diff --git a/docs/source/system_reference_guide/custom-environments.ipynb b/docs/source/system_reference_guide/custom-environments.ipynb
index fc7ee4d1..085fdd3d 100644
--- a/docs/source/system_reference_guide/custom-environments.ipynb
+++ b/docs/source/system_reference_guide/custom-environments.ipynb
@@ -116,14 +116,16 @@
     "\n",
     "### Using custom environments in jupyter notebooks\n",
     "\n",
-    "To make your environment accessible in a Jupyter notebook, you need to register a kernel that has your environment. You can use the `ipykernel install` command for this, which means you must list `ipykernel` as a dependency in your configuration file. An example is in `env3.yml`, that creates an environment named `env3`. After creating it, you run the kernel registration command this way :\n",
-    "\n",
-    "```\n",
-    "python -m ipykernel install --user --name env3 --display-name \"Python env3\"\n",
-    "```\n",
-    "\n",
-    "Once this is done, wait around 30 seconds for the registration to propagate. Then, click on a new launcher button. Among the notebook options, you should see \"Python env3\". This will spin up a notebook with your environment. Below you can find a screenshot showing the commands on the notebook : \n",
-    "\n",
+    "The following instruction steps are for python kernels.\n",
+    "\n",
+    "- Make sure ipykernel is listed as a dependency in your configuration file. An example that has such a dependency is env3.yml\n",
+    "- Create your environment using that configuration file\n",
+    "- Install the environment as a kernel by running the following command (parameter values follow the example mentioned):\n",
+    "  ```\n",
+    "  python -m ipykernel install --user --name custom_env_name --display-name \"Python env3\".\n",
+    "  ```\n",
+    "  The above command installs the environment as a kernel in Jupyter, making it accessible in the notebook with a display name of \"Python env3\".\n",
+    "- Wait around 30 seconds and launch a new notebook. Among the kernel options, you should see \"Python env3\" listed. Below you can see a screenshot that shows what this step looks like:\n",
     "![Register a kernel with a conda environment and launch a notebook with it](../_static/launch_registered_kernel_custom_conda.png)\n",
     "\n",
     "### Suggested packages for custom environment\n",
@@ -139,7 +141,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -153,12 +155,17 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.10.10"
   },
   "metadata": {
    "interpreter": {
     "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
    }
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "8a5edab282632443219e051e4ade2d1d5bbc671c781051bf1437897cbdfea0f1"
+   }
   }
  },
  "nbformat": 4,