diff --git a/sagemaker-inference-recommender/inference-recommender.ipynb b/sagemaker-inference-recommender/inference-recommender.ipynb
index f493ed319c..8c6fa80beb 100644
--- a/sagemaker-inference-recommender/inference-recommender.ipynb
+++ b/sagemaker-inference-recommender/inference-recommender.ipynb
@@ -676,11 +676,11 @@
     "import uuid\n",
     "from sagemaker import get_execution_role\n",
     "\n",
-    "client = boto3.client(\"sagemaker\", region)\n",
+    "inference_client = boto3.client(\"sagemaker\", region)\n",
     "\n",
     "role = get_execution_role()\n",
     "default_job = uuid.uuid1()\n",
-    "default_response = client.create_inference_recommendations_job(\n",
+    "default_response = inference_client.create_inference_recommendations_job(\n",
     "    JobName=str(default_job),\n",
     "    JobDescription=\"\",\n",
     "    JobType=\"Default\",\n",
@@ -721,20 +721,22 @@
     "import pprint\n",
     "import pandas as pd\n",
     "\n",
-    "finished = False\n",
-    "while not finished:\n",
-    "    inference_recommender_job = sm_client.describe_inference_recommendations_job(\n",
+    "inference_client = boto3.client(\"sagemaker\", region)\n",
+    "\n",
+    "stopped = False\n",
+    "while not stopped:\n",
+    "    inference_recommender_job = inference_client.describe_inference_recommendations_job(\n",
     "        JobName=str(default_job)\n",
     "    )\n",
     "    if inference_recommender_job[\"Status\"] in [\"COMPLETED\", \"STOPPED\", \"FAILED\"]:\n",
     "        finished = True\n",
     "    else:\n",
-    "        print(\"In progress\")\n",
+    "        print(\"Inference recommender job in progress\")\n",
     "        time.sleep(300)\n",
     "\n",
     "if inference_recommender_job[\"Status\"] == \"FAILED\":\n",
     "    print(\"Inference recommender job failed \")\n",
-    "    print(\"Failed Reason: {}\".format(inference_recommender_job[\"FailureReason\"]))\n",
+    "    print(\"Failed Reason: {}\".inference_recommender_job[\"FailureReason\"])\n",
     "else:\n",
     "    print(\"Inference recommender job completed\")"
    ]
@@ -793,9 +795,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import boto3\n",
+    "import uuid\n",
+    "\n",
+    "inference_client = boto3.client(\"sagemaker\", region)\n",
+    "\n",
     "role = get_execution_role()\n",
     "advanced_job = uuid.uuid1()\n",
-    "advanced_response = sm_client.create_inference_recommendations_job(\n",
+    "advanced_response = inference_client.create_inference_recommendations_job(\n",
     "    JobName=str(advanced_job),\n",
     "    JobDescription=\"\",\n",
     "    JobType=\"Advanced\",\n",
@@ -841,20 +848,27 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "finished = False\n",
-    "while not finished:\n",
-    "    inference_recommender_job = sm_client.describe_inference_recommendations_job(\n",
+    "import boto3\n",
+    "import uuid\n",
+    "import pprint\n",
+    "import pandas as pd\n",
+    "\n",
+    "inference_client = boto3.client(\"sagemaker\", region)\n",
+    "\n",
+    "stopped = False\n",
+    "while not stopped:\n",
+    "    inference_recommender_job = inference_client.describe_inference_recommendations_job(\n",
     "        JobName=str(advanced_job)\n",
     "    )\n",
     "    if inference_recommender_job[\"Status\"] in [\"COMPLETED\", \"STOPPED\", \"FAILED\"]:\n",
     "        finished = True\n",
     "    else:\n",
-    "        print(\"In progress\")\n",
+    "        print(\"Inference recommender job in progress\")\n",
     "        time.sleep(300)\n",
     "\n",
     "if inference_recommender_job[\"Status\"] == \"FAILED\":\n",
     "    print(\"Inference recommender job failed \")\n",
-    "    print(\"Failed Reason: {}\".format(inference_recommender_job[\"FailureReason\"]))\n",
+    "    print(\"Failed Reason: {}\".inference_recommender_job[\"FailureReason\"])\n",
     "else:\n",
     "    print(\"Inference recommender job completed\")"
    ]