Advanced4 missions · ~7 hours
The Fairness Depths
Evaluation metrics, bias detection, explainability, and debugging. Build confusion matrices, run Clarify bias reports, generate SHAP explanations, and configure Debugger rules for overfitting detection.
Missions in This Path
1
ML Evaluation Metrics — Classification & Regression
Build confusion matrices and calculate precision, recall, F1, and RMSE.
30 min
SageMaker
2
Detect ML Bias with SageMaker Clarify
Run bias analysis on your ML model with SageMaker Clarify.
35 min
SageMaker Clarify
3
Explain ML Models with SHAP & Clarify
Generate SHAP feature importance explanations for ML predictions.
30 min
SageMaker Clarify
4
Debug ML Training with SageMaker Debugger
Detect overfitting, vanishing gradients, and training anomalies automatically.
30 min
SageMaker Debugger
Complete all missions to earn
Fairness Depths Guardian (Gold)
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