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.
Course Outline
Introduction to Multi-Agent Systems
- Defining multi-agent systems within the AI ecosystem
- Key benefits and challenges
- Enterprise use cases and applications
AgentCore for Multi-Agent Orchestration
- Understanding the AgentCore orchestration architecture
- Managing multiple agents across various workflows
- Hands-on lab: Orchestrating simple agent interactions
Collaboration and Communication Models
- Message passing and shared memory patterns
- Strategies for negotiation and task allocation
- Hands-on lab: Implementing agent collaboration protocols
Specialization and Role Assignment
- Designing specialized agents tailored for specific tasks
- Balancing autonomy with necessary coordination
- Hands-on lab: Creating role-specific agents
Scaling Multi-Agent Systems
- Architectural considerations for enterprise-scale deployments
- Performance monitoring and load balancing techniques
- Hands-on lab: Scaling an orchestrated agent system
Governance, Security, and Compliance
- Auditability and observability for multi-agent workflows
- Permissioning and security models
- Case study: Ensuring compliance in regulated environments
Future Directions in Multi-Agent AI
- Trends in autonomous collaboration
- Emerging research in agent collectives
- Strategic implications for enterprise adoption
Summary and Next Steps
Requirements
- Comprehensive understanding of AI and machine learning systems
- Experience in distributed system design
- Familiarity with AWS services and cloud-based architectures
Target Audience
- System architects
- AI researchers
- Enterprise strategy teams
14 Hours
