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
- Characterizing multi-agent systems within the broader AI landscape
- Key advantages and associated complexities
- Real-world enterprise applications and scenarios
Leveraging AgentCore for Orchestration
- Architectural components of AgentCore orchestration
- Coordinating multiple agents across diverse workflows
- Workshop: Managing basic agent interactions
Models for Collaboration and Communication
- Patterns for message transmission and shared memory usage
- Strategies for negotiation and efficient task distribution
- Workshop: Building effective agent collaboration frameworks
Agent Specialization and Role Definition
- Crafting specialized agents for distinct functional requirements
- Maintaining a balance between individual autonomy and collective coordination
- Workshop: Developing role-specific agent profiles
Scalability in Multi-Agent Environments
- Architectural requirements for enterprise-level expansion
- Techniques for performance tracking and load distribution
- Workshop: Scaling an orchestrated agent architecture
Governance, Security, and Compliance Frameworks
- Ensuring auditability and observability in multi-agent processes
- Implementing permission structures and security protocols
- Case analysis: Meeting compliance standards in regulated sectors
Trajectories in Multi-Agent AI
- Evolving trends in autonomous cooperative behaviors
- New developments in agent collective research
- Strategic impact on enterprise integration and adoption
Conclusions and Pathways Forward
Requirements
- Solid comprehension of AI and machine learning architectures
- Practical experience in designing distributed systems
- Working knowledge of AWS services and cloud-native environments
Intended Audience
- System architects
- AI research professionals
- Corporate strategy teams
