Building and Optimizing AI Agents in Amazon Bedrock

Join Raji as she takes us through an in-depth exploration of creating and optimizing AI agents using Amazon Bedrock. In this session, we’ll start with an introduction to Artificial General Intelligence followed by a breakdown of AI agent components. Raji will guide us through real-world examples, showcase the unique features of Amazon Bedrock, and demonstrate how to create and fine-tune agents using Bedrock’s tools. This comprehensive session provides everything you need to know to build smarter, more efficient AI solutions.

00:00 - Intro
01:26 - Introduction to Artificial General Intelligence
03:31 - System 1 and System 2 type of thinking in AI
05:52 - Components of AI Agents
08:37 - Examples of AI Agents
10:12 - Features of Amazon Bedrock Agents
11:46 - Prompt template editor in Bedrock
15:11 - Meet Maya, a grocery store owner
15:32 - Maya's challenges
16:54 - Maya meets Amazon Bedrock
18:48 - Creating a new Bedrock Agent
22:59 - Action group
23:37 - Lambda function of the action group
25:54 - OpenAPI schema JSON of the action group
29:40 - Knowledge base in Bedrock Agent
30:12 - Preparing the Agent
33:19 - Testing the Agent
33:30 - Interpreting the trace in Agent
45:35 - Summary

[shayonsanyal]

Nice video! The GitHub repo says “404 error” 😢