The course aims at helping learners to master the core components of the ITU Digital Skills Toolkit 2024 and to be able to design a national digital skills strategy roadmap based on the recommendations of the Digital Skills Toolkit, with the objective to develop or improve their national digital skills policies and programmes.

A UNITAR-certified online AI course — no coding, open to every discipline. Learn AI for social impact and build a project for the global contest.

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. In that manner, the course includes 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 covers 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 further includes Big Data and AI challenges, business aspects, as well as policies and regulation. Finally, the course covers governance of IoT, Big Data, and AI.

This toolkit is intended to provide you a framework that addresses privacy and governance at both the organizational and system levels. It provides suggestions for determining the right stakeholders to engage