diff --git a/tests/integration/cli/visual_prompting/__init__.py b/tests/integration/cli/visual_prompting/__init__.py
new file mode 100644
index 00000000000..9c68be83ef0
--- /dev/null
+++ b/tests/integration/cli/visual_prompting/__init__.py
@@ -0,0 +1,3 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
diff --git a/tests/integration/cli/visual_prompting/test_visual_prompting.py b/tests/integration/cli/visual_prompting/test_visual_prompting.py
new file mode 100644
index 00000000000..3901a68dda5
--- /dev/null
+++ b/tests/integration/cli/visual_prompting/test_visual_prompting.py
@@ -0,0 +1,87 @@
+"""Tests for Visual Prompting with OTX CLI"""
+
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import os
+import copy
+import pytest
+
+from otx.cli.registry import Registry
+from tests.test_suite.e2e_test_system import e2e_pytest_component
+from tests.test_suite.run_test_command import (
+    get_template_dir,
+    otx_eval_testing,
+    otx_resume_testing,
+    otx_train_testing,
+)
+
+args_polygon = {
+    "--train-data-roots": "tests/assets/car_tree_bug",
+    "--val-data-roots": "tests/assets/car_tree_bug",
+    "--test-data-roots": "tests/assets/car_tree_bug",
+    "--input": "tests/assets/car_tree_bug/images/train",
+    "train_params": [
+        "params",
+        "--learning_parameters.trainer.max_epochs", "1",
+        "--learning_parameters.dataset.batch_size", "2",
+        "--learning_parameters.dataset.use_mask", "False",
+    ],
+}
+
+args_mask = {
+    "--train-data-roots": "tests/assets/car_tree_bug",
+    "--val-data-roots": "tests/assets/car_tree_bug",
+    "--test-data-roots": "tests/assets/car_tree_bug",
+    "--input": "tests/assets/car_tree_bug/images/train",
+    "train_params": [
+        "params",
+        "--learning_parameters.trainer.max_epochs", "1",
+        "--learning_parameters.dataset.batch_size", "2",
+        "--learning_parameters.dataset.use_mask", "True",
+    ],
+}
+
+# Training params for resume, num_iters*2
+resume_params = [
+    "params",
+    "--learning_parameters.trainer.max_epochs", "2",
+    "--learning_parameters.dataset.batch_size", "4",
+]
+
+otx_dir = os.getcwd()
+
+
+templates = Registry("otx/algorithms/visual_prompting").filter(task_type="VISUAL_PROMPTING").templates
+templates_ids = [template.model_template_id for template in templates]
+
+
+class TestVisualPromptingCLI:
+    @e2e_pytest_component
+    @pytest.mark.parametrize("template", templates, ids=templates_ids)
+    @pytest.mark.parametrize("args", [args_polygon, args_mask])
+    def test_otx_train(self, args, template, tmp_dir_path):
+        tmp_dir_path = tmp_dir_path / "visual_prompting"
+        otx_train_testing(template, tmp_dir_path, otx_dir, args)
+
+    @e2e_pytest_component
+    @pytest.mark.parametrize("template", templates, ids=templates_ids)
+    @pytest.mark.parametrize("args", [args_polygon, args_mask])
+    def test_otx_resume(self, args, template, tmp_dir_path):
+        tmp_dir_path = tmp_dir_path / "visual_prompting/test_resume"
+        otx_resume_testing(template, tmp_dir_path, otx_dir, args)
+        template_work_dir = get_template_dir(template, tmp_dir_path)
+        args1 = copy.deepcopy(args)
+        args1["train_params"] = resume_params
+        args1[
+            "--resume-from"
+        ] = f"{template_work_dir}/trained_for_resume_{template.model_template_id}/models/weights.pth"
+        otx_resume_testing(template, tmp_dir_path, otx_dir, args1)
+
+    @e2e_pytest_component
+    @pytest.mark.parametrize("template", templates, ids=templates_ids)
+    @pytest.mark.parametrize("args", [args_polygon, args_mask])
+    def test_otx_eval(self, args, template, tmp_dir_path):
+        tmp_dir_path = tmp_dir_path / "visual_prompting"
+        otx_eval_testing(template, tmp_dir_path, otx_dir, args)