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Update AWS_Amazon_Q.ipynb
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notebooks/GenAI/AWS_Amazon_Q.ipynb

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"\n",
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"**Difficulty Level: Beginner**\n",
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"### Overview\n",
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"## Overview\n",
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"\n",
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"Amazon Q Developer is a generative artificial intelligence (AI) powered conversational assistant designed to enhance the \n",
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"software development process, particularly within the AWS ecosystem. Amazon Q can assist with various coding tasks such as providing inline code completions, generating new code, and scanning for security vulnerabilities. Amazon Q Developer can be accessed through an IDE such as VSCode and JupyterLab or through the command line. \n",
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"about AWS architecture, AWS resources, best practices, documentation, and support. \n",
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"### Learning Objectives\n",
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"## Learning Objectives\n",
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"* Understand the capabilities of Amazon Q Developer and learn how to access the tool through an IDE \n",
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"* Engage with Amazon Q Developer and ask code-related queries\n",
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"* Implement inline code completions \n",
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"* Generate new code snippets based on specific requirements \n",
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"### Prerequisites\n",
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"## Prerequisites\n",
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"To complete this tutorial, you will need access to SageMaker Studio. \n",
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"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. If this feature is not enabled on your account, please contact our team at [email protected] for assistance.\n",
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}
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"source": [
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"#### Environment Set Up\n",
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"### Environment Set Up\n",
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"Download the scripts required to run this tutorial using wget: \n",
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"cell_type": "markdown",
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"metadata": {},
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"### Conclusions\n",
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"## Conclusions\n",
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"Congrats! You have successfully experimented with the features of Amazon Q. We hope you continue leveraging the powers of GenAI and Amazon Q Developer to drive impactful results in your projects.\n",
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"### Clean Up\n",
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"## Clean Up\n",
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"Once you have completed the tutorial, you may stop the JupyterLab application and delete the SageMaker Studio domain. \n",
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