diff --git a/beginner_source/basics/autogradqs_tutorial.py b/beginner_source/basics/autogradqs_tutorial.py
index 8a92fc024a7..ad3d284fee3 100644
--- a/beginner_source/basics/autogradqs_tutorial.py
+++ b/beginner_source/basics/autogradqs_tutorial.py
@@ -47,7 +47,7 @@
 #
 # In this network, ``w`` and ``b`` are **parameters**, which we need to
 # optimize. Thus, we need to be able to compute the gradients of loss
-# function with respect to those variables. In orded to do that, we set
+# function with respect to those variables. In order to do that, we set
 # the ``requires_grad`` property of those tensors.
 
 #######################################################################