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LangChain courses and tutorials

Explore LangChain courses for Python LLM applications, retrieval, tools, and agent workflows, with advice on prerequisites and changing library APIs.

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About LangChain

LangChain provides abstractions for connecting language models with application data and tools. Those abstractions are easier to use when you understand the underlying request, retrieved context, and response. Learn one working pipeline before combining many integrations.

Choose a useful starting point

Eden Marco's Udemy course is aimed at software developers. Compare its application focus with a broader generative AI bootcamp if you need more groundwork. Check the taught library version, repository dependencies, and your familiarity with Python, APIs, and environment variables.

Build on the lessons

Implement a small document question-answering feature and inspect each stage independently. Record which documents were retrieved and compare the final answer with them. Reproduce a simple model call without the framework so you can locate failures.

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