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Duration 14 hours
Course Outline
Getting Started with AgentCore and Agentic AI
- The role of Agentic AI in business environments
- Fundamental parts of AgentCore
- Its position within the AWS Bedrock landscape
AgentCore Runtime and Gateway Integration
- Configuring the AgentCore Runtime
- Secure API connections via Gateway
- Practical task: releasing a demo agent
Memory and Stateful Agent Design
- Creating persistent context
- Building workflows for long-duration agent tasks
- Practical task: activating session-based memory
Identity, Permissions, and Security Protocols
- Role-based access controls for AI agents
- Identity federation and enterprise system integration
- Practical task: setting agent permission levels
Observability and Monitoring Capabilities
- Logging and tracing features in AgentCore
- Tracking usage and performance metrics
- Practical task: creating observability dashboards
Scaling and Coordinating Multi-Agent Systems
- Patterns for multi-agent teamwork
- Enhancing performance and ensuring reliability
- Practical task: coordinating specialized agents
Governance and Compliance Standards
- Ensuring auditability and safe large-scale deployment
- Compliance frameworks available in AWS
- Recommended practices for regulated sectors
Recap and Future Actions
Requirements
- Familiarity with cloud-based AI and ML services
- Proficiency with tools in the AWS ecosystem
- Awareness of enterprise security and observability principles
Target Audience
- AI/ML engineers
- DevOps leaders
- Solution architects
