Enroll Course: https://www.udemy.com/course/nadocoding-langchain/
Are you fascinated by the power of AI and conversational models like ChatGPT? Do you want to move beyond simply chatting with AI and build something truly practical? Then this Udemy course, ‘챗GPT를 넘어서! 랭체인(LangChain)과 RAG로 만드는 AI 문서 Q & A 챗봇’ (Beyond ChatGPT! Building an AI Document Q&A Chatbot with LangChain and RAG), is exactly what you need!
This project-based course is designed to guide you through the entire process of building a Retrieval-Augmented Generation (RAG) system using LangChain. You won’t just learn theory; you’ll get hands-on experience with how these systems work and how to bring them to life. By the end of this course, you’ll be equipped to create your very own AI-powered Q&A system that can intelligently answer questions based on your own data.
**What You’ll Learn:**
* **LangChain Fundamentals:** Understand the core concepts and practical usage of LangChain.
* **Data Handling:** Learn how to load and chunk your document data effectively.
* **Embeddings & Retrieval:** Discover how to transform your data into embeddings and set up a searchable index.
* **Response Generation:** Master the process of retrieving relevant information and generating intelligent responses to user queries.
* **End-to-End RAG System:** Integrate all the learned components into a fully functional RAG system.
**Who is this course for?**
This course is perfect for anyone who wants to go beyond basic AI usage and build their own AI services. If you’re interested in document-based Q&A systems, RAG, or want to learn LangChain through practical application, this course is for you. It’s also ideal for aspiring developers and planners looking to build their AI and development skills through a real-world project. You don’t need to be an AI expert or a seasoned developer; basic Python knowledge (variables, lists, dictionaries, functions, conditionals, loops) and experience with ChatGPT (understanding prompts) are sufficient. A basic understanding of prompt engineering will also be beneficial.
**Course Structure:**
The course is structured logically, taking you step-by-step through each component of building a RAG system. Each section includes practical code examples and intuitive explanations to make complex concepts easy to grasp. The entire journey from understanding LangChain to creating a complete RAG system is covered, making it accessible even for beginners.
**Recommendation:**
This course is highly recommended for its practical, hands-on approach. It demystifies the process of building advanced AI applications and empowers learners to create their own intelligent systems. With just 6 hours of content, it offers incredible value for anyone looking to dive into the world of LangChain and RAG. Please note that an OpenAI API Key (approximately $5) is required, and the course provides guidance on how to obtain it.
Ready to build your own AI assistant? Let’s get started!
Enroll Course: https://www.udemy.com/course/nadocoding-langchain/