The modules delivered under the course provide a blend of technical skills and soft skills with an aim to strengthen both digital and inter-personal skills of girls and young women. The course prepares participants to actively engage in Science, Technology, Engineering and Mathematics (STEM) related initiatives and future career opportunities in the digital sector. It provides a practical approach with scenarios and case studies that foster innovation and creativity for continued learning on the use of digital technologies and how they can contribute to the digital ecosystem.

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Emerging technologies and human rights 2026

Learn how emerging digital technologies impact human rights and how responsible governance can harness innovation while protecting fundamental rights.
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AI for Social Impact Challenge

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.
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Social Innovation, Societal Challenges, and New Skills

In today’s rapidly evolving world, we face unprecedented societal challenges – social and economic inequality, climate change, unemployment, and technological disruptions, among others. These complex issues call for critical thinking perspectives and innovative solutions. Against this background, social innovation stands out as a crucial catalyst for addressing these challenges and fostering new strategies and sustainable solutions that traditional methods often overlook.
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SDG 09: Industry, Innovation & Infrastructure
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AI governance in practice: developing secure and innovative frameworks

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.
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