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LangChain Crash Course

LangChain Course for Beginners

Last Updated:04/2025 English (India) Instructor: Amit Diwan

Lectures: 14
|
Videos: 0.40 hours
|
Level: All
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Language: English
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Last Updated: 04/2025

Skills: Artificial Intelligence Generative AI LangChain

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14 lectures 0.40 hours English

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About this Course

Welcome to the LangChain course. LangChain is a framework designed to build applications powered by large language models (LLMs). It provides tools and abstractions to make it easier to integrate LLMs into applications, enabling tasks like question answering, text generation, retrieval-augmented generation (RAG), chatbots, and more.

LangChain: Use Cases

Here are some of the use cases of LangChain:

Question Answering: Build systems that answer questions by retrieving relevant information and generating answers using LLMs.
Chatbots: Create conversational agents that can maintain context across interactions.
Retrieval Augmented Generation (RAG): Combine retrieval of relevant documents with text generation for more accurate and context aware responses.
Text Summarization: Generate summaries of long documents or articles.
Code Generation: Build tools that generate code based on natural language descriptions.
Personal Assistants: Create virtual assistants that can perform tasks like scheduling, email drafting, or information retrieval.

Course Lessons

LangChain: Introduction

LangChain Introduction, Features, and Use Cases
What is Chaining in LangChain

LangChain: Components

Components/ Modules of LangChain
Preprocessing Component of LangChain
Models Component of LangChain
Prompts Component of LangChain
Memory Component of LangChain
Chains Component of LangChain
Indexes Component of LangChain
Agents Component of LangChain

LangChain with RAG

LangChain with RAG Workflow
LangChain with RAG Process
LangChain with RAG Final Coding Example

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Course Content

Prerequisites

About the Instructor

Amit Diwan

Founder

Courses...

Amit Diwan is an Entrepreneur, who founded Studyopedia to create, publish and sell programming courses. His courses are live on Udemy, Packt, O'Reilly, Tutorialspoint, Geeksforgeeks, etc. Technologies: Python, Data Science, Java, Bootstrap, HTML5, CSS, WordPress, etc.

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