diff --git a/assets/iot_edge_select_iot_hub_conn_str.png b/assets/iot_edge_select_iot_hub_conn_str.png
new file mode 100644
index 0000000..c212fc9
Binary files /dev/null and b/assets/iot_edge_select_iot_hub_conn_str.png differ
diff --git a/day1/2.3.AzureMLWithIoT/PyTorch-Classification-IoT-Module.ipynb b/day1/2.3.AzureMLWithIoT/PyTorch-Classification-IoT-Module.ipynb
index 25b5f44..1cfa1ee 100644
--- a/day1/2.3.AzureMLWithIoT/PyTorch-Classification-IoT-Module.ipynb
+++ b/day1/2.3.AzureMLWithIoT/PyTorch-Classification-IoT-Module.ipynb
@@ -538,7 +538,17 @@
    "metadata": {},
    "source": [
     "## Congratulations!\n",
-    "You made it to the end of the tutorial!  You can monitor messages from your edge device to your IoT Hub with VS Code and the [Azure IoT Hub Toolkit](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-toolkit) extension."
+    "You made it to the end of the tutorial!  You can monitor messages from your edge device to your IoT Hub with VS Code and the [Azure IoT Hub Toolkit](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-toolkit) extension.\n",
+    "\n",
+    "After installing the extension in VSCode, log in to the Azure Account (View -> Command Palette -> \"Azure: Sign in to Azure Cloud\").\n",
+    "\n",
+    "Select the IoT Hub by:  View -> Command Palette -> \"Azure IoT Hub:  Set IoT Hub Connection String\".\n",
+    "\n",
+    "<img width=\"50%\" src=\"../../assets/iot_edge_select_iot_hub_conn_str.png\">\n",
+    "\n",
+    "Monitor the built in endpoint by right clicking on the Device under the Azure IoT Hub (expand this in the lower left corner), selecting \"Start Monitoring Built-in Event Endpoint\" (will monitor all messages from any device module to IoT Hub).\n",
+    "\n",
+    "<img width=\"50%\" src=\"../../assets/iot_edge_monitor_vscode.png\">"
    ]
   },
   {