diff --git a/samples/model-builder/conftest.py b/samples/model-builder/conftest.py
index 01e944b19c..3f60573613 100644
--- a/samples/model-builder/conftest.py
+++ b/samples/model-builder/conftest.py
@@ -138,17 +138,58 @@ def mock_import_text_dataset(mock_text_dataset):
 
 
 @pytest.fixture
-def mock_init_automl_image_training_job():
-    with patch.object(
-        aiplatform.training_jobs.AutoMLImageTrainingJob, "__init__"
-    ) as mock:
-        mock.return_value = None
+def mock_custom_training_job():
+    mock = MagicMock(aiplatform.training_jobs.CustomTrainingJob)
+    yield mock
+
+
+@pytest.fixture
+def mock_image_training_job():
+    mock = MagicMock(aiplatform.training_jobs.AutoMLImageTrainingJob)
+    yield mock
+
+
+@pytest.fixture
+def mock_tabular_training_job():
+    mock = MagicMock(aiplatform.training_jobs.AutoMLTabularTrainingJob)
+    yield mock
+
+
+@pytest.fixture
+def mock_text_training_job():
+    mock = MagicMock(aiplatform.training_jobs.AutoMLTextTrainingJob)
+    yield mock
+
+
+@pytest.fixture
+def mock_video_training_job():
+    mock = MagicMock(aiplatform.training_jobs.AutoMLVideoTrainingJob)
+    yield mock
+
+
+@pytest.fixture
+def mock_get_automl_tabular_training_job(mock_tabular_training_job):
+    with patch.object(aiplatform, "AutoMLTabularTrainingJob") as mock:
+        mock.return_value = mock_tabular_training_job
+        yield mock
+
+
+@pytest.fixture
+def mock_run_automl_tabular_training_job(mock_tabular_training_job):
+    with patch.object(mock_tabular_training_job, "run") as mock:
+        yield mock
+
+
+@pytest.fixture
+def mock_get_automl_image_training_job(mock_image_training_job):
+    with patch.object(aiplatform, "AutoMLImageTrainingJob") as mock:
+        mock.return_value = mock_image_training_job
         yield mock
 
 
 @pytest.fixture
-def mock_run_automl_image_training_job():
-    with patch.object(aiplatform.training_jobs.AutoMLImageTrainingJob, "run") as mock:
+def mock_run_automl_image_training_job(mock_image_training_job):
+    with patch.object(mock_image_training_job, "run") as mock:
         yield mock
 
 
@@ -173,15 +214,21 @@ def mock_run_custom_training_job():
 
 
 @pytest.fixture
-def mock_init_model():
-    with patch.object(aiplatform.models.Model, "__init__") as mock:
-        mock.return_value = None
+def mock_model():
+    mock = MagicMock(aiplatform.models.Model)
+    yield mock
+
+
+@pytest.fixture
+def mock_get_model(mock_model):
+    with patch.object(aiplatform, "Model") as mock:
+        mock.return_value = mock_model
         yield mock
 
 
 @pytest.fixture
-def mock_batch_predict_model():
-    with patch.object(aiplatform.models.Model, "batch_predict") as mock:
+def mock_batch_predict_model(mock_model):
+    with patch.object(mock_model, "batch_predict") as mock:
         yield mock
 
