Agentic AI Solution Communication Architectures

Explore agentic AI as you learn the roles of AI agents and how they efficiently manage data flow using state data communication and messaging fabric platforms.
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.
This course was created by Thomas Erl. We are pleased to host this training in our library.
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