"Build AI Agents with LangChain & LangGraph" is your hands-on roadmap to mastering the cutting-edge frameworks that power the next generation of AI applications. Discover how to create dynamic LLM workflows capable of tool use, memory, and self-correction.

Who This Book Is For:

• Python Developers eager to integrate advanced Large Language Models into their projects.
• Machine Learning Engineers seeking practical strategies for AI agent orchestration.
• Anyone ready to build production-ready, intelligent chatbots and automated systems.

• Master LangChain & LangGraph Fundamentals: Design robust LLM workflows with nodes, edges, and state management.
• Integrate Powerful Tools: Enable your AI agents to interact with external APIs, perform web browsing, and execute code.
• Build Real-World AI Applications: Dive into practical case studies, including an Autonomous Research Agent and a Smart Customer Support Co-pilot.
• Navigate Ethical AI: Implement crucial safeguards for ethical AI, privacy, security, and human oversight.
• Deploy with Confidence: Learn full-stack integration, API exposure, and debugging techniques for seamless deployment.
• Optimize for Performance: Strategies for efficient AI development and cost-effective LLM workflows.