Advanced AI Agents

Building Enterprise Multi-Agent Systems

The definitive engineering guide to enterprise-grade multi-agent systems. From agent network topologies and inter-agent communication protocols to distributed state, enterprise integrations, zero-trust security, Kubernetes-native deployment, and production observability. Covers AutoGen, CrewAI, LangGraph, Kafka, and the full 2025–2026 enterprise AI stack.

30 Modules
4.3h Duration
Text + Code Format
Free Cost
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Prerequisites
  • Python proficiency (async/await, type hints, dataclasses)
  • Experience building single AI agents (LangGraph or similar)
  • Familiarity with Docker, REST APIs, and basic Kubernetes concepts
  • Understanding of message queues or event-driven architecture basics

What you'll learn

  • Design enterprise agent network topologies: supervisor, mesh, hierarchical, and event-driven
  • Implement inter-agent communication with Kafka, Redis Streams, and async message passing
  • Build distributed state management with PostgreSQL, Redis, and conflict resolution strategies
  • Integrate agents with enterprise systems: Salesforce, SAP, data warehouses, and custom MCP servers
  • Apply zero-trust security, RBAC, audit trails, and compliance controls to agent networks
  • Engineer fault-tolerant agents with circuit breakers, distributed checkpointing, and chaos testing
  • Deploy agent fleets on Kubernetes with HPA, KEDA, and multi-region routing
  • Operate enterprise agent platforms with distributed tracing, SLA management, and cost chargeback

Course Curriculum

30 modules · 4.3 hours total

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