This course will introduce participants to Social and Behaviour Change (SBC) at UNICEF. SBC is defined as a set of processes, approaches, tools, strategies and tactics that promote positive and measurable changes in people’s environments, societies, and behaviours. Working with communities, individuals, and partners, SBC uses social and behavioural evidence and inclusive, participatory approaches to co-design solutions to development and humanitarian challenges. It prioritizes the fulfillment of human rights through systematic analysis of the cognitive, social and structural drivers of change and working with communities to address them.

Guidance on how to apply Nature-based Solutions in enhancing resilience to disasters and climate change. Participants will gain knowledge about how human activities are interlinked with ecological systems and the main tools and approaches for applying Nature-based Solutions to reducing disaster and climate risks.

The modules delivered under the course provide a blend of technical skills and soft skills with an aim to strengthen both digital and inter-personal skills of girls and young women. The course prepares participants to actively engage in Science, Technology, Engineering and Mathematics (STEM) related initiatives and future career opportunities in the digital sector. It provides a practical approach with scenarios and case studies that foster innovation and creativity for continued learning on the use of digital technologies and how they can contribute to the digital ecosystem.

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