AI Explainability 360

This course aims to teach learners about AI explainability using AI Explainability 360. The goal is to provide an in-depth understanding of the tools and techniques for interpreting and explaining machine learning models. The course covers various skills such as model interpretation, fairness, and bias detection. The teaching method includes lectures, demonstrations, and hands-on exercises. This course is intended for individuals interested in AI explainability, machine learning interpretability, and model transparency.