diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index ed5a20d4fc..ff35358a77 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -8,6 +8,7 @@ CHANGELOG
 * bug-fix: Append retry id to default Airflow job name to avoid name collisions in retry
 * bug-fix: Local Mode: No longer requires s3 permissions to run local entry point file
 * bug-fix: Local Mode: Move dependency on sagemaker_s3_output from rl.estimator to model
+* doc-fix: Fix quotes in estimator.py and model.py
 
 1.16.2
 ======
diff --git a/src/sagemaker/estimator.py b/src/sagemaker/estimator.py
index 4a6d035edc..53b8bab914 100644
--- a/src/sagemaker/estimator.py
+++ b/src/sagemaker/estimator.py
@@ -246,7 +246,7 @@ def compile_model(self, target_instance_family, input_shape, output_path, framew
                 example: ml_c5. Allowed strings are: ml_c5, ml_m5, ml_c4, ml_m4, jetsontx1, jetsontx2, ml_p2, ml_p3,
                 deeplens, rasp3b
             input_shape (dict): Specifies the name and shape of the expected inputs for your trained model in json
-                dictionary form, for example: {‘data’:[1,3,1024,1024]}, or {‘var1’: [1,1,28,28], ‘var2’:[1,1,28,28]}
+                dictionary form, for example: {'data':[1,3,1024,1024]}, or {'var1': [1,1,28,28], 'var2':[1,1,28,28]}
             output_path (str): Specifies where to store the compiled model
             framework (str): The framework that is used to train the original model. Allowed values: 'mxnet',
                 'tensorflow', 'pytorch', 'onnx', 'xgboost'
diff --git a/src/sagemaker/model.py b/src/sagemaker/model.py
index 9572b834c0..72e260aa6e 100644
--- a/src/sagemaker/model.py
+++ b/src/sagemaker/model.py
@@ -159,7 +159,7 @@ def compile(self, target_instance_family, input_shape, output_path, role,
                 example: ml_c5. Allowed strings are: ml_c5, ml_m5, ml_c4, ml_m4, jetsontx1, jetsontx2, ml_p2, ml_p3,
                 deeplens, rasp3b
             input_shape (dict): Specifies the name and shape of the expected inputs for your trained model in json
-                dictionary form, for example: {‘data’:[1,3,1024,1024]}, or {‘var1’: [1,1,28,28], ‘var2’:[1,1,28,28]}
+                dictionary form, for example: {'data':[1,3,1024,1024]}, or {'var1': [1,1,28,28], 'var2':[1,1,28,28]}
             output_path (str): Specifies where to store the compiled model
             role (str): Execution role
             tags (list[dict]): List of tags for labeling a compilation job. For more, see