Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph amzn.to/3Z5c0EN What you will learn: - Design and implement multi-agent systems using LangGraph - Implement testing strategies that identify issues before deployment - Deploy observability and monitoring solutions for production environments - Build agentic RAG systems with re-ranking capabilities - Architect scalable, production-ready AI agents using LangGraph and MCP - Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini - Design secure, compliant AI systems aligned with modern ethical practices #AI #LangChain #LLM #Python #LangGraph

@Python_Dv Impressed by the depth of this second edition. A must-read for anyone serious about building scalable, production-grade LLM apps with LangChain, LangGraph, and modern AI tools.

@Python_Dv Great find LangChain and LandGraph are game changers for AI development

@Python_Dv Solid guide! Thanks for sharing have picked up my copy.

@Python_Dv Sounds like an exciting opportunity to dive into AI! Can't wait to see what amazing projects come out of this.

@Python_Dv Exploring robust AI solutions with consistent performance depends on production-ready tools like LangChain and LangGraph in Python.