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Course Outline

Overview of AgentCore and Agentic AI Technologies

  • Deployment of agentic AI within enterprise environments for government
  • Key architectural components of AgentCore
  • Integration with the AWS Bedrock framework

AgentCore Runtime and Gateway Infrastructure

  • Configuration and initialization of the AgentCore Runtime
  • Secure API connectivity via the Gateway
  • Hands-on activity: deployment of a reference agent

Memory Management and Stateful Operations

  • Implementation of persistent context mechanisms
  • Architecture for long-duration agent workflows
  • Hands-on activity: configuration of session-based memory

Identity Management, Permissions, and Security Controls

  • Role-based access control for AI agents in government contexts
  • Identity federation and integration with enterprise systems
  • Hands-on activity: configuration of agent authorization policies

Observability and Monitoring Capabilities

  • Logging and distributed tracing using AgentCore
  • Performance metrics and usage analytics
  • Hands-on activity: development of observability dashboards

Scaling and Orchestration of Multi-Agent Systems

  • Design patterns for collaborative multi-agent operations
  • Strategies for performance optimization and system reliability
  • Hands-on activity: orchestration of specialized agent networks

Governance, Auditability, and Compliance

  • Audit trails and strategies for scaled deployment
  • Adherence to AWS compliance frameworks for government use
  • Best practices for regulated industry requirements

Summary and Future Directions

Requirements

  • Familiarity with cloud-based artificial intelligence and machine learning platforms
  • Proficiency in AWS ecosystem utilities and services
  • Competence in enterprise security protocols and observability frameworks

Audience

  • Artificial intelligence and machine learning engineers
  • Lead DevOps professionals
  • Solution architects
 14 Hours

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