diff --git a/content/hardware/03.nano/boards/nano-33-ble-sense/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md b/content/hardware/03.nano/boards/nano-33-ble-sense/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
index 41f7691378..a01263445c 100644
--- a/content/hardware/03.nano/boards/nano-33-ble-sense/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
+++ b/content/hardware/03.nano/boards/nano-33-ble-sense/tutorials/get-started-with-machine-learning/get-started-with-machine-learning.md
@@ -107,7 +107,7 @@ Note the board can be battery powered as well. As the Arduino can be connected t
 
 ![Running the micro_speech example.](assets/micro.gif)
 
-## How To Tun The Examples Using the Arduino IDE
+## How To Run The Examples Using the Arduino IDE
 
 Alternatively you can use try the same inference examples using Arduino IDE application.