Generative AI with LangChain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
Created by Ben Auffarth, Leonid Kuligin
Explore how to move from AI prototypes to production-ready applications using Python, LangChain, and LangGraph. Learn to design advanced agentic systems, implement robust RAG pipelines, and ensure your solutions are secure and scalable for real-world deployment.
Packt | May 2025 | 484 min
What You Will Learn
You will work through practical, real-world examples that mirror the challenges faced in enterprise AI development. Each concept is reinforced with complete code walkthroughs and collaborative design patterns, helping you build scalable, reliable, and secure LLM applications from the ground up.
Key Features
- Design and build multi-agent systems using LangGraph for complex workflows
- Implement robust testing and monitoring to ensure reliability in production
- Apply advanced RAG techniques to improve accuracy and output quality
Target Audience
Ideal for developers and technical teams with Python experience who want to deploy LLM solutions at scale. If you are working on enterprise AI projects or need to architect robust, compliant agentic systems, you will gain actionable skills and patterns to move confidently from prototype to production.
