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diff --git a/runtime/onert/backend/train/ops/ConvolutionLayer.h b/runtime/onert/backend/train/ops/ConvolutionLayer.h
new file mode 100644
index 000000000..ed42a2099
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+++ b/runtime/onert/backend/train/ops/ConvolutionLayer.h
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+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __ONERT_BACKEND_TRAIN_OPS_CONVOLUTIONLAYER_H__
+#define __ONERT_BACKEND_TRAIN_OPS_CONVOLUTIONLAYER_H__
+
+#include <ops/ConvolutionLayer.h>
+
+#include <exec/train/ITrainableFunction.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace train
+{
+namespace ops
+{
+
+class ConvolutionLayer : public ::onert::exec::train::ITrainableFunction,
+                         public cpu::ops::ConvolutionLayer
+{
+public:
+  ConvolutionLayer();
+  ~ConvolutionLayer();
+
+  void configure(const IPortableTensor *input, const IPortableTensor *kernel,
+                 const IPortableTensor *bias, ir::PaddingType _paddingType,
+                 const uint32_t paddingLeft, const uint32_t paddingRight, const uint32_t paddingTop,
+                 const uint32_t paddingBottom, const uint32_t strideWidth,
+                 const uint32_t strideHeight, const uint32_t dilationWidthFactor,
+                 const uint32_t dilationHeightFactor, const ir::Activation activation,
+                 IPortableTensor *output);
+  void forward(bool training) override;
+  void backward() override;
+};
+
+} // namespace ops
+} // namespace train
+} // namespace backend
+} // namespace onert
+
+#endif // __ONERT_BACKEND_TRAIN_OPS_CONVOLUTIONLAYER_H__