UN Women AI School is a regional movement and learning programme that equips UN staff, policy makers, civil society, and young leaders to learn, build, and govern safe, gender-inclusive AI. Through a shared core curriculum on AI foundations, responsible use, and prompt craft—plus weekly Expert Talks and hands-on Innovation Labs—participants turn ideas into policy briefs, tools and datasets that serve communities across the region. A 24/7 Companion GPT supports practice and catch-up, and the Grand Challenge spotlights standout projects. All toolkits and templates are open for replication across Asia and the Pacific.

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.

A free online course on the building blocks of quantum technology.

AI-powered robots, and in particular humanoid and semi-humanoid robots, are increasingly recognised as a foundational and emerging technology with the potential to profoundly transform work, learning, and social systems. This course is part of the broader reflection on the nexus between emerging technologies and decent work: using human-machine collaboration as a guiding lens, the course provides a space to learn about the status of humanoid robots today, their opportunities, risks, and ethical dimensions to act fast and responsibly as its impact on the world of work and learning accelerates. Grounded in the UN and ILO human-centred approach to technology, the course invites participants to explore how humanoid and semi-humanoid robots can be harnessed, rather than merely adopted, to support social justice, decent work, and sustainable development.