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Learner Reviews & Feedback for LangChain for LLM Application Development by DeepLearning.AI

4.8
stars
165 ratings

About the Course

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. In this course you will learn and get experience with the following topics: 1. Models, Prompts and Parsers: Calling LLMs, providing prompts and parsing the response. 2. Memories for LLMs: Memories to store conversations and manage limited context space. 3. Chains: Creating sequences of operations. 4. Question Answering over Documents: Apply LLMs to your proprietary data and use case requirements. 5. Agents: Explore the powerful emerging development of LLM as reasoning agents. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours....

Top reviews

DM

May 28, 2025

Concise but highly informative introduction to LangChain with sample code for some use cases

SS

Jan 9, 2025

I learned about models,parsers, prompts, evaluation, agents in this course. It was good

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26 - 27 of 27 Reviews for LangChain for LLM Application Development

By Taylor R

•

Mar 3, 2025

This is a great course/project, and it was awesome to see Harrison along with Andrew teaching it. It's quite a bit out of date now, so most of the syntax has changed with LangChain, which is a bit annoying. I ended up re-working all the code with the latest version of LangChain, and I found the experience very rewarding. It took significantly more than an hour to do all of that, though.

By Kaushik S

•

Apr 8, 2025

Outdated. Expecting more detailed explanation. Not for beginner level.