 
@@ -211,6 +258,12 @@ def mock_endpoint():
     yield mock
 
 
+@pytest.fixture
+def mock_create_endpoint():
+    with patch.object(aiplatform.Endpoint, "create") as mock:
+        yield mock
+
+
 @pytest.fixture
 def mock_get_endpoint(mock_endpoint):
     with patch.object(aiplatform, "Endpoint") as mock_get_endpoint:
diff --git a/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample.py b/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample.py
new file mode 100644
index 0000000000..b7f4ea8013
--- /dev/null
+++ b/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample.py
@@ -0,0 +1,36 @@
+# Copyright 2021 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
+#
+#     https://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
+
+
+# [START aiplatform_sdk_create_and_import_dataset_tabular_bigquery_sample]
+def create_and_import_dataset_tabular_bigquery_sample(
+    display_name: str, project: str, location: str, bigquery_source: str,
+):
+
+    aiplatform.init(project=project, location=location)
+
+    dataset = aiplatform.TabularDataset.create(
+        display_name=display_name, bigquery_source=bigquery_source,
+    )
+
+    dataset.wait()
+
+    print(f'\tDataset: "{dataset.display_name}"')
+    print(f'\tname: "{dataset.resource_name}"')
+
+
+# [END aiplatform_sdk_create_and_import_dataset_tabular_bigquery_sample]
diff --git a/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample_test.py b/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample_test.py
new file mode 100644
index 0000000000..6eefcf7702
--- /dev/null
+++ b/samples/model-builder/create_and_import_dataset_tabular_bigquery_sample_test.py
@@ -0,0 +1,36 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import create_and_import_dataset_tabular_bigquery_sample
+import test_constants as constants
+
+
+def test_create_and_import_dataset_tabular_bigquery_sample(
+    mock_sdk_init, mock_create_tabular_dataset
+):
+
+    create_and_import_dataset_tabular_bigquery_sample.create_and_import_dataset_tabular_bigquery_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        bigquery_source=constants.BIGQUERY_SOURCE,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_create_tabular_dataset.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME, bigquery_source=constants.BIGQUERY_SOURCE,
+    )
diff --git a/samples/model-builder/create_and_import_dataset_tabular_gcs_sample.py b/samples/model-builder/create_and_import_dataset_tabular_gcs_sample.py
new file mode 100644
index 0000000000..cac7a64d89
--- /dev/null
+++ b/samples/model-builder/create_and_import_dataset_tabular_gcs_sample.py
@@ -0,0 +1,37 @@
+# Copyright 2021 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
+#
+#     https://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 typing import List, Union
+
+from google.cloud import aiplatform
+
+
+# [START aiplatform_sdk_create_and_import_dataset_tabular_gcs_sample]
+def create_and_import_dataset_tabular_gcs_sample(
+    display_name: str, project: str, location: str, gcs_source: Union[str, List[str]],
+):
+
+    aiplatform.init(project=project, location=location)
+
+    dataset = aiplatform.TabularDataset.create(
+        display_name=display_name, gcs_source=gcs_source,
+    )
+
+    dataset.wait()
+
+    print(f'\tDataset: "{dataset.display_name}"')
+    print(f'\tname: "{dataset.resource_name}"')
+
+
+# [END aiplatform_sdk_create_and_import_dataset_tabular_gcs_sample]
diff --git a/samples/model-builder/create_and_import_dataset_tabular_gcs_sample_test.py b/samples/model-builder/create_and_import_dataset_tabular_gcs_sample_test.py
new file mode 100644
index 0000000000..ca8679be01
--- /dev/null
+++ b/samples/model-builder/create_and_import_dataset_tabular_gcs_sample_test.py
@@ -0,0 +1,36 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import create_and_import_dataset_tabular_gcs_sample
+import test_constants as constants
+
+
+def test_create_and_import_dataset_tabular_gcs_sample(
+    mock_sdk_init, mock_create_tabular_dataset
+):
+
+    create_and_import_dataset_tabular_gcs_sample.create_and_import_dataset_tabular_gcs_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        gcs_source=constants.GCS_SOURCES,
+        display_name=constants.DISPLAY_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_create_tabular_dataset.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME, gcs_source=constants.GCS_SOURCES,
+    )
diff --git a/samples/model-builder/create_batch_prediction_job_sample_test.py b/samples/model-builder/create_batch_prediction_job_sample_test.py
index f39c1020b5..6d3c68e77e 100644
--- a/samples/model-builder/create_batch_prediction_job_sample_test.py
+++ b/samples/model-builder/create_batch_prediction_job_sample_test.py
@@ -18,7 +18,7 @@
 
 
 def test_create_batch_prediction_job_sample(
-    mock_sdk_init, mock_init_model, mock_batch_predict_model
+    mock_sdk_init, mock_get_model, mock_batch_predict_model
 ):
 
