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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of agentic AI in enterprise environments
- Essential components of the AgentCore architecture
- The place of AgentCore within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Integration
- Configuring the AgentCore Runtime environment
- Establishing secure API integrations via Gateway
- Hands-on exercise: deploying a reference agent
Memory Management and Stateful Agents
- Establishing persistent context for agents
- Engineering workflows for long-running agent operations
- Hands-on exercise: activating session-based memory
Identity, Access Control, and Security
- Implementing role-based access for AI agents
- Managing identity federation and enterprise system integration
- Hands-on exercise: setting agent permissions
Observability and Performance Monitoring
- Utilizing logging and tracing features in AgentCore
- Tracking usage and performance metrics
- Hands-on exercise: building observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Architectural patterns for multi-agent collaboration
- Strategies for performance optimization and reliability
- Hands-on exercise: orchestrating specialized agents
Governance and Regulatory Compliance
- Ensuring auditability and safe large-scale rollouts
- Understanding compliance frameworks available in AWS
- Best practices for highly regulated industries
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services
- Proficiency with the AWS ecosystem and its tools
- Conceptual knowledge of enterprise security and observability frameworks
Target Audience
- AI and ML engineers
- DevOps leads
- Solution architects
