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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