• Online, Self-Paced

Master the techniques for creating transparent AI systems in "Techniques For Building Interpretable AI Models Essentials," designed for AI practitioners and researchers.

Learning Objectives

  • Understand the key concepts of model interpretability and transparency.
  • Explore advanced methods for creating interpretable AI models.
  • Develop skills to balance model performance and interpretability.
  • Analyze the trade-offs between complex and interpretable models.
  • Apply interpretability techniques in real-world machine learning projects.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas