diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 959b4c4523..d99db23ad1 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -2,7 +2,7 @@
 CHANGELOG
 =========
 
-1.1.dev1
+1.1.1
 ========
 
 * feature: Estimators: add ``requirements.txt`` support for TensorFlow
diff --git a/README.rst b/README.rst
index a245b7dff1..54685fcde2 100644
--- a/README.rst
+++ b/README.rst
@@ -39,7 +39,7 @@ You can install from source by cloning this repository and issuing a pip install
 
     git clone https://github.com/aws/sagemaker-python-sdk.git
     python setup.py sdist
-    pip install dist/sagemaker-1.1.0.tar.gz
+    pip install dist/sagemaker-1.1.1.tar.gz
 
 Supported Python versions
 ~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/doc/conf.py b/doc/conf.py
index 5ec0183dc6..36e12fa1b2 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -18,7 +18,7 @@ def __getattr__(cls, name):
                 'tensorflow.python.framework', 'tensorflow_serving', 'tensorflow_serving.apis']
 sys.modules.update((mod_name, Mock()) for mod_name in MOCK_MODULES)
 
-version = '1.1.0'
+version = '1.1.1'
 project = u'sagemaker'
 
 # Add any Sphinx extension module names here, as strings. They can be extensions
diff --git a/setup.py b/setup.py
index a98d0dc753..6edf840aac 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@ def read(fname):
 
 
 setup(name="sagemaker",
-      version="1.1.0",
+      version="1.1.1",
       description="Open source library for training and deploying models on Amazon SageMaker.",
       packages=find_packages('src'),
       package_dir={'': 'src'},