diff --git a/docs/tutorials/aws/AIConnectorHelper.ipynb b/docs/tutorials/aws/AIConnectorHelper.ipynb
index 5ff0bad4aa..5b9697cdb8 100644
--- a/docs/tutorials/aws/AIConnectorHelper.ipynb
+++ b/docs/tutorials/aws/AIConnectorHelper.ipynb
@@ -586,20 +586,21 @@
     "connector_role_name = 'my_test_bedrock_connector_role'\n",
     "create_connector_role_name = 'my_test_create_bedrock_connector_role'\n",
     "\n",
+    "bedrock_region = 'us-west-2' # bedrock region could be different with OpenSearch domain region\n",
     "create_connector_input = {\n",
     "  \"name\": \"Amazon Bedrock Connector: titan embedding v1\",\n",
     "  \"description\": \"The connector to bedrock Titan embedding model\",\n",
     "  \"version\": 1,\n",
     "  \"protocol\": \"aws_sigv4\",\n",
     "  \"parameters\": {\n",
-    "    \"region\": region,\n",
+    "    \"region\": bedrock_region,\n",
     "    \"service_name\": \"bedrock\"\n",
     "  },\n",
     "  \"actions\": [\n",
     "    {\n",
     "      \"action_type\": \"predict\",\n",
     "      \"method\": \"POST\",\n",
-    "      \"url\": f\"https://bedrock-runtime.{region}.amazonaws.com/model/amazon.titan-embed-text-v1/invoke\",\n",
+    "      \"url\": f\"https://bedrock-runtime.{bedrock_region}.amazonaws.com/model/amazon.titan-embed-text-v1/invoke\",\n",
     "      \"headers\": {\n",
     "        \"content-type\": \"application/json\",\n",
     "        \"x-amz-content-sha256\": \"required\"\n",
@@ -722,13 +723,14 @@
     "create_connector_role_name = 'my_test_create_sagemaker_connector_role'\n",
     "sagemaker_inference_endpoint_url = '...' # set your SageMaker inference endpoint URL\n",
     "\n",
+    "sagemaker_endpoint_region = 'us-west-2' # SageMaker endpoint region could be different with OpenSearch domain region\n",
     "create_connector_input = {\n",
     "  \"name\": \"Sagemaker embedding model connector\",\n",
     "  \"description\": \"Connector for my Sagemaker embedding model\",\n",
     "  \"version\": \"1.0\",\n",
     "  \"protocol\": \"aws_sigv4\",\n",
     "  \"parameters\": {\n",
-    "    \"region\": region,\n",
+    "    \"region\": sagemaker_endpoint_region,\n",
     "    \"service_name\": \"sagemaker\"\n",
     "  },\n",
     "  \"actions\": [\n",
@@ -839,7 +841,9 @@
    ],
    "source": [
     "secret_name = 'my_test_cohere_secret'\n",
-    "secret_value = {\"my_cohere_key\": \"...\"} # set your Cohere API key\n",
+    "secret_key = 'my_cohere_key'\n",
+    "secret_value = '...' # set your Cohere API key\n",
+    "secret_value = { secret_key: secret_value }\n",
     "# You can use existing role if the role permission and trust relationship are correct. \n",
     "# To quick start, you can specify new role names. AIConnectorHelper will create role automatically.\n",
     "connector_role_name = 'my_test_cohere_connector_role'\n",
@@ -861,7 +865,7 @@
     "      \"method\": \"POST\",\n",
     "      \"url\": \"https://api.cohere.ai/v1/embed\",\n",
     "      \"headers\": {\n",
-    "        \"Authorization\": \"Bearer ${credential.secretArn.my_cohere_key}\",\n",
+    "        \"Authorization\": f\"Bearer ${{credential.secretArn.{secret_key}}}\",\n",
     "        \"Request-Source\": \"unspecified:opensearch\"\n",
     "      },\n",
     "      \"request_body\": \"{ \\\"texts\\\": ${parameters.texts}, \\\"truncate\\\": \\\"${parameters.truncate}\\\", \\\"model\\\": \\\"${parameters.model}\\\", \\\"input_type\\\": \\\"${parameters.input_type}\\\" }\",\n",
@@ -965,7 +969,9 @@
    ],
    "source": [
     "secret_name = 'my_test_openai_secret'\n",
-    "secret_value = {\"my_openai_key\": \"...\"} # set your OpenAI API key\n",
+    "secret_key = 'my_openai_key'\n",
+    "secret_value = '...' # set your OpenAI API key\n",
+    "secret_value = { secret_key : secret_value }\n",
     "# You can use existing role if the role permission and trust relationship are correct. \n",
     "# To quick start, you can specify new role names. AIConnectorHelper will create role automatically.\n",
     "connector_role_name = 'my_test_openai_connector_role'\n",
@@ -985,7 +991,7 @@
     "      \"method\": \"POST\",\n",
     "      \"url\": \"https://api.openai.com/v1/embeddings\",\n",
     "      \"headers\": {\n",
-    "        \"Authorization\": \"Bearer ${credential.secretArn.my_openai_key}\"\n",
+    "        \"Authorization\": f\"Bearer ${{credential.secretArn.{secret_key}}}\",\n",
     "      },\n",
     "      \"request_body\": \"{ \\\"input\\\": ${parameters.input}, \\\"model\\\": \\\"${parameters.model}\\\" }\",\n",
     "      \"pre_process_function\": \"connector.pre_process.openai.embedding\",\n",