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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).

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.

The rise of generative AI, Web 3.0, and the metaverse is reshaping the creative industries, unlocking new possibilities for content creation, storytelling, and audience engagement. However, these innovations come with complex ethical, legal, and regulatory challenges.

This course will dive in the overall progress of the current global Artificial Intelligence technology status and its the future possibilities; the Cloud Computing development and its trends; the Big Data industry, technology and development; the innovative development of new infrastructure in the digital economy, and the practices such as digital infrastructure, computing infrastructure, follow-up broadband network, IPv6 etc

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.

This course explores the latest trends and innovations in digital technology and examines their implications for digital transformation. It covers topics such as artificial intelligence, blockchain, and the Internet of Things (IoT), highlighting their potential to drive innovation and disrupt traditional business models.

This course provides an introduction to artificial intelligence (AI), focusing on its application in the public service. Participants will be guided through the entire process of devising AI-based services in the public sector. Lessons will cover not just the functional aspects of this application but also the governance and ethical aspects of the process to offer a holistic point of view. 

With the generous support of the Global Gateway initiative of the European Union, this course is offered for free for selected participants.  

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.