Tools and Technologies
- Building your first production-ready AI agent with Amazon Bedrock AgentCore | AWS Show & Tell
- Build Your First Agent Workflow with Strands
- Build your first Agentic AI app step-by-step with Strands Agents & MCP
FAQs
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How do I get AWS credits?
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How do I get access to Kiro?
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Do I need a credit card in order to participate? You can sign up via AWS builder ID where credit card is not needed. It's a personal profile for accessing specific AWS tools and services like Amazon CodeWhisperer, Amazon Q Developer, and AWS Training and Certification, but not for managing and deploying resources in an AWS account. You still need an actual AWS account to provision resources like Amazon S3 or EC2 and to use tools like the AWS Management Console, AWS CLI, or SDKs for building applications. Additionally, here is more info on Setting up your AWS payment preferences. |
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If I'm an AWS Partner or Customer, am I eligible to participate?
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Are there rate limits? Here is a link on Tips for managing model token limits. You can view default quota amount that your account has and request more if you expect to need more. As for the FMs/LLMs, model must be hosted out of on Amazon Bedrock or Amazon SageMaker AI. If you can host the hf model on one of the mentioned services, that's fine. Let me know if you have more questions! |
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What is an Architecture Diagram?
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How do I access LLMs hosted on AWS Bedrock? You'll need to follow a process through the Bedrock console.
For detailed instructions with screenshots, please refer to our workshop documentation:
1. Open this URL: https://catalog.workshops.aws/agentcore-getting-started/en-US/00-prerequisites/01-at-an-aws-event
2. Navigate to the "Amazon Bedrock console and click on Model access" section where you'll find step-by-step instructions. |
