Next-Gen Multi-Agent Systems Using Amazon Bedrock AgentCore Training Course

Foundations of Multi-Agent Systems

• Defining multi-agent systems within the broader AI ecosystem.
• Evaluating core benefits and inherent challenges.
• Reviewing enterprise use cases and real-world applications.

Leveraging AgentCore for Orchestration

• Examining AgentCore's orchestration architecture.
• Coordinating multiple agents across diverse workflows.
• Practical exercise: Managing basic agent interactions.

Models for Collaboration and Communication

• Exploring message passing and shared memory patterns.
• Strategies for negotiation and task distribution.
• Practical exercise: Building agent collaboration protocols.

Agent Specialization and Role Definition

• Crafting specialized agents for distinct operational tasks.
• Striking a balance between agent autonomy and system coordination.
• Practical exercise: Developing role-specific agent profiles.

Scaling Multi-Agent Architectures

• Addressing architectural needs for enterprise-scale deployment.
• Implementing performance monitoring and load balancing techniques.
• Practical exercise: Expanding the capacity of an orchestrated agent network.

Governance, Security, and Regulatory Compliance

• Ensuring auditability and observability in multi-agent workflows.
• Configuring permission structures and security frameworks.
• Case study: Navigating compliance requirements in regulated sectors.

Future Trajectories in Multi-Agent AI

• Current trends in autonomous collaboration models.
• Emerging research in collective agent behavior.
• Strategic considerations for enterprise integration.

Conclusion and Path Forward