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.
Status: Prompt Engineering
Prompt Engineering
Status: AI Workflows
AI Workflows
Beginner·Project·1 hour
Featured reviews
5.0
·Reviewed Sep 30, 2025
Powerful Framework, looking forward to use it on my development
5.0
·Reviewed May 4, 2025
Good introductory course to get started with Langchain
5.0
·Reviewed Mar 17, 2025
Great hands-on introduction (all code included) to LangChain
5.0
·Reviewed May 28, 2025
Concise but highly informative introduction to LangChain with sample code for some use cases
5.0
·Reviewed Mar 18, 2025
The lecture was well-taught and covered a very interesting topic!
5.0
·Reviewed Oct 16, 2024
Providing the overview for how to use LangChain and understand it's benefit.
5.0
·Reviewed Sep 4, 2024
very good overview of Langchain's amazing capabilities
5.0
·Reviewed Dec 16, 2024
Extraordinary to learn about AI agents and frameworks
5.0
·Reviewed Nov 27, 2025
very detailed and amazing for even intermediate and advanced ML enthusiats and practicioners
All reviews
Showing: 20 of 50
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Most Helpful
T
Taylor
4.0
·Reviewed 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 It's quite a bit out of date now, so most of the syntax has changed with LangChain, which is a bit annoying.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.
D
Darrell
5.0
·Reviewed May 28, 2025
Concise but highly informative introduction to LangChain with sample code for some use cases
L
Lokesh
3.0
·Reviewed Dec 20, 2025
good for basics but too outdated for this fast moving LLM zone.
K
Kaushik
1.0
·Reviewed Apr 8, 2025
Outdated. Expecting more detailed explanation. Not for beginner level.
A
Ahmed
5.0
·Reviewed Nov 28, 2025
very detailed and amazing for even intermediate and advanced ML enthusiats and practicioners
S
Satish
5.0
·Reviewed Jan 10, 2025
I learned about models,parsers, prompts, evaluation, agents in this course. It was good
T
Tang
5.0
·Reviewed Oct 16, 2024
Providing the overview for how to use LangChain and understand it's benefit.
Y
Yahui
5.0
·Reviewed Mar 28, 2025
Really helpful for those who want to start building LLM applications
L
Luiz
5.0
·Reviewed Mar 19, 2025
The lecture was well-taught and covered a very interesting topic!
E
Edwin
5.0
·Reviewed Oct 1, 2025
Powerful Framework, looking forward to use it on my development
B
Ben
5.0
·Reviewed Mar 18, 2025
Great hands-on introduction (all code included) to LangChain
A
Andrés
5.0
·Reviewed Feb 5, 2025
A wonderful explanation of a tool that LangChain offers.
S
Serjesh
5.0
·Reviewed May 4, 2025
Good introductory course to get started with Langchain
E
Elise
5.0
·Reviewed Sep 4, 2024
very good overview of Langchain's amazing capabilities
J
Javier
5.0
·Reviewed Dec 17, 2024
Extraordinary to learn about AI agents and frameworks