diff --git a/.gitignore b/.gitignore
index afd700b49952..d60111a20eed 100644
--- a/.gitignore
+++ b/.gitignore
@@ -19,4 +19,4 @@ examples/**/*.jpg
 .python-version
 .coverage
 *coverage.xml
-.ruff_cache
\ No newline at end of file
+
diff --git a/keras/src/backend/openvino/excluded_concrete_tests.txt b/keras/src/backend/openvino/excluded_concrete_tests.txt
index 48dd1ffb49e9..15504179dcd7 100644
--- a/keras/src/backend/openvino/excluded_concrete_tests.txt
+++ b/keras/src/backend/openvino/excluded_concrete_tests.txt
@@ -43,7 +43,6 @@ NumpyDtypeTest::test_meshgrid
 NumpyDtypeTest::test_minimum_python_types
 NumpyDtypeTest::test_multiply
 NumpyDtypeTest::test_power
-NumpyDtypeTest::test_prod
 NumpyDtypeTest::test_quantile
 NumpyDtypeTest::test_repeat
 NumpyDtypeTest::test_roll
@@ -104,7 +103,6 @@ NumpyOneInputOpsCorrectnessTest::test_pad_int16_constant_2
 NumpyOneInputOpsCorrectnessTest::test_pad_int8_constant_2
 NumpyOneInputOpsCorrectnessTest::test_pad_uint8_constant_2
 NumpyOneInputOpsCorrectnessTest::test_pad_int32_constant_2
-NumpyOneInputOpsCorrectnessTest::test_prod
 NumpyOneInputOpsCorrectnessTest::test_real
 NumpyOneInputOpsCorrectnessTest::test_repeat
 NumpyOneInputOpsCorrectnessTest::test_reshape
diff --git a/keras/src/backend/openvino/numpy.py b/keras/src/backend/openvino/numpy.py
index 4f9fae1c986f..ba82d965bb16 100644
--- a/keras/src/backend/openvino/numpy.py
+++ b/keras/src/backend/openvino/numpy.py
@@ -1262,8 +1262,42 @@ def pad(x, pad_width, mode="constant", constant_values=None):
 
 
 def prod(x, axis=None, keepdims=False, dtype=None):
-    raise NotImplementedError("`prod` is not supported with openvino backend")
+    if axis == () or axis == []:
+        return x
+
+    x = get_ov_output(x)
+
+    if axis is None:
+        flatten_shape = ov_opset.constant([-1], Type.i32).output(0)
+        x = ov_opset.reshape(x, flatten_shape, False).output(0)
+        axis = 0
+    elif isinstance(axis, tuple):
+        axis = list(axis)
+
+    axis = ov_opset.constant(axis, Type.i32).output(0)
+
+    x_type = x.get_element_type()
+
+    if x_type == Type.boolean:
+        result_node = ov_opset.reduce_logical_and(x, axis, keepdims).output(0)
+        final_result = ov_opset.convert(result_node, Type.i32).output(0)
+        return OpenVINOKerasTensor(final_result)
+
+    target_type = None
+    if dtype is None:
+        if x_type in [Type.i8, Type.i16]:
+            target_type = Type.i32
+        elif x_type in [Type.u8, Type.u16]:
+            target_type = Type.u32
+        else:
+            target_type = x_type
+    else:
+        dtype_string = standardize_dtype(dtype)
+        target_type = OPENVINO_DTYPES[dtype_string]
 
+    prod_result = ov_opset.reduce_prod(x, axis, keepdims).output(0)
+    final_result = ov_opset.convert(prod_result, target_type).output(0)
+    return OpenVINOKerasTensor(final_result)
 
 def quantile(x, q, axis=None, method="linear", keepdims=False):
     raise NotImplementedError(