diff --git a/examples/00_Basic_Usage/Implementing_a_custom_Kernel.ipynb b/examples/00_Basic_Usage/Implementing_a_custom_Kernel.ipynb
index 3bb5e4c07..1883b85b0 100644
--- a/examples/00_Basic_Usage/Implementing_a_custom_Kernel.ipynb
+++ b/examples/00_Basic_Usage/Implementing_a_custom_Kernel.ipynb
@@ -209,7 +209,7 @@
    "source": [
     "### Adding hyperparameters\n",
     "\n",
-    "Althogh the `FirstSincKernel` can be used for defining a model, it lacks a parameter that controls the correlation length. This lengthscale will be implemented as a hyperparameter. See also the [tutorial on hyperparamaters](https://docs.gpytorch.ai/en/latest/examples/00_Basic_Usage/Hyperparameters.html), for information on raw vs. actual parameters.\n",
+    "Although the `FirstSincKernel` can be used for defining a model, it lacks a parameter that controls the correlation length. This lengthscale will be implemented as a hyperparameter. See also the [tutorial on hyperparamaters](https://docs.gpytorch.ai/en/latest/examples/00_Basic_Usage/Hyperparameters.html), for information on raw vs. actual parameters.\n",
     "\n",
     "The parameter has to be registered, using the method `register_parameter()`, which `Kernel` inherits from `Module`. Similarly, we register constraints and priors."
    ]