Learn LangChain: Build LLM Applications with LangChain
Learn the fundamentals of LangChain by developing LLM-powered applications using OpenAI. Streamlit allows you to create web applications.
★★★★★ 4.4
(28 reviews)
2 hours of content
What you'll learn
- How to Build LLM-Powered Applications using LangChain.
- Dive deep into LangChain.
- How to create a complete LangChain-based Generative AI application.
- Discover LangChain components such as LLM wrappers, prompt templates, chains, and agents.
- Project. Streamlit Application for Instant Book Insights Using LangChain and OpenAI.
Covers LangChain fundamentals for building LLM-powered applications with OpenAI and Streamlit. Learners work with large language model wrappers, prompt templates, sequential chains, agents, and memory. A project builds a Streamlit application for book insights, giving practical experience with generative AI development.
Who this course is for
Ideal for developers with Python experience who want to build applications using LangChain and large language models.
#langchain
#llm
#openai
#streamlit
#generative-ai
#agents