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 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.

These self-paced e-learning modules build skills across the many domains of sustainable finance, enabling learners to understand core concepts in sustainable finance and the tools and strategies for utilizing sustainable finance to deliver the SDGs.

This toolkit is intended to provide you a framework that addresses privacy and governance at both the organizational and system levels. It provides suggestions for determining the right stakeholders to engage