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235702776
LangGraph Engineering with Python: Building Autonomous AI Agents, Workflow Orchestration Systems, and Intelligent Automa, (Paperback)
Č. položky:
235702776
€ 32
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LangGraph Engineering with Python is the definitive technical handbook for mastering the groundbreaking framework to build autonomous AI systems.
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What Stands Out
Comprehensive Guide
This book offers an in-depth exploration of LangGraph and its applications, making it ideal for both beginners and experienced developers aiming to master autonomous AI systems.
Hands-On Projects
Includes practical projects that help readers apply concepts in real scenarios, empowering them to create effective workflow orchestration systems and intelligent automations directly after reading.
Expert Insights
Harness the knowledge of industry professionals through expert commentary and case studies, allowing readers to gain valuable perspectives on building and deploying advanced AI solutions.
Detaily produktu
- LangGraph Engineering with Python is a comprehensive, technical deep dive into modern agentic AI engineering. Written for developers, AI practitioners, and automation architects, this book demystifies LangGraph the groundbreaking framework for building deterministic, controllable, and high-performance AI agent workflows.This book guides you through a complete mastery path: from foundational graph-based reasoning patterns to advanced multi-agent coordination, persistent memory systems, event-driven tasks, and production-grade orchestration. You will learn to construct fully autonomous agents using Python, integrate structured state machines, optimize tool-calling reliability, and design scalable pipelines suitable for enterprise environments.This book goes far beyond how LangGraph works and instead teaches how to engineer real AI systems systems with predictable behavior, safe execution boundaries, robust error handling, and modular graph architectures.Whether you're building retrieval-augmented agents, workflow-aware copilots, multimodal systems, or operational AI automation engines, this guide gives you the practical patterns, best practices, and engineering blueprints necessary to deploy at scale.This is the definitive technical handbook for anyone serious about mastering LangGraph in a Python-driven ecosystem.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2025 |
| Pages | 224 |
| Subgenre | Cybernetics |
| Series title | No Series |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.47 x 10.00 Inches (17.8 x 1.2 x 25.4 cm) |
| Assembled product weight | 0.87 lb (390 grams) |
| Bisac subject heading | Computers |
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Zhao Colton All Books Editorial Review
LangGraph Engineering with Python: Building Autonomous AI Agents, Workflow Orchestration Systems, and Intelligent Automata is a non-fiction paperback that delves into the fascinating world of computing and cybernetics. Spanning 224 pages, this book, published by Amazon Digital Services LLC in November 2025, focuses on engineering concepts that enable the creation of autonomous AI agents and sophisticated workflow systems. With its emphasis on real-world applications and innovations in computing, it serves as an excellent resource for those looking to understand the complexities of intelligent automation and system orchestration. Readers will appreciate its structured approach to a challenging subject matter, making it accessible for both enthusiasts and professionals in the field.
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Pros
- Clear explanations of complex engineering concepts
- Focus on practical applications in AI
- Well-structured chapters for easy navigation
- Rich content for computing enthusiasts
- Appropriate format for both students and professionals
Zápory
- Limited release date might affect availability
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€ 32
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Funkcie a výhody
- Comprehensive guide to modern agentic AI engineering.
- Focus on building deterministic and high-performance AI workflows.
- Covers foundational graph reasoning to advanced multi-agent coordination.
- Teaches real AI system engineering with predictable behavior.
- Includes best practices for scalable enterprise-ready automation.
- Essential resource for developers and AI practitioners alike.
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