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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

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