https://github.com/SamurAIGPT/langchain-course

Learn to build and deploy AI apps.
https://github.com/SamurAIGPT/langchain-course

chatbot course gpt gpt4 langchain langchain-course python tutorials

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Learn to build and deploy AI apps.

• Host: GitHub
• URL: https://github.com/SamurAIGPT/langchain-course
• Owner: SamurAIGPT
• Created: 2023-05-19T12:18:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-12T15:03:05.000Z (over 1 year ago)
• Last Synced: 2024-04-13T13:09:39.411Z (9 months ago)
• Topics: chatbot, course, gpt, gpt4, langchain, langchain-course, python, tutorials
• Language: Jupyter Notebook
• Homepage: https://thesamur.ai
• Size: 466 KB
• Stars: 940
• Watchers: 34
• Forks: 69
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• jimsghstars - SamurAIGPT/langchain-course - Learn to build and deploy AI apps. (Jupyter Notebook)

README

        
# Langchain Course for Beginners

Welcome to the LangChain Beginners Course repository! This course is designed to help you get started with LangChain, a powerful open-source framework for developing applications using large language models (LLMs) like ChatGPT.

I have built 12 AI apps in 12 weeks using Langchain hosted on [SamurAI](https://thesamur.ai) and have onboarded million visitors a month.

### Topics (May be updated)

## Course Structure

This course is divided into four modules, each focusing on a particular aspect of LangChain:

1. Introduction to LangChain

2. Langchain Fundamentals

3. Building Applications with LangChain

4. Project and Conclusion

Each module contains lessons with theory and practical exercises to help solidify your understanding of LangChain.

### Getting Started

Videos coming soon https://www.youtube.com/@AnilChandraNaiduMatcha & https://www.youtube.com/@ankursingh9507

.Subscribe to the channel to get latest content

Follow [Anil Chandra Naidu Matcha](https://twitter.com/matchaman11) & [Ankur Singh](https://twitter.com/ankur_maker) on twitter for updates

Join our discord server for support https://discord.gg/FBpafqbbYF

### Prerequisites

This course assumes you have a basic understanding of Python and JavaScript, as LangChain is written in these languages. Familiarity with machine learning concepts and language models is beneficial but not required.

You will also need an OpenAI API Key to run the tutorials. You can obtain one from [here](https://platform.openai.com/account/api-keys) after signing up for an account and clicking on "Create new secret key". Copy the .env.example into a new file called '.env' and add your OpenAI API key after the `=`.

### Contributions

Contributions to this course are welcome! If you have suggestions for improvements, please open an issue or create a pull request.

### Also check

[LlamaIndex Course](https://github.com/SamurAIGPT/LlamaIndex-course)