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)

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 amazing potential and opportunity of Generative AI has also brought ethical concerns. How can you address these concerns effectively as you deploy tools and products powered by generative AI? In this course

Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities explores the transformative potential of AI in the hospitality industry. Learn how AI can lower operating costs, enhance customer experiences, and drive innovation in front office, housekeeping, and other key areas. Understand AI terminology, ethical considerations, and digitalization trends. Gain insights into the ethical implications and legal considerations of AI in hospitality as you learn how to harness the technology to boost your efficiency and sales.