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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments.
- Fundamental components of AgentCore.
- AgentCore’s place within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway Integration
- Configuring the AgentCore Runtime.
- Achieving secure API integration via Gateway.
- Hands-on task: deploying a demo agent.
Memory Management and Stateful Agents
- Establishing persistent context for agents.
- Creating workflows for long-running agent operations.
- Hands-on task: setting up session-based memory.
Identity, Access Control, and Security
- Implementing role-based access for AI agents.
- Identity federation and integration with enterprise systems.
- Hands-on task: setting agent permissions.
Observability and Performance Monitoring
- Utilizing logging and tracing features in AgentCore.
- Tracking usage and performance metrics.
- Hands-on task: creating observability dashboards.
Scaling and Orchestrating Multi-Agent Architectures
- Patterns for facilitating multi-agent collaboration.
- Optimizing performance and ensuring reliability.
- Hands-on task: orchestrating specialized agents.
Governance and Regulatory Compliance
- Ensuring auditability and safe large-scale rollout.
- Compliance frameworks available within AWS.
- Best practices for highly regulated sectors.
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services.
- Hands-on experience with tools within the AWS ecosystem.
- Proficiency in enterprise security and observability principles.
Target Audience
- AI/ML Engineers.
- DevOps Leaders.
- Solution Architects.
