diff --git a/deployment/docker/README.md b/deployment/docker/README.md
index f15b9ddd6a..aa8dae38a4 100644
--- a/deployment/docker/README.md
+++ b/deployment/docker/README.md
@@ -4,15 +4,17 @@ Dockerfile
 This is the Dockerfile of NNI project. It includes serveral popular deep learning frameworks and NNI. It is tested on `Ubuntu 16.04 LTS`:
 
 ```
-CUDA 9.0, CuDNN 7.0
-numpy 1.14.3,scipy 1.1.0
-TensorFlow-gpu 1.10.0
-Keras 2.1.6
-PyTorch 0.4.1
+CUDA 9.0
+CuDNN 7.0
+numpy 1.14.3
+scipy 1.1.0
+tensorflow-gpu 1.15.0
+keras 2.1.6
+torch 1.4.0
 scikit-learn 0.20.0
 pandas 0.23.4
 lightgbm 2.2.2
-NNI v0.7
+nni
 ```
 You can take this Dockerfile as a reference for your own customized Dockerfile.
 
diff --git a/docs/en_US/TrainingService/AMLMode.md b/docs/en_US/TrainingService/AMLMode.md
index b77da982af..0907f29a02 100644
--- a/docs/en_US/TrainingService/AMLMode.md
+++ b/docs/en_US/TrainingService/AMLMode.md
@@ -22,8 +22,8 @@ Step 6. Create an AML cluster as the computeTarget.
 
 Step 7. Open a command line and install AML package environment.
 ```
-python3 -m pip install azureml --user
-python3 -m pip install azureml-sdk --user
+python3 -m pip install azureml
+python3 -m pip install azureml-sdk
 ```
 
 ## Run an experiment