Getting started with Amazon Bedrock

After setting up your Amazon Bedrock IAM role, you can sign into the Amazon Bedrock console and request access to foundation models

Request access to Amazon Nova models or other foundation models offered through Amazon Bedrock by following the steps in the Amazon Bedrock user guide.

For a step-by-step guide to generate an API key that you can use to quickly access the Amazon Bedrock API, see Get started with Amazon Bedrock API keys: Generate a 30-day key and make your first API call.

After you've fulfilled all the prerequisites, select one of the following topics to test out making model invocation requests using Amazon Bedrock models:

• Get started with Amazon Bedrock API keys: Generate a 30-day key and make your first API call

• Run example Amazon Bedrock API requests with the AWS Command Line Interface

• Run example Amazon Bedrock API requests through the AWS SDK for Python (Boto3)

• Run example Amazon Bedrock API requests using an Amazon SageMaker AI notebook

To use Amazon Bedrock in SageMaker Unified Studio, you must be a member of an Amazon SageMaker Unified Studio domain. Your organization will provide you with login information; contact your administrator if you don't have your login details.

Find serverless models with the Amazon Bedrock model catalog. Generate text responses from a model by sending text and image prompts in the chat playground or generate and edit images and videos by sending text and image prompts to a suitable model in the image and video playground.

Create two types of generative AI apps. First, a chat agent app to chat with an Amazon Bedrock model through a conversational interface. Second, a flow app to link together prompts, supported Amazon Bedrock models, and other units of work such as a knowledge base, to create generative AI workflows. Evaluate models for different task types and then share your app to collaborate with your team.