The build-it course in DataCamp's LLM cluster. Over about three hours you use LangChain to assemble LLM-powered applications — chaining prompts and models, and adding retrieval so apps can answer from your own data. Practical and hands-on, aimed at people who can already code Python and want to build real LLM apps. API usage is billed separately.
Good for: Building real LLM applications with LangChain in Python.
Less suitable if: You cannot code Python or want concepts rather than building.
Requirements: Python; familiarity with LLM basics; an API key (usage billed separately).
Realistic time: Around 3 hours.
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.
What you'll learn
Build LLM applications with the LangChain framework
Compose chains that combine prompts and models
Implement retrieval-augmented generation (RAG)
Create agents that can call tools and take actions
Work with both OpenAI and Hugging Face models
Develop a chatbot backed by your own documents
This course includes
3h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription. Using the underlying model APIs is billed by usage by the provider, separate from DataCamp.
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