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Mastering AI Development with LangGraph and LangChainkuh
Paperback
Publisher: Independently Published
Published: Aug 31 2025
Pages: 264
Weight: 0.79
Height: 0.55 Width: 6.00 Depth: 9.00
Language: English
3. Focus on LangGraph: Go beyond simple sequential chains. This book provides in-depth coverage of LangGraph, the future of building agentic and cyclical AI applications with state management.
4. Real-World Use Cases: Concepts are explained through relatable, real-world examples, such as building advanced RAG pipelines, customer support bots, and multi-agent research teams.
5. Complete Capstone Project: The final chapter guides you through building a complete, working AI application from scratch, including full code and a detailed, step-by-step implementation guide.
6. Clear and Simple Language: Complex topics are broken down into simple, easy-to-understand explanations, ensuring a smooth learning experience for all readers. Who Should Read This Book? 1. B.Tech and M.Tech students in Computer Science, AI, and related fields.
2. Software developers and engineers looking to integrate AI and LLMs into their applications.
3. AI and Machine Learning practitioners who want to master modern LLM application frameworks.
4. Aspiring AI developers who want a structured, practical path to building a strong portfolio.
5. Product managers and tech leads who want to understand the capabilities of next-generation AI systems. By the end of this book, you will not just be a user of AI tools; you will be an architect of intelligent systems, capable of designing and building the dynamic, responsive, and powerful AI applications of tomorrow.
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