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 self-paced online course on inclusive digital communication during crises and emergencies was developed in response to the COVID-19 pandemic. This health crisis has revealed the importance of ensuring that everyone can access and utilise digital information provided through digital platforms, which, in such situations, can be vital. The world is facing an unprecedented experience in which Information and Communication Technologies (ICTs) are, in certain circumstances, almost the only possibility for people to communicate with one another.

During this 8-hour deep dive, you will be introduced to the key techniques, services, and trends that will help you understand foundation models from the ground up. This means breaking down theory, mathematics, and abstract concepts combined with hands-on exercises to gain functional intuition for practical application. Throughout the course, we focus on a wide spectrum of progressively complex generative AI techniques, giving you a strong base to understand, design, and apply your own models for the best performance. We’ll start with recapping foundation models, understanding where they come from, how they work, how they relate to generative AI, and what you can to do customize them. You’ll then learn about picking the right foundation model to suit your use case.

Developed by the UN, for the UN, this digital platform — freely accessible anytime, anywhere from your computer, tablet or mobile phone — is intended to help inspire conversations, ideas, and action. This invaluable resource includes 21 tools, step-by-step directions, worksheets, case studies, and references, as well as a 27-question Diagnostic Assessment which provides actionable insight on every user’s readiness to innovate. Discover what kind of innovation profile you have: are you a “Collaborator,” a “Trailblazer,” or perhaps a “Implementor?”.