Langchain Course for Beginners
Welcome to the LangChain Beginners Course repository! This course is crafted to assist individuals in starting their journey with LangChain, which is an influential open-source framework tailored for the development of applications employing large language models (LLMs) like ChatGPT.
The creator of this course has impressively developed 12 AI applications over the span of 12 weeks, utilizing LangChain and sharing them on the platform, SamurAI. This initiative has successfully attracted a significant audience, welcoming a million visitors every month.
Topics
(Note: Topics are subject to updates as the course evolves.)
Course Structure
The course is carefully structured into four distinct modules, each dedicated to a specific aspect of LangChain:
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Introduction to LangChain: This first module lays the foundational understanding of what LangChain is and its potential uses in modern application development.
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LangChain Fundamentals: This segment delves deeper into the core fundamentals of LangChain, equipping learners with essential knowledge and skills.
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Building Applications with LangChain: In this module, participants will engage in practical application construction using LangChain, bridging theory with real-world application.
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Project and Conclusion: The final module allows learners to consolidate their knowledge through a project, culminating in a comprehensive understanding of LangChain.
Each module consists of lessons that blend theoretical insights and practical exercises, aimed at solidifying the learner's grasp on LangChain.
Getting Started
Learners can look forward to upcoming video tutorials, which will be accessible on YouTube through these channels: Anil Chandra Naidu Matcha and Ankur Singh. Subscribing to these channels will ensure you receive the latest educational content as it is released.
To stay informed, followers can connect on Twitter with Anil Chandra Naidu Matcha and Ankur Singh for continuous updates. Additionally, support and community discussion are available via the course's dedicated Discord server.
Prerequisites
This course assumes participants have a baseline comprehension of Python and JavaScript, as LangChain is developed using these programming languages. While familiarity with machine learning concepts and language models can enhance the learning experience, it is not a mandatory requirement.
Moreover, participants will need an OpenAI API Key to execute the tutorials. This can be obtained by creating an account on the OpenAI platform and generating a new secret key. To facilitate this, it's necessary to copy the file '.env.example' into a new file named '.env' and input your OpenAI API key after the =.
Contributions
The course is open to contributions from the community. Enthusiasts and experts are encouraged to provide suggestions by opening an issue or submitting a pull request for improvements to enrich the course offerings.
Also Check Out
For those interested in further expanding their knowledge, the LlamaIndex Course is another valuable resource to explore.