     create_batch_prediction_job_sample.create_batch_prediction_job_sample(
@@ -33,7 +33,7 @@ def test_create_batch_prediction_job_sample(
     mock_sdk_init.assert_called_once_with(
         project=constants.PROJECT, location=constants.LOCATION
     )
-    mock_init_model.assert_called_once_with(constants.MODEL_NAME)
+    mock_get_model.assert_called_once_with(constants.MODEL_NAME)
     mock_batch_predict_model.assert_called_once_with(
         job_display_name=constants.DISPLAY_NAME,
         gcs_source=constants.GCS_SOURCES,
diff --git a/samples/model-builder/create_endpoint_sample.py b/samples/model-builder/create_endpoint_sample.py
new file mode 100644
index 0000000000..fa3762bd57
--- /dev/null
+++ b/samples/model-builder/create_endpoint_sample.py
@@ -0,0 +1,34 @@
+# Copyright 2021 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
+#
+#     https://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
+
+
+#  [START aiplatform_sdk_create_endpoint_sample]
+def create_endpoint_sample(
+    project: str, display_name: str, location: str, sync: bool = True,
+):
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint.create(
+        display_name=display_name, project=project, location=location,
+    )
+
+    print(endpoint.display_name)
+    print(endpoint.resource_name)
+    print(endpoint.uri)
+    return endpoint
+
+
+#  [END aiplatform_sdk_create_endpoint_sample]
diff --git a/samples/model-builder/create_endpoint_sample_test.py b/samples/model-builder/create_endpoint_sample_test.py
new file mode 100644
index 0000000000..af3631d93a
--- /dev/null
+++ b/samples/model-builder/create_endpoint_sample_test.py
@@ -0,0 +1,36 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import create_endpoint_sample
+import test_constants as constants
+
+
+def test_create_endpoint_sample(mock_sdk_init, mock_create_endpoint):
+
+    create_endpoint_sample.create_endpoint_sample(
+        project=constants.PROJECT,
+        display_name=constants.DISPLAY_NAME,
+        location=constants.LOCATION,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_create_endpoint.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+    )
diff --git a/samples/model-builder/create_training_pipeline_image_classification_sample_test.py b/samples/model-builder/create_training_pipeline_image_classification_sample_test.py
index cb91898938..1c7080e7a1 100644
--- a/samples/model-builder/create_training_pipeline_image_classification_sample_test.py
+++ b/samples/model-builder/create_training_pipeline_image_classification_sample_test.py
@@ -20,7 +20,7 @@
 def test_create_training_pipeline_image_classification_sample(
     mock_sdk_init,
     mock_image_dataset,
-    mock_init_automl_image_training_job,
+    mock_get_automl_image_training_job,
     mock_run_automl_image_training_job,
     mock_get_image_dataset,
 ):
@@ -43,7 +43,7 @@ def test_create_training_pipeline_image_classification_sample(
     mock_sdk_init.assert_called_once_with(
         project=constants.PROJECT, location=constants.LOCATION
     )
-    mock_init_automl_image_training_job.assert_called_once_with(
+    mock_get_automl_image_training_job.assert_called_once_with(
         display_name=constants.DISPLAY_NAME
     )
     mock_run_automl_image_training_job.assert_called_once_with(
diff --git a/samples/model-builder/create_training_pipeline_tabular_classification_sample.py b/samples/model-builder/create_training_pipeline_tabular_classification_sample.py
new file mode 100644
index 0000000000..6bd9405383
--- /dev/null
+++ b/samples/model-builder/create_training_pipeline_tabular_classification_sample.py
@@ -0,0 +1,59 @@
+# Copyright 2021 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
+#
+#     https://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
+
+
+#  [START aiplatform_sdk_create_training_pipeline_tabular_classification_sample]
+def create_training_pipeline_tabular_classification_sample(
