diff --git a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb
index 6ed569f9823..eb918f7885e 100644
--- a/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb
+++ b/sdk/python/jobs/pipelines/1h_automl_in_pipeline/automl-forecasting-in-pipeline/automl-forecasting-in-pipeline.ipynb
@@ -392,6 +392,7 @@
    "source": [
     "model_name_str = \"ojmodel\"\n",
     "\n",
+    "\n",
     "# Define pipeline\n",
     "@pipeline(\n",
     "    description=\"AutoML Forecasting Pipeline\",\n",
@@ -644,7 +645,32 @@
    "metadata": {},
    "source": [
     "## 3.1 Get Inference Pipeline Environment\n",
-    "This environment can be created using the `yaml` file, which we have downloaded with other best run's artifacts into the `artifact_downloads` directory."
+    "This environment can be created using the `yaml` file, which we have downloaded with other best run's artifacts into the `artifact_downloads` directory.<br>\n",
+    "We will use workaround to update cmdstanpy in the conda environment file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import yaml\n",
+    "\n",
+    "conda_path = os.path.join(\"artifact_downloads\", \"outputs\", \"conda_env_v_1_0_0.yml\")\n",
+    "with open(conda_path, \"r\") as f:\n",
+    "    dependencies = yaml.safe_load(f)\n",
+    "dependencies[\"dependencies\"][1][\"pip\"].append(\"cmdstanpy==1.2.0\")\n",
+    "conda_updated = os.path.join(\"artifact_downloads\", \"outputs\", \"conda_updated.yml\")\n",
+    "with open(conda_updated, \"w\") as f:\n",
+    "    yaml.dump(dependencies, f)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Filally, load the modified environment."
    ]
   },
   {
@@ -656,9 +682,10 @@
     "from azure.ai.ml.entities import Environment\n",
     "\n",
     "env = Environment(\n",
+    "    name=\"oj-inference-env\",\n",
     "    description=\"environment for automl inference\",\n",
     "    image=\"mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04:latest\",\n",
-    "    conda_file=os.path.join(\"artifact_downloads\", \"outputs\", \"conda_env_v_1_0_0.yml\"),\n",
+    "    conda_file=conda_updated,\n",
     ")"
    ]
   },
@@ -683,6 +710,8 @@
    "outputs": [],
    "source": [
     "output_ds_name = \"oj-output\"\n",
+    "\n",
+    "\n",
     "# Define inference pipeline\n",
     "@pipeline(\n",
     "    description=\"AutoML Inference Pipeline\",\n",