- Sylwester Laskowski
- Toni Janevski
Intermediate
- Bank transfer
Event organizer(s)
Description
This course focuses on technical, business and regulatory aspects of Artificial Intelligence (AI) and Metaverse for future Internet and telecoms. It covers fixed and mobile broadband Internet, QoS, and cybersecurity, AI fundamentals for telecom sector including ITU’s Machine Learning (ML), Generative AI, federated learning, Explainable AI (XAI) and responsible AI use. The course includes future AI-based clouds and IoT, including AI as a Service (AIaaS), edge AI and edge clouds, and Industrial IoT. It also covers AI for 5G/6G mobile networks, spectrum management, QoS, and cybersecurity, as well as regulation and governance of AI including Explainable AI (XAI) and effective AI governance. Further, the course covers Metaverse enabling technologies XR, digital twins, IoT, and AI, as well as future 6G and mobile Metaverse services including ITU IMT-2030 framework, AI-native 6G networks and mobile Metaverse services such as immersive XR and Industry 5.0. Also, it includes QoS for future Metaverse, Internet and telecoms, including 6G QoS,, KPIs for mobile Metaverse services, QoS and QoE measurements for future services, as well as personalized QoS and QoE. Finally, the course covers Metaverse cybersecurity including AI and Generative AI tools for Metaverse cybersecurity, digital identity management, blockchain, quantum security, and cybersecurity strategies, as well as key business and regulatory aspects of the Metaverse including competition and market dynamics, privacy, accessibility, network neutrality, and governance for future Metaverse, Internet and telecoms.
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 Artificial Intelligence and Metaverse for future Internet and telecoms, 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 Artificial Intelligence and Metaverse for future Internet and telecoms.
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.
At the end of the training, the participant will be able to:
- Explain key aspects of Broadband Internet, QoS, and cybersecurity
- Examine Artificial Intelligence (AI) fundamentals for telecom sector
- Characterize main components of future AI-based clouds and Internet of Things
- Analyse the use of AI for 5G/6G, spectrum management, QoS and cybersecurity
- Classify core characteristics of the regulation and governance of Artificial Intelligence
- Discuss metaverse enabling technologies: XR, digital twins, IoT and AI
- Outline future 6G and mobile Metaverse services
- Identify aspects of QoS for future Metaverse, Internet and telecoms
- Exemplify instances of metaverse cybersecurity
- Summarize key business and regulatory aspects of the Metaverse
This course will be delivered using instructor-led online learning. The course methodology will be as follows:
- Each day from 30 November to 4 December 2026 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 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, 7 December 2026.
- 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 (7 December 2026) 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 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 ITU Academy platform after completion of the course reporting and processing within the ITU.
Day 1
Lecture 1. Broadband Internet, QoS, and cybersecurity
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Internet architectures
- Fundamental Internet technologies (TCP, QUIC, UDP, IP, DNS)
- IPv6 technology for Internet and telecoms
- Web technologies and HTTP 3.0
- Internet/IP QoS
- Cybersecurity
- Fixed and mobile broadband (optical access, 5G-Advanced)
- General IMS (IP Multimedia Subsystem)
- 3D Internet access (converged fixed, mobile, and satellite broadband)
- Internet governance (technical, non-technical)
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 1. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Lecture 2. Artificial Intelligence (AI) fundamentals for telecom sector
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Artificial Intelligence (AI) evolution in the telecom sector
- Types of Artificial Intelligence (Machine Learning, Deep Learning, etc.)
