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Duration 14 hours
Course Outline
Introduction to AgentCore and Agentic AI
- The role of Agentic AI in the enterprise sector
- Fundamental components of AgentCore
- AgentCore’s place within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway
- Initializing the AgentCore Runtime
- Securing API integrations via Gateway
- Practical exercise: deploying a sample agent
Memory and Stateful Agents
- Establishing persistent context
- Structuring long-duration agent workflows
- Practical exercise: activating session-based memory
Identity, Permissions, and Security
- Implementing role-based access for AI agents
- Identity federation and enterprise-level integration
- Practical exercise: setting up agent permissions
Observability and Monitoring
- Logging and tracing capabilities in AgentCore
- Metrics for tracking usage and performance
- Practical exercise: creating observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for collaborative multi-agent systems
- Optimizing performance and ensuring reliability
- Practical exercise: orchestrating specialized agents
Governance and Compliance
- Ensuring auditability and safe large-scale rollout
- Compliance frameworks supported within AWS
- Best practices for heavily regulated industries
Conclusion and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services
- Proficiency with tools within the AWS ecosystem
- Understanding of enterprise security and observability principles
Target Audience
- AI/ML engineers
- DevOps leads
- Solution architects