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

The UNSSC “Innovation for Impact” e-Learning Path seeks to accelerate and foster innovation in the UN system by supporting capacity development to create greater impact and enhance the UN workforce's future resilience. The e-Learning Path is composed of the Introduction to Innovation Learning Module, and the UN Innovation Toolkit Learning Module, with the ambition to support innovation efforts in the UN at all levels by offering online learning that embraces the use of digital tools and innovation frameworks and approaches.

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

This course seeks to outline AI applications of particular relevance to peace and conflict settings from a gender perspective. Ultimately, it aims to demonstrate how the Women, Peace and Security (WPS) agenda can be leveraged to ensure that AI technologies are deployed in a gender-responsive and conflict-sensitive manner, drawing on observations and experiences from Southeast Asia.