AI Skills for UN personnel is an initiative led by the United Nations System Staff College (UNSSC), in close collaboration with the Executive Office of the Secretary-General and Microsoft Elevate, with contributions from teams across the UN, in support of the UN 2.0 and UN80 agendas.

More From the Library

UNDP
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Blockchain for Government

The “Blockchain for Government” training is a tailored program designed to help government officials understand and effectively use blockchain technology in public administration.
Short (a few hours)
Online
Blockchain
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SDG 16: Peace, Justice & Strong Institutions
ITU
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How to ensure inclusive digital communication during crisis and emergency situations

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.
Short (a few hours)
Online
Communications & Knowledge Sharing
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All
UNCTAD
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The Use of Blockchain in Trade Facilitation

A course about the pivotal role that blockchain is having and will have in trade facilitation. Discover how this technology, alongside digitalization and automation, optimizes supply chain efficiency.
Short (a few hours)
Online
Blockchain
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SDG 09: Industry, Innovation & Infrastructure
Other
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Generative AI with Large Language Models

By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners
Medium (a few days)
Online
Generative AI
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All
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