diff --git a/tutorials/get-started-notebooks/quickstart.ipynb b/tutorials/get-started-notebooks/quickstart.ipynb
index c1777d1314..b6320f5d41 100644
--- a/tutorials/get-started-notebooks/quickstart.ipynb
+++ b/tutorials/get-started-notebooks/quickstart.ipynb
@@ -255,31 +255,20 @@
     "    # Registering the model to the workspace\n",
     "    print(\"Registering the model via MLFlow\")\n",
     "\n",
-    "    # pin numpy\n",
-    "    conda_env = {\n",
-    "        'name': 'mlflow-env',\n",
-    "        'channels': ['conda-forge'],\n",
-    "        'dependencies': [\n",
-    "            'python=3.10.15',\n",
-    "            'pip<=21.3.1',\n",
-    "            {\n",
-    "                'pip': [\n",
-    "                    'mlflow==2.17.0',\n",
-    "                    'cloudpickle==2.2.1',\n",
-    "                    'pandas==1.5.3',\n",
-    "                    'psutil==5.8.0',\n",
-    "                    'scikit-learn==1.5.2',\n",
-    "                    'numpy==1.26.4',\n",
-    "                ]\n",
-    "            }\n",
-    "        ],\n",
-    "    }\n",
-    "\n",
-    "    mlflow.sklearn.log_model(\n",
-    "        sk_model=clf,\n",
-    "        registered_model_name=args.registered_model_name,\n",
-    "        artifact_path=args.registered_model_name,\n",
-    "        conda_env=conda_env,\n",
+    "    # Save model locally, remove conda.yaml to avoid Docker build failure,\n",
+    "    # then log artifacts and register (AzureML Docker template uses\n",
+    "    # deprecated conda info --root in newer conda versions)\n",
+    "    model_local_path = \"model_output\"\n",
+    "    mlflow.sklearn.save_model(sk_model=clf, path=model_local_path)\n",
+    "    for fname in [\"conda.yaml\", \"requirements.txt\"]:\n",
+    "        fp = os.path.join(model_local_path, fname)\n",
+    "        if os.path.exists(fp):\n",
+    "            os.remove(fp)\n",
+    "    mlflow.log_artifacts(model_local_path, artifact_path=args.registered_model_name)\n",
+    "    run_id = mlflow.active_run().info.run_id\n",
+    "    mlflow.register_model(\n",
+    "        f\"runs:/{run_id}/{args.registered_model_name}\",\n",
+    "        args.registered_model_name,\n",
     "    )\n",
     "\n",
     "    # Saving the model to a file\n",
@@ -353,7 +342,7 @@
     "        registered_model_name=registered_model_name,\n",
     "    ),\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",
+    "    command=\"pip install mlflow==2.17.0 && 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=\"azureml://registries/azureml/environments/sklearn-1.5/labels/latest\",\n",
     "    display_name=\"credit_default_prediction\",\n",
     ")"
@@ -721,4 +710,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file