Developing An Application on AWS using Generative AI

Generative AI models can be an invaluable resource when developing applications. Using them to provide expert-level advice and assistance can greatly speed up and improve the quality of application development.

Learning how to make use of Generative AI models in a development context will benefit anyone looking to develop applications more efficiently.

In this hands-on lab, you will access a Generative AI model, and use it to develop and deploy an application hosted on AWS.

Learning objectives

Upon completion of this beginner-level lab, you will be able to:

• Access the Amazon Bedrock console and prompt a model
• Use a Generative AI model to generate an Infrastructure as Code (IaC) template
• Generate AWS Lambda function code that identifies anomalous amounts in transactions
• Validate and verify code manually and using tooling

Intended audience

• Candidates for the AWS Certified AI Practitioner certification
• Cloud Architects
• Data Engineers
• DevOps Engineers
• Machine Learning Engineers
• Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

• Amazon Bedrock
• AWS Serverless Application Model (SAM)
• The Python coding language

The following content can be used to fulfill the prerequisites:

• Building and Scaling Generative AI Applications with Amazon Bedrock
• Building and Running Serverless Applications Using the SAM CLI
• Python for Beginners

Updates

July 30th, 2025 - Update lab instructions to use Amazon Nova model