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Duration 14 hours
Course Outline
Introduction to AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Essential elements of AgentCore
- Integration within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway
- Configuration and setup of the AgentCore Runtime
- Secure API integration through Gateway
- Hands-on task: deploying a reference agent
Memory and Stateful Agents
- Establishing persistent context for agents
- Designing workflows for long-running agent tasks
- Hands-on task: activating session-based memory features
Identity, Permissions, and Security
- Implementing role-based access for AI agents
- Identity federation and integration with enterprise systems
- Hands-on task: setting up agent permissions
Observability and Monitoring
- Logging and tracing capabilities in AgentCore
- Tracking metrics for usage and performance
- Hands-on task: creating observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Architectural patterns for multi-agent collaboration
- Enhancing performance and ensuring reliability
- Hands-on task: orchestrating specialized agents
Governance and Compliance
- Ensuring auditability and safe large-scale rollouts
- Compliance frameworks available on AWS
- Best practices for highly regulated sectors
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services
- Proficiency with tools within the AWS ecosystem
- Understanding of enterprise-level security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
