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LangChain & LangGraph Mastery: Build Scalable, Real-World AI Agents and LLM Apps with Python
Paperback
Publisher: Independently Published
Published: Jul 22 2025
Pages: 116
Weight: 0.38
Height: 0.24 Width: 6.14 Depth: 9.21
Language: English
LangChain & LangGraph Mastery
Build Scalable, Real-World AI Agents and LLM Apps with Python
Unlock the full potential of AI development with the only guide you'll ever need to master LangChain, LangGraph, and Large Language Model (LLM) applications-built entirely in Python.
This isn't just another theory-heavy book. It's a practical, hands-on blueprint for developers, engineers, and AI enthusiasts who want to move from zero to building production-grade AI agents that solve real-world problems.
Inside this comprehensive guide, you'll learn how to design powerful, scalable systems that go beyond simple chatbots. From chaining language models using LangChain to building dynamic, memory-aware agents with LangGraph, you'll gain the skills top AI developers are using to deploy next-generation apps on the cloud.
You'll discover how to:
- Integrate tools like vector stores, APIs, and memory with LangChain
- Use LangGraph to create branching, looping, and reactive workflows
- Design agents that plan, reason, and act intelligently-on their own
- Optimize for cost, latency, and reliability in real-world applications
- Deploy and scale your projects with production-ready patterns
Whether you're building intelligent assistants, autonomous workflows, or domain-specific expert systems, this book will show you how to architect AI solutions that are modular, maintainable, and scalable-from prototype to deployment.
Packed with real code examples, practical use cases, and clear explanations, this book takes you deep into what's working right now in the world of AI application design.
If you're serious about becoming a sought-after AI developer or want to future-proof your skillset in an exploding field-this is the book that will get you there.
Start building. Start scaling. Start mastering LangChain and LangGraph today.
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