In this video, AWS experts demonstrate how to build an AWS Solutions Architect Agent using Amazon Bedrock. The agent leverages the AWS Well-Architected Framework and can deploy Lambda functions. The presenters walk through creating tools for citing the framework and deploying code, then show how to connect these tools to an AI agent in Amazon Bedrock. They explain concepts like Chain of Thought and demonstrate querying the finished agent. This practical guide showcases the power of combining large language models with custom tools to create AI assistants tailored for AWS architecture tasks.

00:00 – Introduction
00:38 – What is an Agent?
01:00 – Citing the AWS Well-Architected Framework
04:38 – Deploying AWS Lambda Functions
06:18 – Chain of Thought
07:35 – Creating an Agent
09:30 – Connecting to a Lambda Function
10:45 – Querying the Agent
11:30 – Conclusion