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LangChain for LLM Application Development

Beginner 1 hours English Completion CertificateFREE

About this course

LangChain for LLM Application Development is a one-hour guided project that moves fast through the core LangChain building blocks: calling LLMs with prompts and parsing responses, adding memory so conversations have context, chaining operations together, answering questions over your own documents, and a first look at agents as reasoning engines. It's taught by Harrison Chase, who created LangChain, alongside Andrew Ng.

Because it's a single hour, it's a tour, not a deep dive — each of the five sections (models/prompts/parsers, memory, chains, document Q&A, agents) gets just enough time to see it work, not master it. That's the point: it's meant to get you oriented fast, with the implication that you'll go deeper into whichever piece you actually need.

The honest take: there's no better-credentialed instructor pairing for this specific topic, and the speed is a feature if you already know LLM basics and just want LangChain specifically — but pick a longer course if LangChain itself is unfamiliar territory.

What you'll learn

Call LLMs and parse their responses with LangChain
Add memory to LLM conversations for context retention
Build chains that sequence multiple LLM operations
Apply LLMs to question-answering over your own documents
Get a first working look at agents as reasoning engines
Know which LangChain piece to study next for your use case

This course includes

1h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

HC
Harrison Chase & Andrew Ng
Coursera instructor
learners courses instructor rating

Harrison Chase created the LangChain framework. Andrew Ng is the founder of DeepLearning.AI and a co-founder of Coursera.

Requirements

  • Basic Python knowledge
  • Basic familiarity with how LLMs work

Who this course is for

  • Developers who already understand basic LLM concepts
  • Anyone evaluating LangChain before committing to it
  • Python developers building LLM-powered applications

About this provider

CO
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Frequently asked questions

It gets you oriented across all the core pieces in an hour, but for production use you'll likely need to go deeper into the specific piece (chains, agents, etc.) you need.
Yes, free to audit as a Coursera guided project, with a certificate available on paid plans.
Basic familiarity helps — this course is about LangChain specifically, not LLM fundamentals.
About 1 hour — it's designed as a fast, focused tour.
Harrison Chase, who created LangChain, and Andrew Ng of DeepLearning.AI — about as credentialed a pairing as exists for this topic.
Free
to audit
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