+    project: str,
+    display_name: str,
+    dataset_id: int,
+    location: str = "us-central1",
+    model_display_name: str = None,
+    training_fraction_split: float = 0.8,
+    validation_fraction_split: float = 0.1,
+    test_fraction_split: float = 0.1,
+    budget_milli_node_hours: int = 8000,
+    disable_early_stopping: bool = False,
+    sync: bool = True,
+):
+    aiplatform.init(project=project, location=location)
+
+    tabular_classification_job = aiplatform.AutoMLTabularTrainingJob(
+        display_name=display_name,
+    )
+
+    my_tabular_dataset = aiplatform.TabularDataset(dataset_id)
+
+    model = tabular_classification_job.run(
+        dataset=my_tabular_dataset,
+        training_fraction_split=training_fraction_split,
+        validation_fraction_split=validation_fraction_split,
+        test_fraction_split=test_fraction_split,
+        budget_milli_node_hours=budget_milli_node_hours,
+        model_display_name=model_display_name,
+        disable_early_stopping=disable_early_stopping,
+        sync=sync,
+    )
+
+    model.wait()
+
+    print(model.display_name)
+    print(model.resource_name)
+    print(model.uri)
+    return model
+
+
+#  [END aiplatform_sdk_create_training_pipeline_tabular_classification_sample]
diff --git a/samples/model-builder/create_training_pipeline_tabular_classification_sample_test.py b/samples/model-builder/create_training_pipeline_tabular_classification_sample_test.py
new file mode 100644
index 0000000000..c015e99785
--- /dev/null
+++ b/samples/model-builder/create_training_pipeline_tabular_classification_sample_test.py
@@ -0,0 +1,57 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import create_training_pipeline_tabular_classification_sample
+import test_constants as constants
+
+
+def test_create_training_pipeline_tabular_classification_sample(
+    mock_sdk_init,
+    mock_tabular_dataset,
+    mock_get_automl_tabular_training_job,
+    mock_run_automl_tabular_training_job,
+    mock_get_tabular_dataset,
+):
+
+    create_training_pipeline_tabular_classification_sample.create_training_pipeline_tabular_classification_sample(
+        project=constants.PROJECT,
+        display_name=constants.DISPLAY_NAME,
+        dataset_id=constants.RESOURCE_ID,
+        model_display_name=constants.DISPLAY_NAME_2,
+        training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
+        validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
+        test_fraction_split=constants.TEST_FRACTION_SPLIT,
+        budget_milli_node_hours=constants.BUDGET_MILLI_NODE_HOURS_8000,
+        disable_early_stopping=False,
+    )
+
+    mock_get_tabular_dataset.assert_called_once_with(constants.RESOURCE_ID)
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_get_automl_tabular_training_job.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+    )
+    mock_run_automl_tabular_training_job.assert_called_once_with(
+        dataset=mock_tabular_dataset,
+        model_display_name=constants.DISPLAY_NAME_2,
+        training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
+        validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
+        test_fraction_split=constants.TEST_FRACTION_SPLIT,
+        budget_milli_node_hours=constants.BUDGET_MILLI_NODE_HOURS_8000,
+        disable_early_stopping=False,
+        sync=True,
+    )
diff --git a/samples/model-builder/create_training_pipeline_tabular_regression_sample.py b/samples/model-builder/create_training_pipeline_tabular_regression_sample.py
new file mode 100644
index 0000000000..2404bb37e2
--- /dev/null
+++ b/samples/model-builder/create_training_pipeline_tabular_regression_sample.py
@@ -0,0 +1,59 @@
+# Copyright 2021 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
+#
+#     https://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
+
+
+#  [START aiplatform_sdk_create_training_pipeline_tabular_regression_sample]
