diff --git a/tutorials/azureml-in-a-day/azureml-in-a-day.ipynb b/tutorials/azureml-in-a-day/azureml-in-a-day.ipynb
index 860e7c33d3..e9c62b59d9 100644
--- a/tutorials/azureml-in-a-day/azureml-in-a-day.ipynb
+++ b/tutorials/azureml-in-a-day/azureml-in-a-day.ipynb
@@ -186,15 +186,12 @@
                 "dependencies:\n",
                 "  - python=3.10\n",
                 "  - numpy=1.26.4\n",
-                "  - pip=24.0\n",
                 "  - scikit-learn=1.5.1\n",
-                "  - scipy=1.10\n",
-                "  - pandas=1.5.3\n",
+                "  - scipy=1.14.0\n",
+                "  - pandas=2.2.2\n",
+                "  - mlflow=2.14.3\n",
                 "  - pip:\n",
-                "    - inference-schema[numpy-support]==1.3.0\n",
                 "    - xlrd==2.0.1\n",
-                "    - mlflow\n",
-                "    - azureml-mlflow\n",
                 "    - psutil\n",
                 "    - tqdm\n",
                 "    - ipykernel~=6.29\n",
@@ -222,7 +219,7 @@
             "source": [
                 "from azure.ai.ml.entities import Environment\n",
                 "\n",
-                "custom_env_name = \"aml-scikit-learn\"\n",
+                "custom_env_name = \"aml-scikit-learn-v2\"\n",
                 "\n",
                 "pipeline_job_env = Environment(\n",
                 "    name=custom_env_name,\n",
@@ -332,7 +329,7 @@
                 "    mlflow.start_run()\n",
                 "\n",
                 "    # enable autologging\n",
-                "    mlflow.sklearn.autolog()\n",
+                "    mlflow.sklearn.autolog(log_models=False)\n",
                 "\n",
                 "    ###################\n",
                 "    #<prepare the data>\n",
@@ -453,7 +450,7 @@
                 "    ),\n",
                 "    code=\"./src/\",  # location of source code\n",
                 "    command=\"python main.py --data ${{inputs.data}} --test_train_ratio ${{inputs.test_train_ratio}} --learning_rate ${{inputs.learning_rate}} --registered_model_name ${{inputs.registered_model_name}}\",\n",
-                "    environment=\"aml-scikit-learn@latest\",\n",
+                "    environment=\"aml-scikit-learn-v2@latest\",\n",
                 "    experiment_name=\"train_model_credit_default_prediction\",\n",
                 "    display_name=\"credit_default_prediction\",\n",
                 ")"
@@ -477,7 +474,16 @@
             },
             "outputs": [],
             "source": [
-                "ml_client.create_or_update(job)"
+                "returned_job = ml_client.create_or_update(job)"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "ml_client.jobs.stream(returned_job.name)"
             ]
         },
         {