Tourism Innovation is your gateway to understanding essential concepts in tourism innovation, offered as a four-week online course by Externado University of Colombia. You will explore sector guidelines, legal frameworks, and the tourism value chain. This course helps you integrate new practices for sustainable development and enhance your competitive edge. Engage with text, videos, and quizzes, and achieve an 80% score on the final quiz to earn your certificate.

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), defining key use cases for digital identity (ID), supply chain management, transportation / logistics, intellectual property rights, trade facilitation and financial services. The lectures further examine the opportunities blockchain / DLT may create for small producers and enterprises, especially those located in developing countries. Finally, the course explores the “blockchain for trade” ecosystem, implementation decision-making tools, regulatory requirements and other challenges that must be addressed before the technology can be used on a wide scale and generate significant impact.

Basic training sessions on AI/ML and GAI. Generative AI falls under the overall category of AI and offers a new and exciting way of interacting with information, brands, and other people. Let’s talk about how these disciplines work together and about materials available to help you upskill in these areas. Google is happy to announce a new set of generative AI training content available at no cost. So, whether you are just getting started or already have a more advanced role, read on to find ways to help reach your desired position.

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.