diff --git a/python/cudf/cudf/tests/test_binops.py b/python/cudf/cudf/tests/test_binops.py
index 02ca7a0cd58..21168cc0885 100644
--- a/python/cudf/cudf/tests/test_binops.py
+++ b/python/cudf/cudf/tests/test_binops.py
@@ -4,6 +4,7 @@
 import decimal
 import operator
 import random
+from contextlib import contextmanager
 from itertools import combinations_with_replacement, product
 
 import cupy as cp
@@ -26,6 +27,24 @@
 
 STRING_TYPES = {"str"}
 
+
+@contextmanager
+def _hide_deprecated_ops_warnings(func, lhs, rhs):
+    if func in {
+        cudf.logical_and,
+        cudf.logical_or,
+        cudf.remainder,
+    } and isinstance(lhs, cudf.Series):
+        name = func.__name__
+        with pytest.warns(
+            FutureWarning,
+            match=f"Series.{name} is deprecated and will be removed.",
+        ):
+            yield
+    else:
+        yield
+
+
 _binops = [
     operator.add,
     operator.sub,
@@ -170,7 +189,8 @@ def test_series_logical_binop(lhstype, rhstype, binop, cubinop):
         arr2 = arr2 * (np.random.random(10) * 100).astype(rhstype)
     sr2 = Series(arr2)
 
-    result = cubinop(sr1, sr2)
+    with _hide_deprecated_ops_warnings(cubinop, sr1, sr2):
+        result = cubinop(sr1, sr2)
     expect = binop(arr1, arr2)
 
     utils.assert_eq(result, expect)
@@ -955,7 +975,9 @@ def test_ufunc_ops(lhs, rhs, ops):
         curhs = rhs
 
     expect = np_op(lhs, rhs)
-    got = cu_op(culhs, curhs)
+    with _hide_deprecated_ops_warnings(cu_op, culhs, curhs):
+        got = cu_op(culhs, curhs)
+
     if np.isscalar(expect):
         assert got == expect
     else:
@@ -1741,8 +1763,10 @@ def test_binops_with_lhs_numpy_scalar(frame, dtype):
     else:
         val = cudf.dtype(dtype).type(4)
 
-    expected = val == data.to_pandas()
-    got = val == data
+    # Compare equality with series on left side to dispatch to the pandas/cudf
+    # __eq__ operator and avoid a DeprecationWarning from numpy.
+    expected = data.to_pandas() == val
+    got = data == val
 
     # In case of index, expected would be a numpy array
     if isinstance(data, cudf.BaseIndex):