Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Key elements of the AgentCore architecture
- Context within the broader AWS Bedrock ecosystem
AgentCore Runtime and Gateway
- Configuring the AgentCore Runtime
- Achieving secure API integration via Gateway
- Practical task: deploying a demonstration agent
Memory and Stateful Agents
- Creating persistent context for agents
- Structuring long-duration agent workflows
- Practical task: activating session-based memory features
Identity, Permissions, and Security
- Implementing role-based access controls for AI agents
- Identity federation and enterprise system integration
- Practical task: setting up agent permission structures
Observability and Monitoring
- Utilizing logging and tracing features in AgentCore
- Tracking usage metrics and performance indicators
- Practical task: building observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Architectural patterns for multi-agent cooperation
- Enhancing performance and ensuring system reliability
- Practical task: coordinating specialized agents
Governance and Compliance
- Ensuring auditability and safe large-scale deployments
- Reviewing compliance frameworks within AWS
- Applying best practices in regulated sectors
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI/ML services
- Practical experience with the AWS ecosystem
- Understanding of enterprise-level security and observability principles
Intended Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
