diff --git a/BUILD_SOURCE.md b/BUILD_SOURCE.md
new file mode 100644
index 0000000000..5992b9a334
--- /dev/null
+++ b/BUILD_SOURCE.md
@@ -0,0 +1,52 @@
+
+**`Documentation`** |
+------------------- |
+To build ONNXRUNTIME with ZenDNN follow below steps.
+
+## Build From Source
+### Setup for Linux
+Create and activate a conda environment
+```
+$ conda create -n onnxrt-v1.17.0-zendnn-4.2-rel-env python=3.8 -y
+$ conda activate onnxrt-v1.17.0-zendnn-4.2-rel-env
+```
+Install necessary dependencies
+```
+$ pip install -U cmake numpy==1.24.4 protobuf==3.20.2 onnx==1.15.0 pytest
+$ pip install psutil coloredlogs torch==2.1.2 torchvision transformers==4.39.3 sympy
+```
+
+### Download the AMD ZenDNN ONNXRUNTIME source code
+Location of AMD ZenDNN ONNXRUNTIME: [AMD ZenDNN ONNXRUNTIME](https://github.com/amd/ZenDNN-onnxruntime).
+
+Checkout AMD ZenDNN ONNXRUNTIME
+```
+$ git clone https://github.com/amd/ZenDNN-onnxruntime.git
+$ cd ZenDNN-onnxruntime
+```
+
+The repo defaults to the main development branch which doesn't have ZenDNN support. You need to check out a release branch to build, e.g. `rel-1.17.0_zendnn_rel`.
+```
+$ git checkout branch_name  # rel-1.17.0_zendnn_rel.
+```
+
+### Set environment variables
+Set environment variables for optimum performance. Some of the environment variables are for housekeeping purposes and can be ignored.
+```
+$ source scripts/zendnn_ONNXRT_env_setup.sh
+```
+
+### Build and install the pip package
+Ensure that you install the ONNX Runtime-ZenDNN package corresponding to the Python version with which you created the conda environment.
+```
+$ ./build.sh --config Release --build_shared_lib --parallel --use_zendnn --build_wheel --use_openmp --skip_onnx_tests
+$ pip install --force-reinstall ./build/Linux/Release/dist/<*.whl>
+$ pip install --force protobuf==3.20.2
+```
+
+### Quick verification of Build. You should see ZendnnExecutionProvider and ONNXRuntime version
+### Change directory to parent folder
+```
+$ cd ../
+$ python -c 'import onnxruntime as ort; print("\nONNXRuntime version : ", ort.__version__); print("\nAvailable Execution Providers : ", ort.get_available_providers())'
+```