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.
Course Outline
Introduction to AgentCore and Agentic AI
- Agentic AI in the enterprise.
- Core components of AgentCore.
- Positioning within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Setting up the AgentCore Runtime.
- Secure API integration with Gateway.
- Practical exercise: deploying a sample agent.
Memory and Stateful Agents
- Implementing persistent context.
- Designing long-running agent workflows.
- Practical exercise: enabling session-based memory.
Identity, Permissions, and Security
- Role-based access for AI agents.
- Identity federation and enterprise integration.
- Practical exercise: configuring agent permissions.
Observability and Monitoring
- Logging and tracing with AgentCore.
- Metrics for usage and performance.
- Practical exercise: implementing observability dashboards.
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration.
- Performance optimization and reliability.
- Practical exercise: orchestration of specialized agents.
Governance and Compliance
- Auditability and safe rollout at scale.
- Compliance frameworks supported in AWS.
- Best practices for regulated industries.
Summary and Next Steps
Requirements
- Understanding of cloud-based AI/ML services.
- Experience with AWS ecosystem tools.
- Knowledge of enterprise security and observability concepts.
Audience
- AI/ML engineers.
- DevOps leads.
- Solution architects.
14 Hours
