diff --git a/README.md b/README.md
index 165fa31d..8447584e 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@
 </div>
 
 ---
-BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the original [BigDL](https://github.com/intel-analytics/BigDL/tree/branch-0.14) and [Analytics Zoo](https://github.com/intel-analytics/analytics-zoo) projects, providing the following features:
+BigDL makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the [original BigDL](https://github.com/intel-analytics/BigDL/tree/branch-0.14) and [Analytics Zoo](https://github.com/intel-analytics/analytics-zoo) projects, providing the following features:
  
   * [DLlib](#getting-started-with-dllib): distributed deep learning library for Apache Spark *(i.e., the original BigDL framework with Keras-style API and Spark ML pipeline support)*
 
diff --git a/docs/readthedocs/source/doc/DLlib/Overview/dllib.md b/docs/readthedocs/source/doc/DLlib/Overview/dllib.md
index a43c9eb2..beb7fbef 100644
--- a/docs/readthedocs/source/doc/DLlib/Overview/dllib.md
+++ b/docs/readthedocs/source/doc/DLlib/Overview/dllib.md
@@ -1,8 +1,26 @@
 # DLlib User Guide
 
+## 1. Overview
+
 DLlib is a distributed deep learning library for Apache Spark; with DLlib, users can write their deep learning applications as standard Spark programs (using either Scala or Python APIs).
 
-It includes the functionalities of the original [BigDL](https://github.com/intel-analytics/BigDL/tree/branch-0.14) project, and provides following high-level APIs for distributed deep learning on Spark:
+It includes the functionalities of the [original BigDL](https://github.com/intel-analytics/BigDL/tree/branch-0.14) project, and provides following high-level APIs for distributed deep learning on Spark:
 
 * [Keras-like API](keras-api.md) 
 * [Spark ML pipeline support](nnframes.md)
+
+## 2. Scala user guide
+
+### 2.1 Install
+
+### 2.2 Run
+
+### 2.3 Get started (example)
+
+## 3. Python user guide
+
+### 3.1 Install
+
+### 3.2 Run
+
+### 3.3 Get started (example)
diff --git a/docs/readthedocs/source/index.rst b/docs/readthedocs/source/index.rst
index e9a402b6..1c0f9410 100644
--- a/docs/readthedocs/source/index.rst
+++ b/docs/readthedocs/source/index.rst
@@ -3,7 +3,7 @@ BigDL Documentation
 
 ------
 
-`BigDL <https://github.com/intel-analytics/BigDL/>`_ makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the original `BigDL <https://github.com/intel-analytics/BigDL/tree/branch-0.14>`_ and `Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ projects, providing the following features:
+`BigDL <https://github.com/intel-analytics/BigDL/>`_ makes it easy for data scientists and data engineers to build end-to-end, distributed AI applications. The **BigDL 2.0** release combines the `original BigDL <https://github.com/intel-analytics/BigDL/tree/branch-0.14>`_ and `Analytics Zoo <https://github.com/intel-analytics/analytics-zoo>`_ projects, providing the following features:
 
 * `DLlib <doc/DLlib/Overview/dllib.html>`_: distributed deep learning library for Apache Spark
 * `Orca <doc/Orca/Overview/orca.html>`_: seamlessly scale out TensorFlow and PyTorch pipelines for distributed Big Data