diff --git a/docs/labs/edit-jupyterlab-instructions-computer.md b/docs/labs/edit-jupyterlab-instructions-computer.md
index 57b5b59..6d00d99 100644
--- a/docs/labs/edit-jupyterlab-instructions-computer.md
+++ b/docs/labs/edit-jupyterlab-instructions-computer.md
@@ -33,10 +33,10 @@ git clone https://gitlab.com/ibm/skills-network/quicklabs/\<Your GP or Course Ti
 ### Prerequisites
  - Have JupyterLab installed ([installation instructions](https://jupyter.org/install)).
 
-### 1. Install skillsnetwork-authoring-extension
-On the Extension Marketplace of JupyterLab, search and install ```skillsnetwork-authoring-extension```
+### 1. Install skillsnetwork-jupyter-extension
+On the Extension Marketplace of JupyterLab, search and install ```skillsnetwork-jupyter-extension```
 
-Or, execute ```pip install skillsnetwork-authoring-extension``` on your terminal.
+Or, execute ```pip install skillsnetwork-jupyter-extension``` on your terminal.
 
 ### 2. Restart JupyterLab
 Restart JupyterLab on your computer by executing on your terminal: ```jupyter lab```
@@ -55,43 +55,3 @@ Under the ```Skills Network``` tab on JupyterLab select ```Edit a lab```. Then,
 Once you are done, click ```Publish``` to publish your lab's instructions.
 
 ![Publish Screenshot](/img/labs/edit-lab-instructions/publish-instructions-screenshot.png)
-
-## Editing using SkillsNetwork JupyterLab Docker Image (advanced)
-
-If you want to create your JupyterLab instructions using the same environment that SkillsNetwork labs will use, we recommend using the [SkillsNetwork JupyterLab Docker Image](https://hub.docker.com/r/skillsnetworkbot/jupyterlab-authoring).
-
-> Note: The SkillsNetwork JupyterLab Docker Image requires \~4.5 GB of download data. Once extracted, the image totals \~10GB.
-
-### Prerequisites
- - [Docker](https://docs.docker.com/get-docker/) is installed and running.
-
-### Pulling the SkillsNetwork JupyterLab Image:
-
-```bash
-docker pull skillsnetworkbot/jupyterlab-authoring:latest
-```
-
-### Starting JupyterLab in Your Current Working Directory
-```bash
-docker run -p 8888:8888 -v "$(pwd)":/resources --platform linux/x86_64 skillsnetworkbot/jupyterlab-authoring:latest jupyter lab --ip 0.0.0.0 --ServerApp.password='' --ServerApp.token='' --port 8888 --no-browser --allow-root
-```
-
-You will then see a link "`http://127.0.0.1:8888/lab`" go to this link in your browser to edit your jupyter lab(s)!
-
-> Note: Don't use the "`http://[RANDOM HASH]:8888/lab`" url, since it won't work.
-
-### Adding sn_jupyterlab alias to rc file (optional, advanced)
-It may be annoying to have to type out:
-```bash
-docker run -p 8888:8888 -v "$(pwd)":/resources --platform linux/x86_64 skillsnetworkbot/jupyterlab-authoring:latest jupyter lab --ip 0.0.0.0 --ServerApp.password='' --ServerApp.token='' --port 8888 --no-browser --allow-root
-```
-every time you want to run the SkillsNetwork JupyterLab image in your current working directory.
-
-Alternatively, you can add an alias to your rc file, for example if using `zsh`, add the following to `~/.zshrc` (if using `bash` then replace `~/.zshrc` with `~/.bashrc` in the following instructions):
-```bash
-alias sn_jupyterlab="docker run -p 8888:8888 -v \"\$(pwd)\":/resources --platform linux/x86_64 skillsnetworkbot/jupyterlab-authoring:latest jupyter lab --ip 0.0.0.0 --ServerApp.password='' --ServerApp.token='' --port 8888 --no-browser --allow-root"
-```
-
-Then run `source ~/.zshrc` to update 
-
-Now you can always run the SkillsNetwork JupyterLab image in your current working directory by typing `sn_jupyterlab` in your terminal.