Building Agentic AI with Amazon Bedrock AgentCore

About this course

Build and run AI agents with Amazon Bedrock AgentCore. You will deploy agents with your preferred framework, manage identity and security, connect tools through the gateway, add memory and monitor agents in production.

What you'll learn

• Define agentic AI characteristics and differentiate them from traditional AI systems.
• Identify the core agent components and their interactions.
• Describe how Bedrock AgentCore services support agentic AI.
• Deploy agents by using supported frameworks with AgentCore Runtime.
• Describe the core features of AgentCore Runtime.
• Configure serverless execution with session isolation.
• Configure AgentCore Identity for enterprise security requirements.
• Create policies to secure agent tool calls using AgentCore Policy.
• Implement secure token management and permission delegation.
• Ensure compliance with data governance and audit requirements.
• Implement different tool integration patterns, including built-in tools and protocol-based tools.
• Design and deploy Model Context Protocol (MCP) servers and clients for extensible agent capabilities.
• Describe common authentication patterns for agent tool use.
• Configure AgentCore Gateway components for secure and authorized tool access.
• Implement agentic memory patterns for different use cases.
• Configure AgentCore Memory operations for context-aware development.
• Optimize memory performance for production workloads.
• Configure AgentCore Observability for production monitoring.
• Implement Amazon CloudWatch integration and specialized tracing.
• Describe the core features of AgentCore Evaluations.
• Integrate agentic systems with production APIs and services.
• Design deployment strategies for production environments.
• Assess production readiness and establish continuous improvement processes

Curriculum

Who it's for

Developers building agentic applications on AWS.

Before you start

• Agentic AI Foundations