Enroll Course: https://www.udemy.com/course/nadocoding-langchain/
In the rapidly evolving world of artificial intelligence, the demand for practical knowledge and skills is higher than ever. The course ‘챗GPT를 넘어서! 랭체인(LangChain)과 RAG로 만드는 AI 문서 Q & A 챗봇’ on Udemy stands out as an excellent opportunity for anyone looking to delve deeper into AI applications and chatbot development.
### Course Overview
This course is designed as an introduction to building a RAG (Retrieval-Augmented Generation) system using LangChain. It caters to those who have been intrigued by conversational models like ChatGPT and want to take their understanding a step further by creating a smart Q&A chatbot based on real data.
### What You Will Learn
The primary goal of this course is to guide you through the entire process of building a RAG system using LangChain. Unlike many courses that focus solely on theoretical knowledge, this one emphasizes practical application. By the end of the course, you will have created your own AI-based document Q&A system, moving beyond simple AI usage.
### Prerequisites
You don’t need to be an AI expert or a seasoned developer to enroll in this course. However, having some foundational knowledge will help you make the most of your learning experience. Here are the prerequisites:
1. **Basic Python Syntax**: Understanding variables, lists, dictionaries, functions, conditionals, and loops.
2. **Experience with ChatGPT**: Familiarity with inputting prompts and receiving results will be beneficial.
3. **Basic Prompt Engineering Concepts**: A light understanding of separating system messages and user messages will enhance your learning.
### Course Structure
The course is structured into several key phases:
1. **Understanding LangChain**: Gain a foundational understanding of LangChain and how to use it effectively.
2. **Loading and Splitting Document Data**: Learn how to handle document data for your system.
3. **Transforming Data Using Embedding Models**: Discover how to convert data into a searchable format.
4. **Searching for Information and Generating Responses**: Master the art of retrieving relevant information based on user questions.
5. **Building a Complete RAG System**: Integrate all components into a functioning RAG system.
Each phase comes with practical coding exercises and examples, ensuring that complex concepts are explained in an easy and intuitive manner.
### Who Should Take This Course?
This course is perfect for:
– Individuals wanting to create their own AI services beyond ChatGPT.
– Those interested in document-based Q&A systems and RAG systems.
– Beginners eager to learn LangChain through hands-on practice.
– Aspiring developers and planners looking to enhance their skills through real-world projects.
### Conclusion
In just six hours, you can transform your understanding of AI and chatbot development. The course promises to make learning both easy and enjoyable, allowing you to naturally grasp the concept of RAG systems and how to implement them in your projects.
If you’re ready to take your AI skills to the next level, I highly recommend enrolling in this course. Let’s embark on this exciting journey together!
Enroll Course: https://www.udemy.com/course/nadocoding-langchain/