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Duration 14 hours
Course Outline
Foundations of AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Essential components of AgentCore
- Integration within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Mechanics
- Configuring the AgentCore Runtime
- Secure API integration via Gateway
- Practical task: Deploying a sample agent
Memory and Stateful Agent Design
- Implementing persistent context
- Architecting long-running agent workflows
- Practical task: Enabling session-based memory
Identity, Permissions, and Security Protocols
- Role-based access control for AI agents
- Identity federation and enterprise integration strategies
- Practical task: Configuring agent permissions
Observability and Monitoring Practices
- Logging and tracing capabilities in AgentCore
- Tracking usage and performance metrics
- Practical task: Creating observability dashboards
Scaling and Orchestration of Multi-Agent Systems
- Design patterns for multi-agent collaboration
- Optimizing performance and ensuring reliability
- Practical task: Orchestrating specialized agents
Governance and Compliance Standards
- Ensuring auditability and safe large-scale rollouts
- Compliance frameworks available in AWS
- Best practices for highly 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
