Zero to Hero in LangChain: Build GenAI apps using LangChain
Learn all features of LangChain & build Generative AI applications with Memory, RAG, Tools, Agents etc. using LangChain
4.60 (168 reviews)
10 130
students
5.5 hours
content
May 2025
last update
$19.99
regular price
What you will learn
Discover the core principles of LangChain and its application in building Generative AI models
Master the creation and use of Prompt Templates, including chat prompt templates and few-shot prompt templates, to optimize AI interactions
Develop complex chain structures, such as LLMChains and Sequential Chains, to enhance the functionality of AI-driven applications
Implement dynamic execution flows using LCEL-based Chains and Runnables, including controlling execution flow and dynamic routing
Utilize memory in LangChain to build advanced conversational AI that can remember and recall user interactions across sessions
Create a Retrieval-Augmented Generation (RAG) application, including document reading, chunking, embedding, and data retrieval from a vector database
Design and integrate custom tools and agents, including memory-enabled agents, into your LangChain applications to extend their capabilities
Construct a graphical user interface (GUI) for your Generative AI applications using Streamlit, enabling user-friendly interactions with your AI models
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6126419
udemy ID
14/08/2024
course created date
22/08/2024
course indexed date
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