Amazon Q update

Author: RamiyapriyaS-Deloitte

notebooks/GenAI/AWS_Amazon_Q.ipynb

@@ -24,15 +24,15 @@
     "* Implement inline code completions \n",
     "* Generate new code snippets based on specific requirements \n",
     "\n",
-    "## Get Started\n",
-    "\n",
     "## Prerequisites\n",
     "\n",
     "To complete this tutorial, you will need access to SageMaker Studio. \n",
     "Alternatively, you may install Amazon Q Developer in an alternative IDE such as VSCode or JupyterLab. To create a SageMaker Studio domain, access to a Virtual Private Cloud (VPC) is required.\n",
     "\n",
     "Warning: SageMaker Studio is a user interface that offers a wide range of machine learning functionalities, including tools for training and tuning models. However, please be aware that deploying endpoints in SageMaker studio can be very expensive. We strongly recommend using Amazon Bedrock for model testing and Generative AI (GenAI) work to manage costs more effectively.\n",
     "\n",
+    "## Get Started\n",
+    "\n",
     "### Installing Amazon Q Developer on SageMaker Studio\n",
     "1. Navigate to SageMaker Studio and create a domain\n",
     "\n",