Overview
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Explore the comprehensive architecture and implementation of enterprise AI agents using Amazon Bedrock AgentCore in this 33-minute conference talk from Conf42 MLOps 2025. Discover the evolution of Agent AI and AWS's strategic vision for intelligent agents before diving deep into the fundamental components that make up AgentCore. Learn about the AgentCore Runtime system that powers agent execution, understand identity management for secure agent operations, and explore the Gateway component that handles agent communications. Examine the Memory system that enables agents to maintain context and learn from interactions, discover the Browser capabilities that allow agents to interact with web content, and understand the Code Interpreter functionality for dynamic code execution. Gain insights into observability features that help monitor and debug agent performance, ensuring reliable enterprise deployments. Master the practical aspects of building, deploying, and scaling AI agents in production environments using AWS's latest agent framework.
Syllabus
00:00 Introduction and Overview
00:36 The Evolution of Agent AI
03:06 AWS Vision for Agents
03:56 Fundamentals of Agent Core
08:34 Agent Core Runtime
12:21 Agent Core Identity
15:50 Agent Core Gateway
20:35 Agent Core Memory
23:52 Agent Core Browser
26:34 Agent Core Code Interpreter
28:19 Agent Core Observability
30:08 Conclusion and Next Steps
Taught by
Conf42