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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Essential elements of AgentCore
- Placement within the broader AWS Bedrock ecosystem
AgentCore Runtime and Gateway Mechanics
- Configuring the AgentCore Runtime
- Integrating secure APIs through the Gateway
- Hands-on task: deploying a prototype agent
Memory and Stateful Agent Design
- Implementing persistent context management
- Creating workflows for long-running agents
- Hands-on task: activating session-based memory
Identity, Access Control, and Security
- Role-based access strategies for AI agents
- Identity federation and enterprise system integration
- Hands-on task: setting up agent permissions
Observability and System Monitoring
- Logging and tracing techniques in AgentCore
- Utilizing metrics for usage tracking and performance analysis
- Hands-on task: creating observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Architectural patterns for multi-agent collaboration
- Strategies for performance optimization and reliability
- Hands-on task: orchestrating specialized agent teams
Governance and Regulatory Compliance
- Ensuring auditability and safe large-scale rollouts
- Compliance frameworks available within AWS
- Best practices for highly regulated industries
Recap and Future Directions
Requirements
- Proficiency in cloud-based AI and ML services
- Familiarity with tools within the AWS ecosystem
- Understanding of enterprise-level security and observability principles
Target Audience
- AI and ML engineers
- DevOps leaders
- Solution architects
