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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI
- The role of agentic AI in enterprise environments
- Fundamental elements of AgentCore
- Integration within the AWS Bedrock ecosystem
AgentCore Runtime and Gateway Management
- Initializing the AgentCore Runtime
- Establishing secure API connections via Gateway
- Exercise: Launching a demo agent
Memory Management and Stateful Agents
- Creating persistent context windows
- Structuring extended agent workflows
- Exercise: Activating session-based memory
Identity, Access Control, and Security
- Assigning role-based permissions to AI agents
- Implementing identity federation and enterprise linkages
- Exercise: Setting up agent access rights
Monitoring and Observability Strategies
- Utilizing AgentCore for logging and trace analysis
- Tracking usage metrics and performance indicators
- Exercise: Building observability dashboards
Orchestration and Scaling of Multi-Agent Systems
- Patterns for coordinated multi-agent work
- Optimizing performance and ensuring reliability
- Exercise: Managing specialized agent orchestration
Governance and Regulatory Compliance
- Ensuring auditability and safe large-scale deployment
- Adhering to AWS-supported compliance standards
- Best practices for highly regulated sectors
Conclusion and Future Directions
Requirements
- Familiarity with cloud-based AI/ML services
- Hands-on experience with the AWS ecosystem
- Foundational knowledge of enterprise security and observability principles
Target Audience
- AI/ML Engineers
- DevOps Leaders
- Solution Architects
