The 100 Series Kamino serves as the foundation for the Kamino series. It provides a comprehensive overview of the data science lifecycle, covering data ingest, data wrangling, visualization, machine learning, text analysis, and storytelling. The concepts and applications of data science are demonstrated through narratives and real-life examples. Kamino is designed for anyone, regardless of data science knowledge or background.

This toolkit is intended to provide you a framework that addresses privacy and governance at both the organizational and system levels. It provides suggestions for determining the right stakeholders to engage

As courts modernise procedures and information systems, AI tools are increasingly introduced to support judicial work, case management, evidence analysis and access to legal information. These technologies can strengthen efficiency, consistency and access to justice. Yet they also raise fundamental questions about fairness, due process, transparency, explainability, and accountability. The course will address the following questions, and many more: - How should judges assess algorithmic outputs presented in court? - What safeguards are needed to prevent bias or over-reliance on automated systems? - How can courts adopt innovation while preserving independence and public trust? Developed in partnership with UNESCO, this course provides a human rights-based framework for understanding AI’s impact on justice systems and safeguarding the rule of law.

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