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 the Landscape of Agentic AI
- The role of Agentic AI in enterprise environments
- Placement of AgentCore within the broader AWS Bedrock ecosystem
AgentCore Runtime and Gateway Mechanisms
- Configuring the AgentCore Runtime environment
- Achieving secure API integration through the Gateway
- Hands-on task: deploying a prototype agent
Memory Management and Stateful Agent Design
- Creating persistent context for agents
- Structuring long-duration agent workflows
- Hands-on task: activating session-based memory features
Identity, Access Control, and Security Protocols
- Implementing role-based access strategies for AI agents
- Managing identity federation and enterprise system integration
- Hands-on task: setting up agent permission structures
Observability and System Monitoring
- Utilizing logging and tracing features in AgentCore
- Tracking metrics for usage patterns and performance
- Hands-on task: building comprehensive observability dashboards
Scaling and Orchestrating Multi-Agent Architectures
- Application of design patterns for multi-agent cooperation
- Enhancing performance optimization and system reliability
- Hands-on task: coordinating specialized agent roles
Governance and Regulatory Compliance
- Ensuring auditability and safe large-scale rollouts
- Overview of compliance frameworks integrated within AWS
- Recommended best practices for heavily regulated sectors
Course Wrap-up and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services
- Hands-on experience with the AWS ecosystem and its tools
- Proficiency in enterprise security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
