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Developing LLM Applications with LangChain

Intermediate 3 hours English Course Certificate
SkillsLangChainLLM applicationsPythonRetrieval-augmented generationPrompt chainingAI engineering

Is this course right for you?

Our take
The build-it entry in DataCamp's LLM cluster: roughly three hours using LangChain to assemble applications powered by language models.

Good for: Building real LLM applications with LangChain in Python.

Skip if: You cannot code Python or want concepts rather than building.

You chain prompts and models together and add retrieval so an app can answer from your own data — the practical skeleton of a real LLM app. It's hands-on and assumes Python, so it suits people who want to build rather than understand concepts, and isn't where to start if you can't yet code or you only want the ideas. As with the API course, the underlying model calls are billed by the provider, on top of your DataCamp fee.

The subscription is about $14/month billed annually with the first chapter free, and completion earns a learning record rather than a formal credential. One caveat specific to this course: LangChain moves fast, so confirm the methods still match the current library version (as of 2026).

Comparison · LBS

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About this course

Developing LLM Applications with LangChain is the build-it course in this cluster. Over three hours you use LangChain's framework to assemble LLM-powered applications: chaining prompts and models, adding retrieval so apps can answer from your own data (RAG), and wiring up agents that can take actions.

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Instructor

JB
Jonathan Bennion
DataCamp instructor

Taught by Jonathan Bennion, an AI engineer and LangChain contributor, with a practical, production-minded perspective on building LLM apps.

Frequently asked questions

Yes — it is a hands-on build course in Python, so basic Python and LLM familiarity are expected.

Yes — the model APIs LangChain calls are billed by usage by the provider, separate from your DataCamp subscription.

LangChain changes fast, so check the course methods still match the current library version.

Yes — the first chapter is free; the rest needs a DataCamp subscription. It rewards putting the ideas into practice, and what you learn transfers well beyond the specific examples used here.

Yes — a DataCamp certificate of completion is included with the subscription. It records what you completed rather than acting as an accredited qualification.
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