AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

Artificial intelligence is rapidly transforming how institutions, governments, and organizations operate. This course equips professionals with the essential understanding and practical tools needed to lead digital transformation responsibly and effectively. It provides a bridge between technical concepts and real-world policy applications, enabling decision-makers to use AI for improved governance, foresight, and institutional performance.

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.

Artificial Intelligence is no longer evolving in isolation. Across the world of work, AI is increasingly interacting with robotics, extended realities, distributed ledgers, neurotechnologies, geodata, cybersecurity, biotechnology, and other emerging fields. AI+ explores the combined effect of these technologies on skills, labour markets, enterprises, policy, and learning. The event will bring together the ITCILO community and key labour market stakeholders to examine how these technological intersections are already reshaping the near future of work.