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
Overview of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments.
- Essential components of the AgentCore framework.
- How AgentCore fits into the broader AWS Bedrock ecosystem.
AgentCore Runtime and Gateway Mechanics
- Initial setup and configuration of the AgentCore Runtime.
- Hands-on task: deploying a basic agent instance.
Memory Management and Stateful Agents
- Strategies for implementing persistent context.
- Architecting workflows for long-running agent tasks.
- Hands-on task: activating session-based memory features.
Identity, Permissions, and Security Protocols
- Implementing role-based access control for AI agents.
- Hands-on task: setting up agent-specific permission sets.
Observability and System Monitoring
- Utilizing logging and tracing capabilities within AgentCore.
- Tracking metrics for usage volume and performance.
- Hands-on task: creating observability dashboards.
Scaling and Orchestrating Multi-Agent Ecosystems
- Architectural patterns for collaborative multi-agent systems.
- Enhancing performance and ensuring reliability at scale.
- Hands-on task: orchestrating specialized agent workflows.
Governance and Regulatory Compliance
- Overview of compliance frameworks available on AWS.
- Recommended best practices for highly regulated sectors.
Wrap-up and Future Pathways
Requirements
- A foundational understanding of cloud-native AI/ML services.
- Familiarity with enterprise security protocols and observability principles.
Target Audience
- AI/ML Engineers.
- DevOps Leads.
- Solution Architects.
