diff --git a/src/sagemaker/estimator.py b/src/sagemaker/estimator.py
index 3451e69f25..60d7b75150 100644
--- a/src/sagemaker/estimator.py
+++ b/src/sagemaker/estimator.py
@@ -658,9 +658,9 @@ def __init__(self, entry_point, source_dir=None, hyperparameters=None, enable_cl
                     >>> $ ls
 
                     >>> opt/ml/code
-                    >>>     ├── train.py
-                    >>>     ├── common
-                    >>>     └── virtual-env
+                    >>>     |------ train.py
+                    >>>     |------ common
+                    >>>     |------ virtual-env
 
             hyperparameters (dict): Hyperparameters that will be used for training (default: None).
                 The hyperparameters are made accessible as a dict[str, str] to the training code on SageMaker.
diff --git a/src/sagemaker/model.py b/src/sagemaker/model.py
index 06a85470d7..9c4958e6f4 100644
--- a/src/sagemaker/model.py
+++ b/src/sagemaker/model.py
@@ -153,9 +153,9 @@ def __init__(self, model_data, image, role, entry_point, source_dir=None, predic
                     >>> $ ls
 
                     >>> opt/ml/code
-                    >>>     ├── train.py
-                    >>>     ├── common
-                    >>>     └── virtual-env
+                    >>>     |------ train.py
+                    >>>     |------ common
+                    >>>     |------ virtual-env
 
             predictor_cls (callable[string, sagemaker.session.Session]): A function to call to create
                a predictor (default: None). If not None, ``deploy`` will return the result of invoking