Merge branch 'main' into automl_image_online_explain

notebooks/community/ml_ops/stage6/get_started_with_automl_image_model_online.ipynb

@@ -62,7 +62,7 @@
     "## Overview\n",
     "\n",
     "\n",
-    "This tutorial demonstrates how to use the Vertex AI SDK to create image classification models and do batch prediction using a Vertex AI [AutoML](https://cloud.google.com/vertex-ai/docs/start/automl-users) model."
+    "This tutorial demonstrates how to use the Vertex AI SDK to create image classification models and do online prediction using a Vertex AI [AutoML](https://cloud.google.com/vertex-ai/docs/start/automl-users) model."
    ]
   },
   {
@@ -78,8 +78,10 @@
     "This tutorial uses the following Google Cloud ML services and resources:\n",
     "\n",
     "- `Vertex AutoML`\n",
-    "- `Vertex AI Online Prediction`\n",
+    "- `Vertex AI Prediction`\n",
+    "- `Vertex AI Datasets`\n",
     "- `Vertex AI Models`\n",
+    "- `Vertex AI Endpoints`\n",
     "\n",
     "The steps performed include:\n",
     "\n",
@@ -628,7 +630,7 @@
     "id": "tutorial_start:automl"
    },
    "source": [
-    "# Tutorial\n",
+    "## AutoML Image model training\n",
     "\n",
     "Now you are ready to start creating your own AutoML image classification model."
    ]
@@ -718,7 +720,7 @@
     "dataset = aiplatform.ImageDataset.create(\n",
     "    display_name=\"Flowers\" + \"_\" + UUID,\n",
     "    gcs_source=[IMPORT_FILE],\n",
-    "    import_schema_uri=aiplatform.schema.dataset.ioformat.image.single_label_classification,\n",
+    "    import_schema_uri=aiplatform.schema.dataset.ioformat.image.single_label_classification\n",
     ")\n",
     "\n",
     "print(dataset.resource_name)"
@@ -943,9 +945,9 @@
     "id": "make_prediction"
    },
    "source": [
-    "## Send a online prediction request\n",
+    "## Send an online prediction request\n",
     "\n",
-    "Send a online prediction to your deployed model."
+    "Send an online prediction to your deployed model."
    ]
   },
   {