This repository offers a structured, four-module course for beginners to learn LangChain, an open-source framework for building LLM-powered applications. It targets developers seeking practical experience, aiming to enable the creation and deployment of AI apps, with the instructor having built 12 apps in 12 weeks using the framework.

How It Works

The course follows a modular approach, covering LangChain fundamentals, application building, and concluding with a project. It emphasizes hands-on learning through theory and practical exercises, leveraging Python and JavaScript, the primary languages for LangChain development.

Quick Start & Requirements

• Installation: Clone the repository and set up a Python environment.
• Prerequisites: Basic Python and JavaScript knowledge. An OpenAI API Key is required.
• Setup: Copy .env.example to .env and insert your OpenAI API key.
• Resources: Links to YouTube channels for video content: https://www.youtube.com/@AnilChandraNaiduMatcha and https://www.youtube.com/@ankursingh9507.

Highlighted Details

• Practical application focus with instructor's experience building 12 AI apps in 12 weeks.
• Community support available via Discord: https://discord.gg/FBpafqbbYF.
• Updates and content shared via Twitter handles of instructors.

Maintenance & Community

• Active community support via Discord.
• Instructors Anil Chandra Naidu Matcha and Ankur Singh provide updates on Twitter.

Licensing & Compatibility

• The repository does not explicitly state a license.

Limitations & Caveats

• Video content is "coming soon."
• The repository does not specify a license, which may impact commercial use or closed-source integration.