Amazon Bedrock is an offering from AWS that allows you to make use of large language models without having to worry about the technical complexity of training, deploying, or hosting them. You can access the models through the Amazon Bedrock API, and you only pay for the prompts and responses you use.
Learning how to integrate Amazon Bedrock with Amazon RDS Aurora MySQL will benefit anyone who regularly works with databases or anyone looking to learn more about how to use AI models in their applications.
In this hands-on lab, you will configure an Amazon Aurora MySQL RDS cluster to access Amazon Bedrock, use SQL to call a model to generate synthetic data, and you will use a model to enrich data in a table.
Please note: This lab creates an Amazon Aurora MySQL cluster, which takes approximately ten minutes to complete. Please ensure you have enough time available before starting the lab.
Learning objectives
Upon completion of this beginner-level lab, you will be able to:
- Attach a Bedrock IAM policy to an IAM role
- Configure an Amazon Aurora RDS MySQL cluster to use Amazon Bedrock
- Use SQL to call an Amazon Bedrock model to generate synthetic data
- Use an Amazon Bedrock model to enrich data in a table
Intended audience
- Candidates for the AWS Certified Machine Learning Specialty
- Cloud Architects
- Data Engineers
- DevOps Engineers
- Machine Learning Engineers
- Software Engineers
Prerequisites
Familiarity with the following will be beneficial but is not required:
- Amazon Aurora MySQL
- Amazon Bedrock
- Structured Query Language (SQL)
The following content can be used to fulfill the prerequisites:
Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.
He holds multiple AWS certifications including Solutions Architect Associate and Professional.