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Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems Dr. Ali Arsanjani, Juan Pablo Bustos

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems Dr. Ali Arsanjani, Juan Pablo Bustos - okladka książki

Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems Dr. Ali Arsanjani, Juan Pablo Bustos - okladka książki

Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems Dr. Ali Arsanjani, Juan Pablo Bustos - audiobook MP3

Agentic Architectural Patterns for Building Multi-Agent Systems. Proven design patterns & practices for GenAI, Agents, RAG, LLMOps & enterprise-scale AI systems Dr. Ali Arsanjani, Juan Pablo Bustos - audiobook CD

Autorzy:
Dr. Ali Arsanjani, Juan Pablo Bustos
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Generative AI has moved beyond the hype, enterprises now face the challenge of turning prototypes into scalable solutions. This book is your guide to building intelligent agents powered by LLMs. Start with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics like model selection & LLM deployment, progress to advanced methods such as Retrieval Augmented Generation, fine-tuning, in-context learning, and LLMOps especially in the context of Agentic AI. You'll explore a rich library of agentic AI design patterns to address coordination, explainability, fault tolerance, and human-agent interaction. This book introduces a concrete, hierarchical multi-agent architecture where high-level Orchestrator agents manage complex business workflows by delegating entire sub-processes to specialized agents. You will learn how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol. To ensure your systems are production-ready, we provide a practical framework for observability using lifecycle callbacks, giving you the granular traceability needed for debugging, compliance, and cost management. Each pattern is backed by real-world scenarios and code examples using the open source Agent Development Kit (ADK)

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O autorach książki

Dr. Ali Arsanjani is the Director Applied AI Engineering at Google Cloud, and Head of GenAI Blackbelts and AI Center of Excellence, within the Google Cloud Product Engineering organization.Ali leads strategic pursuits for Cloud AI Partners and is the program manager for Google Cloud co-innovation and co-engineering programs that focus on adoption of Google AI for customers & partners through thought leadership, engagement, enablement and execution. Google's earliest adopters of GenAI have partnered closely with Dr.Arsanjani and his team on their use cases and adoption. He leads Generative and Agentic AI initiatives that enable customers and partners with the best-practices and tools that bring the capabilities of the Google Cloud AI platform to solve tactical and strategic challenges through best-practices and assets and achieving strong partnerships through strategic product co-innovation. Ali is an Adjunct Professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the Masters in Data program and the Data Science Institute, respectively. Prior to Google, Dr.Arsanjani was a Chief Principal Architect and WW Tech Lead at AWS, and previously CTO, Distinguished Engineer, Analytics and Machine Learning at IBM.
Juan Pablo Bustos is a seasoned technologist with over 20 years of experience in driving innovation and delivering impactful solutions across diverse industries. Juan brings expertise in solution architecture, product incubation, and integration, coupled with expertise in cloud computing, AI, and machine learning.

Packt Publishing - inne książki

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