diff --git a/InstallationViaAptRepository.md b/InstallationViaAptRepository.md
new file mode 100644
index 0000000..e855ba6
--- /dev/null
+++ b/InstallationViaAptRepository.md
@@ -0,0 +1,98 @@
+# How to install ArmNN via our APT repository on Ubuntu's Launchpad
+
+*  [Introduction](#introduction)
+*  [Add the Ubuntu Launchpad PPA to your system](#addRepo)
+*  [Outline of available packages](#availablePackages)
+*  [Install desired combination of packages](#InstallPackages)
+*  [Uninstall packages](#uninstallPackages)
+
+
+#### <a name="introduction">Introduction</a>
+These are the step by step instructions on how to install the ArmNN core, TensorflowLite Parser as well as PyArmnn for x86_64, Arm64 and Armhf for Ubuntu 20.04.
+The packages will also be added to Debian Bullseye, their progress can be tracked here: https://tracker.debian.org/pkg/armnn
+
+
+#### <a name="addRepo">Add the Ubuntu Launchpad PPA to your system</a>
+* Add the PPA to your sources using a command contained in software-properties-common package:
+    ```
+    sudo apt install software-properties-common
+    sudo add-apt-repository ppa:armnn/ppa
+    sudo apt update
+    ```
+* More information about our PPA and the Ubuntu Launchpad service can be found at [launchpad.net](https://launchpad.net/~armnn/+archive/ubuntu/ppa)
+#### <a name="availablePackages"> Outline of available packages</a>
+
+We provide a number of packages for each architecture; x86_64, aarch64 and armhf:
+
+##### x86_64
+* Runtime Packages
+```
+libarmnn-cpuref-backend22_20.08-4_amd64.deb
+libarmnn-tfliteparser22_20.08-4_amd64.deb
+libarmnn22_20.08-4_amd64.deb
+python3-pyarmnn_20.08-4_amd64.deb
+```
+* Development Packages
+```
+libarmnn-dev_20.08-4_amd64.deb
+libarmnn-tfliteparser-dev_20.08-4_amd64.deb
+```
+##### arm64
+* Runtime Packages
+```
+libarmnn-aclcommon22_20.08-4_arm64.deb
+libarmnn-cpuacc-backend22_20.08-4_arm64.deb
+libarmnn-cpuref-backend22_20.08-4_arm64.deb
+libarmnn-gpuacc-backend22_20.08-4_arm64.deb
+libarmnn-tfliteparser22_20.08-4_arm64.deb
+libarmnn22_20.08-4_arm64.deb
+python3-pyarmnn_20.08-4_arm64.deb
+
+```
+* Development Packages
+```
+libarmnn-dev_20.08-4_arm64.deb
+libarmnn-tfliteparser-dev_20.08-4_arm64.deb
+
+```
+##### armhf
+* Runtime Packages
+```
+libarmnn-aclcommon22_20.08-4_armhf.deb
+libarmnn-cpuacc-backend22_20.08-4_armhf.deb
+libarmnn-cpuref-backend22_20.08-4_armhf.deb
+libarmnn-gpuacc-backend22_20.08-4_armhf.deb
+libarmnn-tfliteparser22_20.08-4_armhf.deb
+libarmnn22_20.08-4_armhf.deb
+python3-pyarmnn_20.08-4_armhf.deb
+
+```
+* Development Packages
+```
+libarmnn-dev_20.08-4_armhf.deb
+libarmnn-tfliteparser-dev_20.08-4_armhf.deb
+
+```
+
+#### <a name="InstallPackages"> Install desired combination of packages</a>
+The easiest way to install all of the available packages for your systems architecture is to run the command:
+
+(Please Note: libarmnn-cpuacc-backend has been built with NEON support, installing this backend on an armhf device not supporting NEON may cause a crash/undefined behaviour.)
+```
+ sudo apt-get install -y python3-pyarmnn libarmnn-cpuacc-backend22 libarmnn-gpuacc-backend22 libarmnn-cpuref-backend22
+ # Verify installation via python:
+ python3 -c "import pyarmnn as ann;print(ann.GetVersion())" 
+ # Returns '22.0.0'
+```
+This will install PyArmnn and the three backends for Neon, Compute Library and our Reference Backend.
+It will also install their dependencies including the arm-compute-library package along with the Tensorflow Lite Parser and it's dependency ArmNN Core.
+If the user does not wish to use PyArmnn they can go up a level of dependencies and instead just install the Tensorflow Lite Parser:
+```
+  sudo apt-get install -y libarmnn-tfliteparser22 libarmnn-gpuacc-backend22
+```
+
+#### <a name="uninstallPackages"> Uninstall packages</a>
+The easiest way to uninstall all of the previously installed packages is to run the command:
+```
+ sudo apt autoremove -y libarmnn22
+```
\ No newline at end of file
diff --git a/README.md b/README.md
index ad71249..1a87704 100644
--- a/README.md
+++ b/README.md
@@ -12,6 +12,8 @@
 
 There is a guide for backend development: [Backend development guide](src/backends/README.md)
 
+There is a guide for installation of ArmNN, Tensorflow Lite Parser and PyArmnn via our Apt Repository: [Installation via Apt Repository](InstallationViaAptRepository.md)
+
 API Documentation is available at https://github.com/ARM-software/armnn/wiki/Documentation.
 
 Dox files to generate Arm NN doxygen files can be found at armnn/docs/. Following generation the xhtml files can be found at armnn/documentation/