Explainable AI for Everyone
Completed by Duaa Khalid Radaideh
November 5, 2026
9 hours (approximately)
Duaa Khalid Radaideh's account is verified. Coursera certifies their successful completion of Explainable AI for Everyone
What you will learn
Explain core Explainable AI concepts, including interpretability, transparency, and model understanding.
Apply techniques like SHAP, LIME, and Permutation Importance to interpret model predictions.
Analyze model behavior using global and local explanation methods for deeper insights.
Evaluate bias, fairness, and trade-offs to build trustworthy and responsible AI systems.
Skills you will gain
- Category: Stakeholder Analysis
- Category: Debugging
- Category: Feature Engineering
- Category: Classification And Regression Tree (CART)
- Category: Model Evaluation
- Category: Interactive Data Visualization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Decision Tree Learning
- Category: Trustworthiness
- Category: Data Storytelling
- Category: Data Visualization
- Category: Machine Learning
