diff --git a/docs/tutorial/parameter-types/enum.md b/docs/tutorial/parameter-types/enum.md
index 288eee5a92..52d65d0cba 100644
--- a/docs/tutorial/parameter-types/enum.md
+++ b/docs/tutorial/parameter-types/enum.md
@@ -153,3 +153,27 @@ Buying groceries: Eggs, Bacon
 ```
 
 </div>
+
+
+### Functional API
+
+In order to use an `Enum` created using the <a href="https://docs.python.org/3/library/enum.html#functional-api" class="external-link" target="_blank">functional API</a>, you need to create an enum with string values.
+
+You also need to supply the default value as a string (not the enum):
+
+=== "Python 3.7+"
+
+    ```Python hl_lines="6 10"
+    {!> ../docs_src/parameter_types/enum/tutorial004_an.py!}
+    ```
+
+=== "Python 3.7+ non-Annotated"
+
+    !!! tip
+        Prefer to use the `Annotated` version if possible.
+
+    ```Python hl_lines="5 8"
+    {!> ../docs_src/parameter_types/enum/tutorial004.py!}
+    ```
+
+Alternatively, you can create an `Enum` that extends both `str` and `Enum`. In Python 3.11+, there is <a href="https://docs.python.org/3.11/library/enum.html#enum.StrEnum" class="external-link" target="_blank">`enum.StrEnum`</a>. For Python 3.10 or earlier, there is the <a href="https://github.com/irgeek/StrEnum" class="external-link" target="_blank">StrEnum package</a>.
diff --git a/docs_src/parameter_types/enum/tutorial004.py b/docs_src/parameter_types/enum/tutorial004.py
new file mode 100644
index 0000000000..8aae98c12e
--- /dev/null
+++ b/docs_src/parameter_types/enum/tutorial004.py
@@ -0,0 +1,13 @@
+from enum import Enum
+
+import typer
+
+NeuralNetwork = Enum("NeuralNetwork", {k: k for k in ["simple", "conv", "lstm"]})
+
+
+def main(network: NeuralNetwork = typer.Option("simple", case_sensitive=False)):
+    print(f"Training neural network of type: {network.value}")
+
+
+if __name__ == "__main__":
+    typer.run(main)
diff --git a/docs_src/parameter_types/enum/tutorial004_an.py b/docs_src/parameter_types/enum/tutorial004_an.py
new file mode 100644
index 0000000000..a60ed650e8
--- /dev/null
+++ b/docs_src/parameter_types/enum/tutorial004_an.py
@@ -0,0 +1,16 @@
+from enum import Enum
+
+import typer
+from typing_extensions import Annotated
+
+NeuralNetwork = Enum("NeuralNetwork", {k: k for k in ["simple", "conv", "lstm"]})
+
+
+def main(
+    network: Annotated[NeuralNetwork, typer.Option(case_sensitive=False)] = "simple",
+):
+    print(f"Training neural network of type: {network.value}")
+
+
+if __name__ == "__main__":
+    typer.run(main)