As artificial intelligence (AI) transforms global operations, the UN system and international organizations must equip their personnel with the skills to responsibly understand, apply, and benefit from AI technologies. Developed and operated by the UNICC AI Hub, the AI Academy aims to close the AI literacy gap across UN entities by launching a structured, multi-partner pilot initiative aligned with the UN 2.0 and based on the WFP’s Data and AI Competency Framework.

Every day we see how Information and Communication Technologies (ICTs) impact our lives and participation in society by the way we work

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

This instructor-led training course, Strategic Foresight 201, is all about helping acceleration centres understand how to plan for the future in a digital world. It focuses on trends in research readiness and is based on the Playbook for Strategic Foresight by the ITU/BDT Innovation and Entrepreneurship Alliance for Digital Development. Equipped with hypothetical case studies, this course is designed to speed up the change to digital technology, encourage new ideas, and support national growth goals.