diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py
index b9d2bdff6ff..87386b2f184 100644
--- a/python/cudf/cudf/core/series.py
+++ b/python/cudf/cudf/core/series.py
@@ -3510,6 +3510,9 @@ def hash_values(self, method="murmur3"):
     def hash_encode(self, stop, use_name=False):
         """Encode column values as ints in [0, stop) using hash function.
 
+        This method is deprecated. Replace ``series.hash_encode(stop,
+        use_name=False)`` with ``series.hash_values(method="murmur3") % stop``.
+
         Parameters
         ----------
         stop : int
@@ -3544,6 +3547,13 @@ def hash_encode(self, stop, use_name=False):
         2     76
         dtype: int32
         """
+        warnings.warn(
+            "The `hash_encode` method will be removed in a future cuDF "
+            "release. Replace `series.hash_encode(stop, use_name=False)` "
+            'with `series.hash_values(method="murmur3") % stop`.',
+            FutureWarning,
+        )
+
         if not stop > 0:
             raise ValueError("stop must be a positive integer.")
 
diff --git a/python/cudf/cudf/tests/test_dataframe.py b/python/cudf/cudf/tests/test_dataframe.py
index 504f0e40c9d..33068e6f722 100644
--- a/python/cudf/cudf/tests/test_dataframe.py
+++ b/python/cudf/cudf/tests/test_dataframe.py
@@ -2218,24 +2218,30 @@ def test_series_hash_encode(nrows):
     s = cudf.Series(data, name=1)
     num_features = 1000
 
-    encoded_series = s.hash_encode(num_features)
+    with pytest.warns(FutureWarning):
+        encoded_series = s.hash_encode(num_features)
     assert isinstance(encoded_series, cudf.Series)
     enc_arr = encoded_series.to_numpy()
     assert np.all(enc_arr >= 0)
     assert np.max(enc_arr) < num_features
 
-    enc_with_name_arr = s.hash_encode(num_features, use_name=True).to_numpy()
+    with pytest.warns(FutureWarning):
+        enc_with_name_arr = s.hash_encode(
+            num_features, use_name=True
+        ).to_numpy()
     assert enc_with_name_arr[0] != enc_arr[0]
 
 
 def test_series_hash_encode_reproducible_results():
     # Regression test to ensure that hash_encode outputs are reproducible
     data = cudf.Series([0, 1, 2])
-    hash_result = data.hash_encode(stop=2 ** 16, use_name=False)
+    with pytest.warns(FutureWarning):
+        hash_result = data.hash_encode(stop=2 ** 16, use_name=False)
     expected_result = cudf.Series([42165, 55037, 7341])
     assert_eq(hash_result, expected_result)
 
-    hash_result_with_name = data.hash_encode(stop=2 ** 16, use_name=True)
+    with pytest.warns(FutureWarning):
+        hash_result_with_name = data.hash_encode(stop=2 ** 16, use_name=True)
     expected_result_with_name = cudf.Series([36137, 39649, 58673])
     assert_eq(hash_result_with_name, expected_result_with_name)