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.

Digital Agricultural Technologies (DATs) are innovations that enable farmers and agribusiness entrepreneurs to leapfrog to increase their productivity, efficiency, and competitiveness, facilitate access to markets, improve nutritional outcomes and enhance resilience to climate change. These technologies range from mobile apps to digital identities for farmers to solar applications for agriculture to portable agriculture devices. DATs are increasingly becoming indispensable in the global food and agriculture sector, from fast and convenient information delivery to providing virtual marketplaces. Considering the fact that digital technologies can accelerate agro-food outcomes is juxtaposed with low adoption rates of the same, the World Bank’s operations are increasingly incorporating digital agriculture as a critical element in its operations. Thus, it is important to study digital agriculture technologies in further detail. This five-week course will provide a high-level overview of DAT concepts, potential impact, range of technologies available, used cases as well as forward-looking technologies. The course will introduce the participants to different agriculture data platforms already available and will encourage them to discover the scope and utility of the open data platforms for analytics and intelligence in agriculture. Participants will be required to engage in discussion forums with their peers and complete quizzes throughout the course.

By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners

Developed by the UNFCCC Youth4Capacity programme, with support of the Italian Ministry of Environment and Energy Security (MASE) and UNSSC, the Systems Change x Behavioural Science for Climate Action course empowers young leaders to address climate challenges through systems thinking and behavioural science. Participants will learn to analyze complex systems, shift behaviours, and design scalable, sustainable solutions that drive climate action.