Developed by the UN, for the UN, this digital platform — freely accessible anytime, anywhere from your computer, tablet or mobile phone — is intended to help inspire conversations, ideas, and action. This invaluable resource includes 21 tools, step-by-step directions, worksheets, case studies, and references, as well as a 27-question Diagnostic Assessment which provides actionable insight on every user’s readiness to innovate. Discover what kind of innovation profile you have: are you a “Collaborator,” a “Trailblazer,” or perhaps a “Implementor?”.

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.

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.

The modules delivered under the course provide a blend of technical skills and soft skills with an aim to strengthen both digital and inter-personal skills of girls and young women. The course prepares participants to actively engage in Science, Technology, Engineering and Mathematics (STEM) related initiatives and future career opportunities in the digital sector. It provides a practical approach with scenarios and case studies that foster innovation and creativity for continued learning on the use of digital technologies and how they can contribute to the digital ecosystem.