This learning path guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud. - Define Generative AI; - Explain how Generative AI works; - Describe Generative AI Model Types; and - Describe Generative AI Applications.

This course familiarizes participants with the FAO Science and Innovation Strategy. It introduces the Strategy's core components – the pillars, outcomes, enablers, and guiding principles – fostering a holistic understanding of the Strategy. Key concepts such as science, innovation, and technology are defined, highlighting their roles in driving progress. The course presents the Strategy's vision, goal, and scope, emphasizing better production, better nutrition, a better environment, and a better life, leaving no one behind, in support of the 2030 Agenda for Sustainable Development. Practical application is emphasized, enabling learners to apply the Strategy to real-world scenarios to promote sustainable agrifood systems.

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.

As a service to the system, UNSSC has designed five, freely available, self-paced, introductory e-learning modules, each focusing on a cutting-edge skill identified in the Quintet of Change - UN 2.0 Policy Brief (Innovation, Strategic Foresight, Behavioural Science, Data, Digital).