diff --git a/docs/tutorial/parameter-types/enum.md b/docs/tutorial/parameter-types/enum.md
index 278908fc72..52362c10eb 100644
--- a/docs/tutorial/parameter-types/enum.md
+++ b/docs/tutorial/parameter-types/enum.md
@@ -145,3 +145,14 @@ Error: Invalid value for '--network': 'capsule' is not one of 'simple', 'conv',
 ```
 
 </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):
+
+{* docs_src/parameter_types/enum/tutorial005_an.py hl[6,13] *}
+
+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/tutorial005.py b/docs_src/parameter_types/enum/tutorial005.py
new file mode 100644
index 0000000000..15d114c417
--- /dev/null
+++ b/docs_src/parameter_types/enum/tutorial005.py
@@ -0,0 +1,16 @@
+from enum import Enum
+
+import typer
+
+NeuralNetwork = Enum("NeuralNetwork", {k: k for k in ["simple", "conv", "lstm"]})
+
+app = typer.Typer()
+
+
+@app.command()
+def main(network: NeuralNetwork = typer.Option("simple", case_sensitive=False)):
+    print(f"Training neural network of type: {network.value}")
+
+
+if __name__ == "__main__":
+    app()
diff --git a/docs_src/parameter_types/enum/tutorial005_an.py b/docs_src/parameter_types/enum/tutorial005_an.py
new file mode 100644
index 0000000000..7f49d03785
--- /dev/null
+++ b/docs_src/parameter_types/enum/tutorial005_an.py
@@ -0,0 +1,19 @@
+from enum import Enum
+from typing import Annotated
+
+import typer
+
+NeuralNetwork = Enum("NeuralNetwork", {k: k for k in ["simple", "conv", "lstm"]})
+
+app = typer.Typer()
+
+
+@app.command()
+def main(
+    network: Annotated[NeuralNetwork, typer.Option(case_sensitive=False)] = "simple",
+):
+    print(f"Training neural network of type: {network.value}")
+
+
+if __name__ == "__main__":
+    app()
diff --git a/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005.py b/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005.py
new file mode 100644
index 0000000000..a646ed302d
--- /dev/null
+++ b/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005.py
@@ -0,0 +1,43 @@
+import subprocess
+import sys
+
+from typer.testing import CliRunner
+
+from docs_src.parameter_types.enum import tutorial005 as mod
+
+runner = CliRunner()
+app = mod.app
+
+
+def test_help():
+    result = runner.invoke(app, ["--help"])
+    assert result.exit_code == 0
+    assert "--network [simple|conv|lstm]" in result.output.replace("  ", "")
+
+
+def test_main():
+    result = runner.invoke(app, ["--network", "conv"])
+    assert result.exit_code == 0
+    assert "Training neural network of type: conv" in result.output
+
+
+def test_invalid():
+    result = runner.invoke(app, ["--network", "capsule"])
+    assert result.exit_code != 0
+    assert "Invalid value for '--network'" in result.output
+    assert (
+        "invalid choice: capsule. (choose from" in result.output
+        or "'capsule' is not one of" in result.output
+    )
+    assert "simple" in result.output
+    assert "conv" in result.output
+    assert "lstm" in result.output
+
+
+def test_script():
+    result = subprocess.run(
+        [sys.executable, "-m", "coverage", "run", mod.__file__, "--help"],
+        capture_output=True,
+        encoding="utf-8",
+    )
+    assert "Usage" in result.stdout
diff --git a/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005_an.py b/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005_an.py
new file mode 100644
index 0000000000..2e5a805fc1
--- /dev/null
+++ b/tests/test_tutorial/test_parameter_types/test_enum/test_tutorial005_an.py
@@ -0,0 +1,43 @@
+import subprocess
+import sys
+
+from typer.testing import CliRunner
+
+from docs_src.parameter_types.enum import tutorial005_an as mod
+
+runner = CliRunner()
+app = mod.app
+
+
+def test_help():
+    result = runner.invoke(app, ["--help"])
+    assert result.exit_code == 0
+    assert "--network [simple|conv|lstm]" in result.output.replace("  ", "")
+
+
+def test_main():
+    result = runner.invoke(app, ["--network", "conv"])
+    assert result.exit_code == 0
+    assert "Training neural network of type: conv" in result.output
+
+
+def test_invalid():
+    result = runner.invoke(app, ["--network", "capsule"])
+    assert result.exit_code != 0
+    assert "Invalid value for '--network'" in result.output
+    assert (
+        "invalid choice: capsule. (choose from" in result.output
+        or "'capsule' is not one of" in result.output
+    )
+    assert "simple" in result.output
+    assert "conv" in result.output
+    assert "lstm" in result.output
+
+
+def test_script():
+    result = subprocess.run(
+        [sys.executable, "-m", "coverage", "run", mod.__file__, "--help"],
+        capture_output=True,
+        encoding="utf-8",
+    )
+    assert "Usage" in result.stdout