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Duration 14 hours
Course Outline
Introduction to 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
- Configuring the AgentCore Runtime
- Secure API integration via Gateway
- Practical exercise: deploying a sample agent
Memory and Stateful Agents
- Implementing persistent context
- Designing long-running agent workflows
- Practical exercise: enabling session-based memory
Identity, Permissions, and Security
- Role-based access control for AI agents
- Identity federation and enterprise integration
- Practical exercise: configuring agent permissions
Observability and Monitoring
- Logging and tracing capabilities in AgentCore
- Metrics for usage and performance tracking
- Practical exercise: implementing observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration
- Performance optimization and reliability strategies
- Practical exercise: orchestration of specialized agents
Governance and Compliance
- Ensuring auditability and safe large-scale rollout
- Compliance frameworks supported by AWS
- Best practices for regulated industries
Summary and Next Steps
Requirements
- Proficiency in cloud-based AI/ML services
- Familiarity with the AWS ecosystem and its tools
- Understanding of enterprise security and observability principles
Target Audience
- AI/ML engineers
- DevOps leads
- Solution architects
