This training course empowers start-up and scale-up women entrepreneurs by developing green digital entrepreneurship knowledge and skills in order to increase their economic empowerment. The course is designed to guide participants through the concepts and benefits of green business

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.

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

COVID-19 and the ensuing lockdowns accelerated the adoption and transition of pedagogical paradigms from a largely offline-mode