Artificial Intelligence • Interactive Module

Module 14: Multi-Agent AI Systems & Orchestration

Master multi-agent AI systems: intelligent routing, planner-executor architecture, DAG dependency scheduling, sequential & parallel workflows, blackboard shared state, conflict resolution, circuit breakers, and Agent2Agent (A2A) protocol.

Concept Overview & Direct Technical Answer

Direct Definition: Master multi-agent AI systems: intelligent routing, planner-executor architecture, DAG dependency scheduling, sequential & parallel workflows, blackboard shared state, conflict resolution, circuit breakers, and Agent2Agent (A2A) protocol.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/multi-agent-systems. Free, open curriculum for software engineers, systems practitioners, and interview candidates.