Detailed Roadmap: Generative AI implementation in serverless computing using AWS Bedrock, SageMaker, LangChain, and Boto3

Generative AI implementation in serverless computing using AWS Bedrock, SageMaker, LangChain, and Boto3 AWS Bedrock, SageMaker, LangChain, and Boto3 are powerful tools that allow you to build, deploy, and fine-tune generative AI models within the AWS ecosystem. Whether you're working with natural language processing, devops automation, computer vision, or other AI tasks, these services provide the infrastructure , development toolkits and APIs you need to succeed.

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Steps

CDK will create an Api Gateway, along with a resource and a POST method. There's a AWS Lambda function that will be taking the prompt and invoking an Amazon Bedrock model (anthropic.claude-v2) synchronously. If you wish to try other models, make sure to modify the policy attached to the Lambda function and invoke the right model.

Prerequisites:

Before we get into the good stuff, first we need to make sure we have the required services on our local machine or dev server, which are:

• Basic knowledge of AWS CDK.
• AWS Account
• GitHub Account
• AWS CLI installed and configured.
• Docker installed locally.
• AWS CDK installed.
• Typescript installed
• Postman
• Python 3
• NPM
• NodeJS

Deployment Instructions

1. Create virtual environment for Python

   python3 -m venv .venv
   

   For a Windows platform, activate the virtualenv like this:

   .venv\Scripts\activate.bat
   

2. Install the Python required dependencies:

   pip install -r requirements.txt
   

!pip install -U boto3 langchain !pip install amazon-textract-textractor amazon-textract-prettyprinter pypdf Pillow 3. Run the command below to bootstrap your account. CDK needs it to deploy cdk bootstrap 4. Review the CloudFormation template the cdk generates for you stack using the following AWS CDK CLI command: cdk synth 5. From the command line, use AWS CDK to deploy the AWS resources. cdk deploy

Testing

Follow the example below and replace {your-api-url} with your api url.

```
curl -X POST \
https://77gtvoj9lg.execute-api.us-east-1.amazonaws.com/prod/text_gen \
-H "Content-Type: application/json" \
-d '{"prompt": "AI tell me about the coupon code in ecommerce website"}'
```

Thank you for Reading !! 🙌🏻, see you in the next article.🤘

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