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
Introduction to AgentCore and the Concept of Agentic AI
- The role of Agentic AI within enterprise environments
- Key components that make up AgentCore
- How AgentCore fits into the broader AWS Bedrock ecosystem
Working with AgentCore Runtime and Gateway
- Initial setup and configuration of the AgentCore Runtime
- Achieving secure API integration through the Gateway
- Lab: Deploying a sample agent in practice
Managing Memory and Stateful Agents
- Techniques for implementing persistent context
- Designing workflows for long-running agent processes
- Lab: Enabling session-based memory capabilities
Securing Identity, Permissions, and Access
- Implementing role-based access controls for AI agents
- Handling identity federation and enterprise-level integrations
- Lab: Configuring specific agent permissions
Enhancing Observability and Monitoring
- Utilizing logging and tracing features in AgentCore
- Tracking key metrics for usage and performance
- Lab: Building custom observability dashboards
Scaling and Orchestrating Multi-Agent Systems
- Design patterns for effective multi-agent collaboration
- Strategies for performance optimization and ensuring reliability
- Lab: Orchestrating specialized agents for complex tasks
Ensuring Governance and Compliance
- Maintaining auditability and managing safe rollouts at scale
- Overview of compliance frameworks supported within AWS
- Best practices for operating in regulated industries
Course Conclusion and Recommended Next Steps
Requirements
- A solid grasp of cloud-native AI and ML services
- Prior experience navigating the AWS ecosystem and its tools
- Familiarity with enterprise-level security and observability principles
Target Audience
- AI and ML Engineers
- DevOps Leaders
- Solution Architects
