This self-paced course goes over some fundamental aspects of data literacy, explores the best ways to input and clean data to make it usable, and provides tips to put data in context through storytelling techniques.

This course discusses building inclusive and digitally accessible environments and communities, underlining the importance of digital inclusivity and accessibility for all people, empowered through ICTs regardless of gender, age, ability, or context.

As a public servant (and human), each day you’re likely to be faced with a mountain of decisions, ranging from miniscule to massive. Have you ever wished that you could make those decisions just a little bit easier, and just a little bit more effective? If so, you’re not alone — and this course can help get you on the right track. In this course, developed in collaboration with UN colleagues, including the UN Innovation Network (UNIN), you’ll dissect the decision-making process and determine what makes decisions so difficult, what makes some decisions more difficult than others, and what you can do about it. By the end of this course, you will be able to: - Recognise what makes decisions challenging and why it matters - Understand how personality influences decision-making - Identify common behavioural biases and strategies to overcome them - Dissect difficult choices and help others make the right call

A fully online, live programme giving professionals a practical, multidisciplinary understanding of how AI is transforming professional environments. It moves from responsible AI governance, from principles to practice, through AI sovereignty and data flows, to the future of work: how AI changes professional tasks and roles, and the skills and organizational readiness needed to adapt. Participants learn to apply responsible and ethical approaches to AI, address AI-related risks and privacy challenges, and identify which professional tasks AI can support or automate. The emphasis is on real-world applications rather than technical development, with interactive discussions, case studies and expert insights. No prior technical knowledge of AI is required. Format: four weekly three-hour live sessions (Fridays, 14:00–17:00 CET), 6–27 November 2026. Registration deadline: 4 November 2026. Fee: USD 800 (limited fee reductions and scholarships for participants from LDCs and SIDS). The course only runs if a minimum number of participants is reached. Participants who meet the requirements receive a digital credential.