This course introduces participants to blockchain technology and provides a basic understanding of its main features. It begins by highlighting the business value of blockchain and the relevance of the technology for international trade. The lectures then move to explain the difference between blockchain and distributed ledger technology (DLT)

In this couse, you will learn basic concepts related to managing and measuring impact on sustainability targets, as well as finance tracking. The focus of this training is on approaches used by UNDP, including taxonomies, reporting systems and frameworks for collecting actionable data to inform decision-making in line with the SDGs.

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 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.