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
- The role of Agentic AI within enterprises.
- Core components of AgentCore.
- Positioning within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Setting up the AgentCore Runtime.
- Secure API integration via 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 control for AI agents.
- Identity federation and enterprise integration.
- Practical exercise: configuring agent permissions.
Observability and Monitoring
- Logging and tracing capabilities with AgentCore.
- Metrics for tracking usage and performance.
- Practical exercise: implementing observability dashboards.
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration.
- Performance optimization and reliability measures.
- Practical exercise: orchestrating specialized agents.
Governance and Compliance
- Auditability and safe large-scale rollout strategies.
- Compliance frameworks supported by AWS.
- Best practices for regulated industries.
Summary and Next Steps
Requirements
- A foundational understanding of cloud-based AI/ML services.
- Practical experience with AWS ecosystem tools.
- Knowledge of enterprise security and observability principles.
Target Audience
- AI/ML engineers.
- DevOps leads.
- Solution architects.
14 Hours
