A fast, one-hour guided project moving through LangChain's core building blocks — calling LLMs with prompts and parsing responses, adding memory, and chaining calls. Concise and hands-on, ideal for developers who want a quick, practical first look at LangChain. Note it uses model APIs (billed separately), and the same DeepLearning.AI short course is also available free on their site.
Good for: A quick, hands-on first look at LangChain's core building blocks.
Less suitable if: You cannot code Python or want an in-depth course.
Requirements: Python and LLM basics; a model API key (usage billed separately).
Realistic time: About 1 hour.
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.
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
What it costs
You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available. It uses model APIs billed by usage by the provider, separate from Coursera. The same DeepLearning.AI short course is also available free on the DeepLearning.AI website.
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A DeepLearning.AI certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.
Instructor
HC
Harrison Chase & Andrew Ng
Coursera instructor
Harrison Chase created the LangChain framework. Andrew Ng is the founder of DeepLearning.AI and a co-founder of Coursera.