A compilation of data and related training available to UN staff through LinkedIn and other platforms.

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.

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.

The 100 Series Kamino serves as the foundation for the Kamino series. It provides a comprehensive overview of the data science lifecycle, covering data ingest, data wrangling, visualization, machine learning, text analysis, and storytelling. The concepts and applications of data science are demonstrated through narratives and real-life examples. Kamino is designed for anyone, regardless of data science knowledge or background.