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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI Capabilities
- Integration of Agentic AI within enterprise infrastructure
- Fundamental components of the AgentCore platform
- Strategic alignment with the AWS Bedrock ecosystem
AgentCore Runtime Environment and Gateway Services
- Configuration and provisioning of the AgentCore Runtime
- Establishing secure API connectivity via Gateway
- Applied scenario: execution of a representative agent deployment
Memory Management and Stateful Agent Operations
- Implementation of persistent context for agent interactions
- Architecting workflows for extended-duration agent tasks
- Applied scenario: activation of session-based memory structures
Identity Management, Access Control, and Security Protocols
- Role-based access controls specific to AI agent entities
- Identity federation strategies and enterprise system integration
- Applied scenario: configuration of granular agent permissions
Observability Frameworks and System Monitoring
- Logging and tracing mechanisms within AgentCore
- Metrics for utilization tracking and performance analysis
- Applied scenario: development of observability dashboards
Scalability Strategies and Multi-Agent Orchestration
- Architectural patterns for collaborative multi-agent systems
- Optimization of performance and system reliability
- Applied scenario: coordination of specialized agent functions
Governance Structures and Regulatory Compliance
- Audit trails and secure deployment at scale
- Compliance frameworks aligned with AWS standards
- Best practices for operationalizing AI in regulated sectors
Summary of Key Concepts and Future Implementation Pathways
Requirements
- Proficiency in cloud-based AI/ML services
- Experience with AWS ecosystem tools and services
- Familiarity with enterprise security protocols and observability principles
Target Audience
- AI/ML engineers
- DevOps leaders
- Solution architects