Explainability in Artificial Intelligence

Write your awesome label here.
Course overview
  • Level: Beginner | EQF 5
  • Study time: 2 hours
  • Assessment: 25 activities
Course overview
The Explainability in Artificial Intelligence course explores the techniques that make AI models transparent and interpretable. It examines key methods such as explainable clustering, decision trees, nomograms, and data maps, helping learners understand not just AI’s predictions but also the reasoning behind them. The course also covers accuracy, language considerations, and future directions in AI explainability, equipping learners with essential skills to analyze and interpret AI-driven decisions across various domains.
Empty space, drag to resize
Certification included
Upon completing the course, you will receive a Certificate of Achievement that can be added to your resume and LinkedIn profile, recognizing your mastery of AI concepts and skills.

Course contents

Created with