Artifical Intelligence is not just for engineers.
AI (Explanable Artifical Intelligence) is crucial for an organization in building trust and confidence when putting AI models into production. Explainable AI can help humans understand and explain machine learning (ML) algorithms, deep learning and neural networks.
Trusted organisations advancing in the area of XAI
You will learn how top companies in this field apply XAI, the methods and approaches to challenges faced. Learn how to assess impact and relationships of data and models to improve AI explainability and help gain model insights on deployments, fairness, quality and risk.
Through lectures, slides, reading, assignments and discussions
This XAI course provides a comprehensive overview of explainable AI, covering both theory and practice, and exploring various use cases for explainability, condensed into 10 sessions. No time-limit, take as much time as suits. We've designed our slides and assignments from scratch. No coding expereince is required.