The goal of this course is to enhance participants’ understanding of innovation in aviation and equip them with the practical skills to navigate regulatory challenges and foster adaptive organizational strategies. This programme supports the transformation of the civil aviation system through innovation awareness and application of related principles.

The course is Intended for policy-makers, decision-makers, innovators and ecosystem builders who wish to build thriving entrepreneurial communities that can navigate technological revolutions and create competitive ICT industries. The course introduces key terminologies, concepts, tools and steps to assess your country's innovation capacity through practical information. Upon completion of the course, you will understand: Innovation, digital ecosystems and digital transformation, and their relationship to national development priorities.

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.