Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundational Concepts: AgentCore and Agentic AI
- The role of Agentic AI in enterprise environments
- Essential components of the AgentCore platform
- Integration within the broader AWS Bedrock ecosystem
AgentCore Runtime and Gateway Mechanics
- Initializing and configuring the AgentCore Runtime
- Implementing secure API connections via Gateway
- Lab: Deploying a representative agent instance
Memory Management and Stateful Agents
- Establishing persistent contextual memory
- Structuring workflows for long-duration agent tasks
- Lab: Activating session-based memory features
Security, Identity, and Access Control
- Assigning role-based permissions to AI agents
- Managing identity federation and enterprise integrations
- Lab: Defining and configuring agent access rights
Monitoring and Observability Practices
- Utilizing logging and tracing features in AgentCore
- Tracking metrics for usage trends and system performance
- Lab: Constructing observability dashboards
Orchestration and Scaling Multi-Agent Systems
- Applying design patterns for multi-agent cooperation
- Optimizing performance and ensuring system reliability
- Lab: Orchestrating a network of specialized agents
Regulatory Compliance and Governance
- Ensuring auditability and safe large-scale deployment
- Adhering to compliance frameworks available on AWS
- Implementing best practices for highly regulated sectors
Conclusions and Future Directions
Requirements
- Familiarity with cloud-based AI/ML service platforms
- Practical experience utilizing tools within the AWS ecosystem
- Foundational knowledge of enterprise security frameworks and observability principles
Target Audience
- AI/ML engineers
- DevOps leaders
- Solution architects
