diff --git a/inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/ngraph_function_creation_sample.py b/inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/ngraph_function_creation_sample.py
index 84e0ed84ed552e..41ac31cbf4ba3c 100755
--- a/inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/ngraph_function_creation_sample.py
+++ b/inference-engine/ie_bridges/python/sample/ngraph_function_creation_sample/ngraph_function_creation_sample.py
@@ -93,7 +93,7 @@ def shape_and_length(shape: list) -> typing.Tuple[list, int]:
         weights[weights_offset : weights_offset + conv_2_kernel_length].reshape(conv_2_kernel_shape),
     )
     weights_offset += conv_2_kernel_length
-    conv_2_node = ngraph.convolution(maxpool_1_node, conv_2_kernel, [1, 1], padding_begin, padding_end, [1, 1])
+    conv_2_node = ngraph.convolution(maxpool_1_node.output(0), conv_2_kernel, [1, 1], padding_begin, padding_end, [1, 1])
 
     # add 2
     add_2_kernel_shape, add_2_kernel_length = shape_and_length([1, 50, 1, 1])
@@ -115,7 +115,7 @@ def shape_and_length(shape: list) -> typing.Tuple[list, int]:
     )
     reshape_1_kernel = ngraph.constant(dtype_weights)
     weights_offset += 2 * reshape_1_length
-    reshape_1_node = ngraph.reshape(maxpool_2_node, reshape_1_kernel, True)
+    reshape_1_node = ngraph.reshape(maxpool_2_node.output(0), reshape_1_kernel, True)
 
     # matmul 1
     matmul_1_kernel_shape, matmul_1_kernel_length = shape_and_length([500, 800])