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
Foundations of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Essential components of AgentCore
- Integration within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Mechanics
- Configuration of the AgentCore Runtime
- Establishing secure API connections via Gateway
- Lab: Deploying a demonstration agent
Memory Management and Stateful Agents
- Creating persistent context within agents
- Structuring workflows for long-running agent tasks
- Lab: Enabling session-based memory features
Identity, Access Control, and Security
- Implementing role-based access for AI agents
- Identity federation and integration with enterprise systems
- Lab: Setting up agent permission structures
Observability and Monitoring Strategies
- Utilizing logging and tracing features in AgentCore
- Tracking usage metrics and performance indicators
- Lab: Building observability dashboards
Scaling and Orchestration of Multi-Agent Systems
- Architectural patterns for multi-agent cooperation
- Optimizing performance and ensuring system reliability
- Lab: Orchestrating specialized agent workflows
Governance and Compliance Frameworks
- Ensuring auditability and safe large-scale rollouts
- Compliance standards supported within AWS
- Best practices for highly regulated sectors
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI/ML services
- Proficiency with AWS ecosystem tools
- Understanding of enterprise security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
