January 2026
Intermediate to advanced
568 pages
16h 57m
English
book
Agentic Architectural Patterns for Building Multi-Agent Systems
by Dr. Ali Arsanjani, Juan Pablo Bustos
Content preview from Agentic Architectural Patterns for Building Multi-Agent Systems
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11
Advanced Adaptation: Building Agents That Learn
In the preceding chapters, we laid the foundation for building robust, scalable, and secure agentic systems both individually and at a holistic system level. We designed agents that can coordinate, follow instructions, and interact safely with humans and external systems. We have, in essence, built highly capable and reliable automated workers and housed them in the context of the overall system architecture they will need to live within.
However, the true promise of agentic AI is its ability to adapt through learning. While most current enterprise deployments rely on static models to ensure predictability and control costs, a learning agent represents a dynamic entity that can adapt to new ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.