diff --git a/notebooks/generative_ai/bq_dataframes_llm_gemini_2.ipynb b/notebooks/generative_ai/bq_dataframes_llm_gemini_2.ipynb
new file mode 100644
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+++ b/notebooks/generative_ai/bq_dataframes_llm_gemini_2.ipynb
@@ -0,0 +1,377 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright 2024 Google LLC\n",
+    "#\n",
+    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+    "# you may not use this file except in compliance with the License.\n",
+    "# You may obtain a copy of the License at\n",
+    "#\n",
+    "#     https://www.apache.org/licenses/LICENSE-2.0\n",
+    "#\n",
+    "# Unless required by applicable law or agreed to in writing, software\n",
+    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+    "# See the License for the specific language governing permissions and\n",
+    "# limitations under the License."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# BigFrames Gemini 2.0 Text Generation Simple Example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: This feature is only available in bigframes >= 1.29.0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import packages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import bigframes.pandas as bpd\n",
+    "from bigframes.ml import llm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create Gemini 2.0 experimental Model with model_name as \"gemini-2.0-flash-exp\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/google/home/garrettwu/src/bigframes/bigframes/ml/llm.py:803: PreviewWarning: Model gemini-2.0-flash-exp is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section of the\n",
+      "            Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available \"as is\"\n",
+      "            and might have limited support. For more information, see the launch stage descriptions\n",
+      "            (https://cloud.google.com/products#product-launch-stages).\n",
+      "  warnings.warn(\n",
+      "/usr/local/google/home/garrettwu/src/bigframes/bigframes/pandas/__init__.py:435: DefaultLocationWarning: No explicit location is set, so using location US for the session.\n",
+      "  return global_session.get_global_session()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "Query job f673a2ea-023e-4771-84a2-fb81f808fa1b is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:f673a2ea-023e-4771-84a2-fb81f808fa1b&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model = llm.GeminiTextGenerator(model_name=\"gemini-2.0-flash-exp\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create a simple DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "Query job 2276ea5b-2e08-4ed6-af34-49a7d165d145 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:2276ea5b-2e08-4ed6-af34-49a7d165d145&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>prompt</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Tell me something about Gemini 2.0.</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 1 columns</p>\n",
+       "</div>[1 rows x 1 columns in total]"
+      ],
+      "text/plain": [
+       "                                prompt\n",
+       "0  Tell me something about Gemini 2.0.\n",
+       "\n",
+       "[1 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = bpd.DataFrame({\"prompt\": [\"Tell me something about Gemini 2.0.\"]})\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Make predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "Query job 9ba21e96-6023-491e-8e83-f2e6fa7df0e7 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:9ba21e96-6023-491e-8e83-f2e6fa7df0e7&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/google/home/garrettwu/src/bigframes/bigframes/core/__init__.py:109: PreviewWarning: Interpreting JSON column(s) as StringDtype. This behavior may change in future versions.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "Query job 933d45cc-4bc0-4bdf-b4b8-573da2d58be3 is DONE. 2 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:933d45cc-4bc0-4bdf-b4b8-573da2d58be3&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "Query job 3dda9bc6-84b1-4f4a-8891-85d25d8848ce is DONE. 4.3 kB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:3dda9bc6-84b1-4f4a-8891-85d25d8848ce&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ml_generate_text_llm_result</th>\n",
+       "      <th>ml_generate_text_rai_result</th>\n",
+       "      <th>ml_generate_text_status</th>\n",
+       "      <th>prompt</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Alright, let's talk about Gemini 2.0! It's a b...</td>\n",
+       "      <td>&lt;NA&gt;</td>\n",
+       "      <td></td>\n",
+       "      <td>Tell me something about Gemini 2.0.</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 4 columns</p>\n",
+       "</div>[1 rows x 4 columns in total]"
+      ],
+      "text/plain": [
+       "                         ml_generate_text_llm_result  \\\n",
+       "0  Alright, let's talk about Gemini 2.0! It's a b...   \n",
+       "\n",
+       "  ml_generate_text_rai_result ml_generate_text_status  \\\n",
+       "0                        <NA>                           \n",
+       "\n",
+       "                                prompt  \n",
+       "0  Tell me something about Gemini 2.0.  \n",
+       "\n",
+       "[1 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result = model.predict(df)\n",
+    "result"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Save the model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "Copy job 8e68af62-e7ab-475b-99c9-b79e8ba3c40b is DONE. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:8e68af62-e7ab-475b-99c9-b79e8ba3c40b&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/local/google/home/garrettwu/src/bigframes/bigframes/ml/llm.py:803: PreviewWarning: Model gemini-2.0-flash-exp is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section of the\n",
+      "            Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available \"as is\"\n",
+      "            and might have limited support. For more information, see the launch stage descriptions\n",
+      "            (https://cloud.google.com/products#product-launch-stages).\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "Query job cae7f929-d8cb-4819-a644-ac832cdc0912 is DONE. 0 Bytes processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:cae7f929-d8cb-4819-a644-ac832cdc0912&page=queryresults\">Open Job</a>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "GeminiTextGenerator(connection_name='bigframes-dev.us.bigframes-rf-connection',\n",
+       "                    model_name='gemini-2.0-flash-exp',\n",
+       "                    session=<bigframes.session.Session object at 0x7f8210630370>)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.to_gbq(\"bigframes-dev.garrettwu.gemini_2_flash\", replace=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/noxfile.py b/noxfile.py
index 341de704e5..cbc9d77558 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -749,6 +749,7 @@ def notebook(session: nox.Session):
         # bq_dataframes_llm_code_generation creates a bucket in the sample.
         "notebooks/generative_ai/bq_dataframes_llm_code_generation.ipynb",  # Needs BUCKET_URI.
         "notebooks/generative_ai/sentiment_analysis.ipynb",  # Too slow
+        "notebooks/generative_ai/bq_dataframes_llm_gemini_2.ipynb",  # Gemini 2.0 backend hasn't ready in prod.
         # TODO(b/366290533): to protect BQML quota
         "notebooks/generative_ai/bq_dataframes_llm_claude3_museum_art.ipynb",
         "notebooks/vertex_sdk/sdk2_bigframes_pytorch.ipynb",  # Needs BUCKET_URI.