DeepLearning.AI's LangChain for LLM Application Development teaches you to build AI apps using LangChain, the most popular framework for chaining language models with tools and memory. You learn models, prompts, chains, memory, agents, and document Q&A. The course is free on deeplearning.ai and takes about 2 hours. After finishing, you can build chatbots that remember conversations and agents that use tools to answer questions. The main limitation: LangChain evolves fast. Some patterns taught here may have been updated in newer LangChain versions.
LangChain is the most starred AI framework on GitHub, used by thousands of companies building AI-powered applications (source: GitHub star counts and LangChain community stats).
About This Course
The definitive short course on building with LangChain, taught by its creator Harrison Chase alongside Andrew Ng. Covers document loading, splitting, vector stores, retrieval, and agents. Free.
Course Details
Frequently Asked Questions
Is this course free?
Yes, free on deeplearning.ai.
Do I need Python and API experience?
Yes. Basic Python and familiarity with the OpenAI API are expected.
Is LangChain still the best framework?
It's the most popular. LlamaIndex is also widely used. Both are worth knowing.
What can I build after this?
Document Q&A apps, conversational agents with memory, and multi-step reasoning pipelines.
Is LangChain free to use?
The framework is open source and free. API calls cost money depending on the model you use.
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