+def create_training_pipeline_tabular_regression_sample(
+    project: str,
+    display_name: str,
+    dataset_id: int,
+    location: str = "us-central1",
+    model_display_name: str = None,
+    training_fraction_split: float = 0.8,
+    validation_fraction_split: float = 0.1,
+    test_fraction_split: float = 0.1,
+    budget_milli_node_hours: int = 8000,
+    disable_early_stopping: bool = False,
+    sync: bool = True,
+):
+    aiplatform.init(project=project, location=location)
+
+    tabular_regression_job = aiplatform.AutoMLTabularTrainingJob(
+        display_name=display_name,
+    )
+
+    my_tabular_dataset = aiplatform.TabularDataset(dataset_id)
+
+    model = tabular_regression_job.run(
+        dataset=my_tabular_dataset,
+        training_fraction_split=training_fraction_split,
+        validation_fraction_split=validation_fraction_split,
+        test_fraction_split=test_fraction_split,
+        budget_milli_node_hours=budget_milli_node_hours,
+        model_display_name=model_display_name,
+        disable_early_stopping=disable_early_stopping,
+        sync=sync,
+    )
+
+    model.wait()
+
+    print(model.display_name)
+    print(model.resource_name)
+    print(model.uri)
+    return model
+
+
+#  [END aiplatform_sdk_create_training_pipeline_tabular_regression_sample]
diff --git a/samples/model-builder/create_training_pipeline_tabular_regression_sample_test.py b/samples/model-builder/create_training_pipeline_tabular_regression_sample_test.py
new file mode 100644
index 0000000000..1e897b5851
--- /dev/null
+++ b/samples/model-builder/create_training_pipeline_tabular_regression_sample_test.py
@@ -0,0 +1,57 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import create_training_pipeline_tabular_regression_sample
+import test_constants as constants
+
+
+def test_create_training_pipeline_tabular_regression_sample(
+    mock_sdk_init,
+    mock_tabular_dataset,
+    mock_get_automl_tabular_training_job,
+    mock_run_automl_tabular_training_job,
+    mock_get_tabular_dataset,
+):
+
+    create_training_pipeline_tabular_regression_sample.create_training_pipeline_tabular_regression_sample(
+        project=constants.PROJECT,
+        display_name=constants.DISPLAY_NAME,
+        dataset_id=constants.RESOURCE_ID,
+        model_display_name=constants.DISPLAY_NAME_2,
+        training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
+        validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
+        test_fraction_split=constants.TEST_FRACTION_SPLIT,
+        budget_milli_node_hours=constants.BUDGET_MILLI_NODE_HOURS_8000,
+        disable_early_stopping=False,
+    )
+
+    mock_get_tabular_dataset.assert_called_once_with(constants.RESOURCE_ID)
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+    mock_get_automl_tabular_training_job.assert_called_once_with(
+        display_name=constants.DISPLAY_NAME,
+    )
+    mock_run_automl_tabular_training_job.assert_called_once_with(
+        dataset=mock_tabular_dataset,
+        model_display_name=constants.DISPLAY_NAME_2,
+        training_fraction_split=constants.TRAINING_FRACTION_SPLIT,
+        validation_fraction_split=constants.VALIDATION_FRACTION_SPLIT,
+        test_fraction_split=constants.TEST_FRACTION_SPLIT,
+        budget_milli_node_hours=constants.BUDGET_MILLI_NODE_HOURS_8000,
+        disable_early_stopping=False,
+        sync=True,
+    )
diff --git a/samples/model-builder/import_data_text_entity_extraction_sample_test.py b/samples/model-builder/import_data_text_entity_extraction_sample_test.py
index a3b93e9200..44ce9cc328 100644
--- a/samples/model-builder/import_data_text_entity_extraction_sample_test.py
+++ b/samples/model-builder/import_data_text_entity_extraction_sample_test.py
@@ -34,9 +34,7 @@ def test_import_data_text_entity_extraction_sample(
         project=constants.PROJECT, location=constants.LOCATION
     )
 
