diff --git a/subjects/ai/train-and-evalute-machine-learning-models/README.md b/subjects/ai/training/README.md
similarity index 99%
rename from subjects/ai/train-and-evalute-machine-learning-models/README.md
rename to subjects/ai/training/README.md
index 7e3a90bf..4bf9f72d 100644
--- a/subjects/ai/train-and-evalute-machine-learning-models/README.md
+++ b/subjects/ai/training/README.md
@@ -1,4 +1,4 @@
-# Train and evaluate Machine Learning models
+# Training
 
 Today we will learn how to train and evaluate a machine learning model. You'll learn how tochoose the right Machine Learning metric depending on the problem you are solving and to compute it. A metric gives an idea of how good the model performs. Depending on working on a classification problem or a regression problem the metrics considered are different. It is important to understand that all metrics are just metrics, not the truth.
 
diff --git a/subjects/ai/train-and-evalute-machine-learning-models/audit/README.md b/subjects/ai/training/audit/README.md
similarity index 100%
rename from subjects/ai/train-and-evalute-machine-learning-models/audit/README.md
rename to subjects/ai/training/audit/README.md
diff --git a/subjects/ai/train-and-evalute-machine-learning-models/w2_day4_ex4_q3.png b/subjects/ai/training/w2_day4_ex4_q3.png
similarity index 100%
rename from subjects/ai/train-and-evalute-machine-learning-models/w2_day4_ex4_q3.png
rename to subjects/ai/training/w2_day4_ex4_q3.png