Agentic AI Solution Communication Architectures
55mIntermediate2025-08-20
Authors

Thomas Erl
Course details
In this course, Thomas Erl—an AI and technology education specialist—dives into agentic AI communication architectures, including asynchronous messaging, event-driven communication, and batch processing. Explore how AI agents work with microservices and how synchronous communication is managed in agentic AI. Learn about state data communication and the role of messaging fabric platforms in these architectures. Delve into message queues and event hubs, using sample scenarios for practical insights. Find out how batch processing is orchestrated within AI systems, with a focus on queue management. Discover how mastering communication architectures can lead to more efficient and intelligent AI solutions. This course enables you to build a comprehensive understanding of communication strategies in agentic AI applications.
Skills covered
Software ArchitectureAI Agents and Agentic SystemsBuilding with AINetwork AdministrationNetwork and System AdministrationSoftware DevelopmentOne-Off
Concepts
Introduction
- Introduction
- What you need to know
Agentic AI Communication Basics
- AI agents with microservices
- Synchronous communication in agentic AI
- State data communication in agentic AI
- Messaging fabric platforms
- AI agent roles
Asynchronous Messaging Communication with Agentic AI
- Asynchronous messaging architecture for agentic AI
- Inside the message queue
- Asynchronous communication with agentic AI sample scenario
Event-Driven Communication with Agentic AI
- Event-driven architecture for agentic AI
- Inside the event hub
- Event-driven communication with agentic AI sample scenario
Batch Processing with Agentic AI
- Batch processing architecture with agentic AI
- Inside the batch queue
- Batch processing with agentic AI sample scenario
Conclusion
- Next steps