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

OpenAI released a primer on their generative AI technology for beginners. It's accessible and free.

Artificial intelligence is no longer a future challenge for justice systems. It is already being used in courtrooms, shaping evidence, decision-making, and access to justice. Yet many judicial professionals lack the guidance and tools to assess these systems in line with fundamental rights and the rule of law. To address this gap, UNESCO and the University of Oxford have launched AI, Justice and Rule of Law. This Massive Open Online Course (MOOC) is designed to help justice professionals navigate the ethical, legal, and human rights challenges of AI.

The first focus of this course is on the application, practice and development opportunities of AI in the healthcare industry, with a particular focus on the needs and realities of developing countries. It covers core AI technologies and their healthcare applications, practical paths for implementing AI healthcare projects in developing countries, and global trends and regional opportunities. Unique benefits include case studies tailored to developing regions, actionable implementation strategies, and insights into leveraging global resources for local development.