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Duration 14 hours
Course Outline
Overview of AgentCore and Agentic AI Concepts
- The role of Agentic AI in enterprise environments.
- How AgentCore integrates within the broader AWS Bedrock ecosystem.
AgentCore Runtime and Gateway Mechanics
- Configuring and setting up the AgentCore Runtime.
Memory Management and Stateful Agent Design
- Building workflows for agents that operate over extended periods.
- Practical task: activating session-based memory features.
Identity, Permissions, and Security Protocols
- Integrating identity federation with enterprise systems.
- Practical task: configuring specific agent permissions.
Observability Strategies and Monitoring
- Utilizing AgentCore for logging and tracing activities.
Expanding and Orchestrating Multi-Agent Architectures
- Enhancing performance and ensuring system reliability.
- Practical task: managing the orchestration of specialized agents.
Governance Standards and Compliance
- Recommended best practices for sectors with strict regulatory requirements.
Course Summary and Future Directions
Requirements
- Familiarity with cloud-based AI and ML services.
- Proficiency with tools within the AWS ecosystem.
- Solid grasp of enterprise security standards and observability principles.
Target Learners
- AI and ML engineers.
- DevOps team leads.
- Solution architects.