-    mock_get_text_dataset.assert_called_once_with(
-        constants.DATASET_NAME,
-    )
+    mock_get_text_dataset.assert_called_once_with(constants.DATASET_NAME,)
 
     mock_import_text_dataset.assert_called_once_with(
         gcs_source=constants.GCS_SOURCES,
diff --git a/samples/model-builder/import_data_text_sentiment_analysis_sample_test.py b/samples/model-builder/import_data_text_sentiment_analysis_sample_test.py
index 2134d66b35..8bfd6ac0c3 100644
--- a/samples/model-builder/import_data_text_sentiment_analysis_sample_test.py
+++ b/samples/model-builder/import_data_text_sentiment_analysis_sample_test.py
@@ -34,9 +34,7 @@ def test_import_data_text_sentiment_analysis_sample(
         project=constants.PROJECT, location=constants.LOCATION
     )
 
-    mock_get_text_dataset.assert_called_once_with(
-        constants.DATASET_NAME,
-    )
+    mock_get_text_dataset.assert_called_once_with(constants.DATASET_NAME,)
 
     mock_import_text_dataset.assert_called_once_with(
         gcs_source=constants.GCS_SOURCES,
diff --git a/samples/model-builder/predict_tabular_classification_sample.py b/samples/model-builder/predict_tabular_classification_sample.py
new file mode 100644
index 0000000000..e5b1a0283d
--- /dev/null
+++ b/samples/model-builder/predict_tabular_classification_sample.py
@@ -0,0 +1,35 @@
+# Copyright 2021 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
+#
+#     https://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 typing import Dict, List
+
+from google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_predict_tabular_classification_sample]
+def predict_tabular_classification_sample(
+    project: str, location: str, endpoint: str, instances: List[Dict],
+):
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint(endpoint)
+
+    response = endpoint.predict(instances=instances)
+
+    for prediction_ in response.predictions:
+        print(prediction_)
+
+
+#  [END aiplatform_sdk_predict_tabular_classification_sample]
diff --git a/samples/model-builder/predict_tabular_classification_sample_test.py b/samples/model-builder/predict_tabular_classification_sample_test.py
new file mode 100644
index 0000000000..49a701115b
--- /dev/null
+++ b/samples/model-builder/predict_tabular_classification_sample_test.py
@@ -0,0 +1,33 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import predict_tabular_classification_sample
+import test_constants as constants
+
+
+def test_predict_tabular_classification_sample(mock_sdk_init, mock_get_endpoint):
+
+    predict_tabular_classification_sample.predict_tabular_classification_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        endpoint=constants.ENDPOINT_NAME,
+        instances=constants.PREDICTION_TABULAR_CLASSIFICATION_INSTANCE,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)
diff --git a/samples/model-builder/predict_tabular_regression_sample.py b/samples/model-builder/predict_tabular_regression_sample.py
new file mode 100644
index 0000000000..fee4d34e38
--- /dev/null
+++ b/samples/model-builder/predict_tabular_regression_sample.py
@@ -0,0 +1,34 @@
+# Copyright 2021 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
+#
+#     https://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 typing import Dict, List
+
+from google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_predict_tabular_regression_sample]
+def predict_tabular_regression_sample(
+    project: str, location: str, endpoint: str, instances: List[Dict],
+):
+    aiplatform.init(project=project, location=location)
+
+    endpoint = aiplatform.Endpoint(endpoint)
+
+    response = endpoint.predict(instances=instances)
+
+    for prediction_ in response.predictions:
+        print(prediction_)
+
+
+#  [END aiplatform_sdk_predict_tabular_regression_sample]
diff --git a/samples/model-builder/predict_tabular_regression_sample_test.py b/samples/model-builder/predict_tabular_regression_sample_test.py
new file mode 100644
index 0000000000..7491d7c1d5
--- /dev/null
+++ b/samples/model-builder/predict_tabular_regression_sample_test.py
@@ -0,0 +1,33 @@
+# Copyright 2021 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
+#
+#     https://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.
+
+
+import predict_tabular_regression_sample
+import test_constants as constants
+
+
+def test_predict_tabular_regression_sample(mock_sdk_init, mock_get_endpoint):
+
+    predict_tabular_regression_sample.predict_tabular_regression_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        endpoint=constants.ENDPOINT_NAME,
+        instances=constants.PREDICTION_TABULAR_REGRESSOIN_INSTANCE,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)
diff --git a/samples/model-builder/predict_text_classification_single_label_sample_test.py b/samples/model-builder/predict_text_classification_single_label_sample_test.py
index c446235a79..789f2962c3 100644
--- a/samples/model-builder/predict_text_classification_single_label_sample_test.py
+++ b/samples/model-builder/predict_text_classification_single_label_sample_test.py
@@ -32,6 +32,4 @@ def test_predict_text_classification_single_label_sample(
         project=constants.PROJECT, location=constants.LOCATION
     )
 
-    mock_get_endpoint.assert_called_once_with(
-        constants.ENDPOINT_NAME,
-    )
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)
diff --git a/samples/model-builder/predict_text_entity_extraction_sample_test.py b/samples/model-builder/predict_text_entity_extraction_sample_test.py
index 3ca2b49b43..3b123ff148 100644
--- a/samples/model-builder/predict_text_entity_extraction_sample_test.py
+++ b/samples/model-builder/predict_text_entity_extraction_sample_test.py
@@ -30,6 +30,4 @@ def test_predict_text_entity_extraction_sample(mock_sdk_init, mock_get_endpoint)
         project=constants.PROJECT, location=constants.LOCATION
     )
 
