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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- Agentic AI applications in the enterprise
- Essential components of AgentCore
- Role 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 workflows for long-running agents
- 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
- Usage and performance metrics
- Practical exercise: Creating observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration
- Performance optimization and reliability strategies
- Practical exercise: Orchestrating specialized agents
Governance and Compliance
- Auditability and safe large-scale rollouts
- Compliance frameworks supported by AWS
- Best practices for regulated industries
Recap and Future Directions
Requirements
- Familiarity with cloud-based AI/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
