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
Foundations of Multi-Agent Systems
- Defining multi-agent systems within the broader AI landscape
- Key advantages and inherent challenges
- Relevant enterprise scenarios and use cases
AgentCore in Multi-Agent Coordination
- Understanding the AgentCore orchestration framework
- Overseeing multiple agents across diverse workflows
- Practical exercise: orchestrating basic agent interactions
Models for Collaboration and Communication
- Techniques for message passing and shared memory structures
- Strategies for negotiation and task distribution
- Practical exercise: building agent collaboration protocols
Specialization and Role Definition
- Crafting specialized agents for distinct functional areas
- Striking a balance between agent autonomy and system coordination
- Practical exercise: developing role-specific agents
Scaling Multi-Agent Environments
- Architectural best practices for enterprise-level scaling
- Performance tracking and load distribution techniques
- Practical exercise: expanding an orchestrated agent network
Governance, Security, and Compliance
- Ensuring auditability and observability in multi-agent workflows
- Implementing permissioning and security architectures
- Case study: maintaining compliance in regulated industries
Future Trends in Multi-Agent AI
- Current trends toward autonomous collaboration
- Emerging research on agent collectives
- Strategic impact on enterprise adoption of multi-agent tech
Recap and Path Forward
Requirements
- Solid grasp of AI and machine learning system dynamics
- Proven experience in designing distributed systems
- Knowledge of AWS services and cloud-native architectures
Target Audience
- System architects
- AI researchers
- Enterprise strategic teams
