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 within the enterprise.
- Fundamental components of AgentCore.
- The place of AgentCore within the broader AWS Bedrock ecosystem.
AgentCore Runtime and Gateway
- Configuration and setup of the AgentCore Runtime.
- Establishing secure API integrations via Gateway.
- Practical exercise: deploying a sample agent.
Memory and Stateful Agents
- Creating persistent context for agents.
- Structuring long-running agent workflows.
- Practical exercise: implementing session-based memory.
Identity, Permissions, and Security
- Applying role-based access controls to AI agents.
- Managing identity federation and enterprise integrations.
- Practical exercise: setting up agent permissions.
Observability and Monitoring
- Utilizing logging and tracing capabilities in AgentCore.
- Tracking metrics for usage and performance.
- Practical exercise: building observability dashboards.
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration.
- Enhancing performance optimization and reliability.
- Practical exercise: orchestrating specialized agents.
Governance and Compliance
- Ensuring auditability and secure rollouts at scale.
- Reviewing compliance frameworks supported by AWS.
- Applying best practices in regulated industries.
Summary and Next Steps
Requirements
- Familiarity with cloud-based AI and ML services.
- Practical experience with the AWS ecosystem and its associated tools.
- A solid grasp of enterprise security and observability principles.
Target Audience
- AI/ML engineers.
- DevOps leaders.
- Solution architects.