- Classification of ML algorithms (supervised ML, unsupervised ML)
- Machine Learning (ML) model by ITU
- Federated learning
- Generative AI
- Application of Generative AI in Internet and telecoms
- Explainable AI (XAI) and responsible AI use
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 2. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Day 2
Lecture 3. Future AI-based clouds and Internet of Things
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- ITU framework for cloud and edge computing
- Cloud service models
- AI as a Service (AIaaS), ML as a Service (MLaaS)
- Architecture for AI cloud platforms
- AI-based telecom cloud services
- Future telecom transition to AI-based cloud computing
- AI in Internet of Things (IoT)
- Edge AI and Edge Cloud in IoT
- Industrial IoT AI framework
- AI for IoT smart services (smart city, smart transportation, smart factories)
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 3. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Lecture 4. AI for 5G/6G, spectrum management, QoS and cybersecurity
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- AI/ML-based spectrum management in 5G/6G
- AI/ML for dynamic spectrum sharing in 5G/6G
- Predictive analytics and traffic forecasting
- AI/ML-based QoS/QoE management
- AI/ML for network optimization, planning, and upgrades
- AI/ML-based network slicing in 5G and 6G mobile networks
- AI for cybersecurity optimization and threat detection
- AI for fraud detection and prevention
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 4. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Day 3
Lecture 5. Regulation and governance of Artificial Intelligence
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- ITU’s digital regulatory framework
- ITU guide for AI and data strategies
- Key AI regulatory frameworks (EU AI Act, US Executive Order on AI)
- Regulatory approach for Explainable AI (XAI)
- Privacy and data protection in AI
- AI and risk management
- ITU’s AI readiness framework
- Enforcement for AI compliance with regulatory frameworks
- AI Impact on open Internet and network neutrality
- Effective AI governance
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 5. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Lecture 6. Metaverse enabling technologies: XR, digital twins, IoT and AI
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- ITU framework and architecture for the Metaverse
- Internet/IP technologies for the Metaverse
- Web 4.0 and virtual worlds
- Virtual Reality (VR) and Augmented Reality (AR)
- Extended Reality (XR)
- Digital twins
- ITU framework of IoT for the Metaverse
- Cloud and edge computing for Metaverse XR services
- Distributed ledger technology for the Metaverse
- AI impact on the Metaverse
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 6. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Day 4
Lecture 7. Future 6G and mobile Metaverse services
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- ITU IMT-2030 framework for 6G
- 6G immersive communication, Hyper Reliable and Low-Latency Communication (HRLLC)
- 6G massive communication and ubiquitous connectivity
- AI-native 6G network, integrated sensing, and communication
- AI/ML orchestration and management in 6G mobile Metaverse
- Multimedia aspects of Metaverse architecture
- Live AR/VR events, immersive XR, IMS-based 3D avatar communication
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 7. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Lecture 8. QoS for future Metaverse, Internet and telecoms
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- QoS, QoE, and network performance definitions by the ITU
- QoS and KPIs for 6G/IMT-2030
- KPIs for future Metaverse services
- Consolidated KPIs for mobile Metaverse services
- Challenges in measuring and managing QoS/QoE in the Metaverse
- QoS and QoE measurements for future Metaverse, Internet, and telecom services
- Future traffic management
- Personalized QoS and QoE management
- Edge computing and QoS/QoE
- Regulatory and business aspects of QoS for future Metaverse, Internet, and telecoms
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 8. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Day 5
Lecture 9. Metaverse cybersecurity
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Cyber risks, threats, and harms in the Metaverse
- AI and generative AI tools for Metaverse cybersecurity (threat detection and response)
- Challenges to trustworthiness in the Metaverse
- Securing and enforcing content moderation in virtual spaces
- Digital identity management in the Metaverse
- Security for devices and immersive technologies across Metaverse
- Cybersecurity for digital and virtual economies
- Blockchain and Quantum security for the Metaverse
- Cross-platform security in Metaverse
- Cybersecurity strategies for future Metaverse, Internet, and telecoms
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 9. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Lecture 10. Key business and regulatory aspects of the Metaverse
- Learning Outcomes:
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Metaverse value chain
- Competition and market dynamics in the Metaverse
- Metaverse interoperability and standardization
- Legal jurisdiction and data governance
- Privacy and user protection in the Metaverse
- Human rights and ethical considerations
- Accessibility and inclusion in the Metaverse
- Intellectual property and virtual/digital assets
- Open Internet and network neutrality vs. Metaverse
- Governance framework for future Metaverse, Internet, and telecoms
- Outline, discuss, use, analyze, design, and evaluate the following topics:
- Activities:
- Watching and listening to video lectures 10. Answering on questions asked by the tutor, and possibility to ask questions to him via course forum.
Day 6
Consolidation of knowledge
- Summarizing the knowledge
- Possibility to watch all video lecture once again with possibility to ask questions to the tutor.
Day 7
Consolidation of knowledge
- Summarizing the knowledge
- Possibility to watch all video lecture once again with possibility to ask questions to the tutor.
Day 8
Final Quiz
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.