-    mock_get_endpoint.assert_called_once_with(
-        constants.ENDPOINT_NAME,
-    )
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)
diff --git a/samples/model-builder/predict_text_sentiment_analysis_sample_test.py b/samples/model-builder/predict_text_sentiment_analysis_sample_test.py
index c2ed180c9f..e3a3fad58c 100644
--- a/samples/model-builder/predict_text_sentiment_analysis_sample_test.py
+++ b/samples/model-builder/predict_text_sentiment_analysis_sample_test.py
@@ -30,6 +30,4 @@ def test_predict_text_sentiment_analysis_sample(mock_sdk_init, mock_get_endpoint
         project=constants.PROJECT, location=constants.LOCATION
     )
 
-    mock_get_endpoint.assert_called_once_with(
-        constants.ENDPOINT_NAME,
-    )
+    mock_get_endpoint.assert_called_once_with(constants.ENDPOINT_NAME,)
diff --git a/samples/model-builder/test_constants.py b/samples/model-builder/test_constants.py
index 1a27b2c530..aabd4f9637 100644
--- a/samples/model-builder/test_constants.py
+++ b/samples/model-builder/test_constants.py
@@ -39,6 +39,8 @@
 MODEL_NAME = f"{PARENT}/models/{RESOURCE_ID}"
 TRAINING_JOB_NAME = f"{PARENT}/trainingJobs/{RESOURCE_ID}"
 
+BIGQUERY_SOURCE = f"bq://{PROJECT}.{DATASET_NAME}.table1"
+
 GCS_SOURCES = ["gs://bucket1/source1.jsonl", "gs://bucket7/source4.jsonl"]
 BIGQUERY_SOURCE = "bq://bigquery-public-data.ml_datasets.iris"
 GCS_DESTINATION = "gs://bucket3/output-dir/"
@@ -53,6 +55,41 @@
 
 PREDICTION_TEXT_INSTANCE = "This is some text for testing NLP prediction output"
 
+PREDICTION_TABULAR_CLASSIFICATION_INSTANCE = [
+    {
+        "petal_length": "1.4",
+        "petal_width": "1.3",
+        "sepal_length": "5.1",
+        "sepal_width": "2.8",
+    }
+]
+PREDICTION_TABULAR_REGRESSOIN_INSTANCE = [
+    {
+        "BOOLEAN_2unique_NULLABLE": False,
+        "DATETIME_1unique_NULLABLE": "2019-01-01 00:00:00",
+        "DATE_1unique_NULLABLE": "2019-01-01",
+        "FLOAT_5000unique_NULLABLE": 1611,
+        "FLOAT_5000unique_REPEATED": [2320, 1192],
+        "INTEGER_5000unique_NULLABLE": "8",
+        "NUMERIC_5000unique_NULLABLE": 16,
+        "STRING_5000unique_NULLABLE": "str-2",
+        "STRUCT_NULLABLE": {
+            "BOOLEAN_2unique_NULLABLE": False,
+            "DATE_1unique_NULLABLE": "2019-01-01",
+            "DATETIME_1unique_NULLABLE": "2019-01-01 00:00:00",
+            "FLOAT_5000unique_NULLABLE": 1308,
+            "FLOAT_5000unique_REPEATED": [2323, 1178],
+            "FLOAT_5000unique_REQUIRED": 3089,
+            "INTEGER_5000unique_NULLABLE": "1777",
+            "NUMERIC_5000unique_NULLABLE": 3323,
+            "TIME_1unique_NULLABLE": "23:59:59.999999",
+            "STRING_5000unique_NULLABLE": "str-49",
+            "TIMESTAMP_1unique_NULLABLE": "1546387199999999",
+        },
+        "TIMESTAMP_1unique_NULLABLE": "1546387199999999",
+        "TIME_1unique_NULLABLE": "23:59:59.999999",
+    }
+]
 SCRIPT_PATH = "task.py"
 CONTAINER_URI = "gcr.io/my_project/my_image:latest"
 ARGS = ["--tfds", "tf_flowers:3.*.*"]