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 in enterprise environments.
- Core components of AgentCore.
- AgentCore’s position within the AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Configuring the AgentCore Runtime.
- Establishing secure API integration via Gateway.
- Practical exercise: Deploying a sample agent.
Memory and Stateful Agents
- Implementing persistent context.
- Designing workflows for long-running agents.
- 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 within AgentCore.
- Tracking metrics for usage and performance.
- Practical exercise: Building observability dashboards.
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for collaboration among multiple agents.
- Strategies for performance optimization and reliability.
- Practical exercise: Orchestrating specialized agents.
Governance and Compliance
- Ensuring auditability and safe large-scale deployment.
- 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 tools within the AWS ecosystem.
- Knowledge of enterprise security and observability principles.
Audience
- AI/ML engineers.
- DevOps leads.
- Solution architects.
14 Hours
