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Self-paced online

Mastering LangChain

Build production-ready LLM applications with LangChain

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About this course

Learn to build sophisticated LLM applications using LangChain — from simple chains to complex agents. Master prompting, retrieval-augmented generation, memory, and tool use, and learn how to take your applications from prototype to production.

Whether you're building a document Q&A system, an autonomous research agent, or a conversational AI assistant, this course gives you the hands-on skills to do it with LangChain.

Format
Self-paced online
Level
Intermediate
Prerequisites
Python basics, LLM familiarity
Tools
Python, LangChain, OpenAI API
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What you'll learn

  • Chains and agents

    Build sequential chains and autonomous agents that reason, plan, and act.

  • RAG systems

    Implement retrieval-augmented generation to ground LLMs with your own data.

  • Memory and state management

    Add short-term and long-term memory to your LLM applications.

  • Tool calling

    Connect LLMs to external APIs, databases, and real-world systems.

  • Production deployment

    Deploy and monitor LangChain applications in production environments.

Built with our LangChain partner

This course is developed in partnership with LangChain, ensuring you learn directly from the people building the framework. Get insider knowledge on best practices, upcoming features, and real-world patterns.

Learn about our LangChain partnership →
LangChain

Ready to build with LangChain?

Start building production-ready LLM applications today. Access course materials at your own pace on DSD Academy.