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.

This course presents the main principles, concepts, and approaches of the Tropical Agriculture Platform (TAP) Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS), developed by international experts to strengthen innovation capacities in low- and middle-income countries. The course consists of 6 lessons, of approximately 30-40 minutes duration each: Lesson 1 – Agricultural Innovation Systems – concepts and elements Lesson 2 – Capacity development for Agricultural Innovation Systems (AIS) Lesson 3 – Capacity needs assessments and strengthening at innovation niche level Lesson 4 – Capacity needs assessments and strengthening at organization level Lesson 5 – Strengthening the enabling environment Lesson 6 – The Monitoring, Evaluation, and Learning framework

The course provides a comprehensive understanding of Generative AI, covering its mechanisms and practical applications in text, video, and images.

Big data and data analytics emerged quickly in the past decade and they aren't buzz words; they are a reality and they are all making an impact in education. Learning analytics are becoming essential for data-driven decisions in education. A key component of the future of learning institution, as they are used to optimize learning environments for students and employees. The data generated by digital learning ecosystem can guide training managers in making informed data-driven decisions, and students seeking for a personalized learning experience. By taking this course you will learn how to make data-driven decisions to optimize learning and the environments in which it occurs. The course is designed to increase your understanding of learning analytics and it will prepare you to make data-driven decisions about education improvement using a broad range of data collection, analytical, and visualization methods.