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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of Agentic AI in enterprise settings
- Fundamental components of AgentCore
- Integration within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Management
- Configuring the AgentCore Runtime
- Secure API integration via Gateway
- Practical task: Deploying a sample agent
Memory and Stateful Agent Design
- Implementing persistent context management
- Creating long-running agent workflows
- Practical task: Activating session-based memory
Identity, Permissions, and Security Protocols
- Role-based access control for AI agents
- Identity federation and enterprise-level integration
- Practical task: Configuring agent permissions
Observability and Monitoring Strategies
- Logging and tracing capabilities in AgentCore
- Tracking usage and performance metrics
- Practical task: Building observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for multi-agent collaboration
- Optimising performance and ensuring reliability
- Practical task: Orchestrating specialized agents
Governance and Compliance Frameworks
- Ensuring auditability and safe rollout at scale
- Compliance frameworks supported within AWS
- Best practices for regulated industries
Summary and Future Roadmap
Requirements
- Familiarity with cloud-based AI/ML services
- Experience working with AWS ecosystem tools
- Understanding of enterprise security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leads
- Solution Architects
