diff --git a/docs/index.rst b/docs/index.rst
index 17dae2c9..1f465b2d 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -31,6 +31,7 @@ The best place to start is :ref:`about`
    :caption: Contents:
    :hidden:
 
+   source/getting_started
    source/about
    source/config
    source/primaite_session
diff --git a/docs/source/getting_started.rst b/docs/source/getting_started.rst
index a0adf751..3365732a 100644
--- a/docs/source/getting_started.rst
+++ b/docs/source/getting_started.rst
@@ -4,7 +4,7 @@ User Guide
 Getting Started
 ****************
 
-# PrimAITE
+**PrimAITE**
 
 ## About The Project
 PrimAITE (**PrimAITE**) simulation environment for training AI under the ARCD programme.It incorporates the functionality required
@@ -12,7 +12,7 @@ of a Primary-level environment, as specified in the Dstl ARCD Training Environme
 
 **PrimAITE** is currently under a closed development stage. 
 
-## What's PrimAITE built with
+**What's PrimAITE built with**
 
 - [OpenAI's Gym](https://gym.openai.com/)
 - [Networkx](https://github.com/networkx/networkx)
@@ -20,9 +20,9 @@ of a Primary-level environment, as specified in the Dstl ARCD Training Environme
 - [Rllib (part of Ray)](https://github.com/ray-project/ray)
 
 
-## Getting Started with PrimAITE
+**Getting Started with PrimAITE**
 
-### Pre-Requisites
+Pre-Requisites
 
 In order to get **PrimAITE** installed, you will need to have the following installed:
 
@@ -32,30 +32,22 @@ In order to get **PrimAITE** installed, you will need to have the following inst
 
 **PrimAITE** is designed to be OS-agnostic, and thus should work on most variations/distros of Linux, Windows, and MacOS.
 
-### Installation from source
-#### 1. Navigate to the PrimAITE folder and create a new python virtual environment (venv)
+Installation from source
+1. Navigate to the PrimAITE folder and create a new python virtual environment (venv)
 
-```unix
-python3 -m venv <name_of_venv>
-```
 
-#### 2. Activate the venv
+`python3 -m venv <name_of_venv>`
 
-##### Unix
-```bash
-source <name_of_venv>/bin/activate
-```
+2. Activate the venv
 
-##### Windows
-```powershell
-.\<name_of_venv>\Scripts\activate
-```
+`source <name_of_venv>/bin/activate`
 
-#### 3. Install `PrimAITE` into the venv along with all of it's dependencies
+Windows
+`.\<name_of_venv>\Scripts\activate`
 
-```bash
-python3 -m pip install -e .
-```
+3. Install `PrimAITE` into the venv along with all of it's dependencies
+   
+`python3 -m pip install -e .`
 
 This will install all the dependencies including algorithm libraries. These libraries
 all use `torch`. If you'd like to install `tensorflow` for use with Rllib, you can do this manually
@@ -63,15 +55,12 @@ or install `tensorflow` as an optional dependency by postfixing the command in s
 
 To see all PrimAITE dependencies have a look at the dependencies page (:ref:`Dependencies`)
 
-```bash
-python3 -m pip install -e .[tensorflow]
-```
-### Development Installation
+`python3 -m pip install -e .[tensorflow]`
+
+Development Installation
 To install the development dependencies, postfix the command in step 3 above with the `[dev]` extra. Example:
 
-```bash
-python3 -m pip install -e .[dev]
-```
+`python3 -m pip install -e .[dev]`