diff --git a/requirements-test.txt b/requirements-test.txt
index 3443484..8263293 100644
--- a/requirements-test.txt
+++ b/requirements-test.txt
@@ -1,2 +1,3 @@
 pytest>=8.0
 pytest-xdist>=3.0
+google-cloud-aiplatform>=1.119.0
\ No newline at end of file
diff --git a/tests/integration/test_colab_execution.py b/tests/integration/test_colab_execution.py
new file mode 100644
index 0000000..f8b8929
--- /dev/null
+++ b/tests/integration/test_colab_execution.py
@@ -0,0 +1,118 @@
+# Copyright 2025 Google LLC
+#
+# 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.
+
+from google.cloud import aiplatform_v1
+from google.cloud.aiplatform_v1.types import JobState
+
+import os
+import uuid
+import pytest
+import logging
+
+LOGGER = logging.getLogger(__name__)
+
+REPOSITORY_ID = "97193e1e-c5d1-4ce8-bc6f-cf206c701624"
+TEMPLATE_ID = "6409629422399258624"
+
+
+@pytest.fixture
+def test_project():
+    return os.getenv("GOOGLE_CLOUD_PROJECT")
+
+
+@pytest.fixture
+def test_region():
+    return os.getenv("GOOGLE_CLOUD_REGION")
+
+
+@pytest.fixture
+def test_service_account():
+    return os.getenv("DATAPROC_SPARK_CONNECT_SERVICE_ACCOUNT")
+
+
+@pytest.fixture
+def test_template():
+    return TEMPLATE_ID
+
+
+@pytest.fixture
+def test_repository():
+    return REPOSITORY_ID
+
+
+def test_executing_colab_notebook(
+    test_project,
+    test_region,
+    test_service_account,
+    test_template,
+    test_repository,
+):
+    """Test executing a Colab notebook that uses Spark Connect."""
+    test_api_endpoint = f"{test_region}-aiplatform.googleapis.com"
+    test_parent = f"projects/{test_project}/locations/{test_region}"
+    test_execution_display_name = (
+        f"spark-connect-e2e-notebook-test-{uuid.uuid4().hex}"
+    )
+
+    LOGGER.info(
+        f"Starting notebook execution job with display name: {test_execution_display_name}"
+    )
+
+    notebook_service_client = aiplatform_v1.NotebookServiceClient(
+        client_options={
+            "api_endpoint": test_api_endpoint,
+        }
+    )
+
+    operation = notebook_service_client.create_notebook_execution_job(
+        parent=test_parent,
+        notebook_execution_job={
+            "display_name": test_execution_display_name,
+            # Specify a NotebookRuntimeTemplate to source compute configuration from
+            "notebook_runtime_template_resource_name": f"projects/{test_project}/locations/{test_region}/notebookRuntimeTemplates/{test_template}",
+            # Specify a Colab Enterprise notebook to run
+            "dataform_repository_source": {
+                "dataform_repository_resource_name": f"projects/{test_project}/locations/{test_region}/repositories/{test_repository}",
+            },
+            "gcs_notebook_source": {
+                "uri": "gs://e2e-testing-bucket/input/notebooks/spark_connect_e2e_notebook_test.ipynb",
+            },
+            # Specify a Cloud Storage bucket to store output artifacts
+            "gcs_output_uri": "gs://e2e-testing-bucket/output",
+            # Run as the service account instead
+            "service_account": f"{test_service_account}",
+        },
+    )
+    LOGGER.info("Waiting for operation to complete...")
+
+    result = operation.result()
+    LOGGER.info(f"Notebook execution uri: {result}")
+
+    notebook_execution_jobs = (
+        notebook_service_client.list_notebook_execution_jobs(parent=test_parent)
+    )
+    executed_job = list(
+        filter(
+            lambda job: job.display_name == test_execution_display_name,
+            notebook_execution_jobs,
+        )
+    )
+
+    assert len(executed_job) == 1
+    executed_job = executed_job[0]
+
+    LOGGER.info(executed_job)
+
+    LOGGER.info(f"Job status: {executed_job.job_state}")
+    assert executed_job.job_state == JobState.JOB_STATE_SUCCEEDED