, social inequalities, transparency and data
- Future AI regulation
- Future digital economy and markets
- Business aspects for future telecom and OTT services
Registration information
Unless specified otherwise, all Â鶹ÉçÊÓƵ 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.