In this course, you'll gain insights from global experts on cutting-edge practices in sustainable urban transport. Learn about Transit-Oriented Development (TOD), urban transformation with Sustainable Urban Mobility (SUM) solutions, decarbonizing the mobility sector, active mobility, safe roads strategies, and inclusive transport solutions.

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

Every day we see how Information and Communication Technologies (ICTs) impact our lives and participation in society by the way we work

The goal of this course is to enhance participants’ understanding of innovation in aviation and equip them with the practical skills to navigate regulatory challenges and foster adaptive organizational strategies. This programme supports the transformation of the civil aviation system through innovation awareness and application of related principles.