Build and deploy scalable serverless agentic applications with Amazon Bedrock.
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Instructor: Mike Chambers
Build and deploy scalable serverless agentic applications with Amazon Bedrock.
Integrate tools, code execution, and guardrails to manage agentic actions effectively.
Design responsible agents with safeguards to prevent malicious prompts and unintended outputs.
Agentic workflows handle unpredictable tasks based on user input, like making API calls. A serverless architecture efficiently manages these tasks and varying workloads without maintaining servers, enabling faster deployment.
You will learn to protect sensitive information and shield customers from harmful content by employing agents with guardrails.
This course teaches you to build and deploy a serverless agentic application. Youâll learn to create agents with tools, code execution, and guardrails. The serverless setup is ideal for agents that might need to access many tools or APIs on demand.
Youâll explore this through hands-on examples where youâll:
The course will implement two elements essential to the deployment of business applications:
In detail, hereâs what youâll do:
By the end, you will have built a sophisticated AI agent capable of handling real-world customer support scenarios, fully serverless, and ready to scale.
Anyone who has basic Python knowledge and wants to build an agentic application for business or personal use. Itâs useful to understand serverless deployment and cloud-based applications.
Introduction
Your first agent with Amazon Bedrock
Connecting with a CRM
Performing calculations
Guard Rails
Reading the FAQ manual
Console Walkthrough
Conclusion
Developer Advocate for Generative AI at AWS, Co-instructor of Generative AI with Large Language Models
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