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A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.
93 learners
Level Basic
Course period Unlimited


Reviews from Early Learners
5.0
김대성(생성 10회차)
Thank you for explaining it so very clearly and easily.
5.0
오경국
It was very helpful.
5.0
sjoh
RAG is a hot topic these days. I have confirmed that this one lecture provides a solid foundation for RAG.
Langchain Architecture: Understanding and Practical Application
RAG service core tech acquisition
Integrated implementation of Gen AI chatbot system's frontend and backend full-stack development
RAG Service Optimization Strategy Through Real-world Examples
A complete guide to building an AI chatbot system with Langchain and RAG!
We provide a systematic learning process for developing generative artificial intelligence technologies.


No more complicated processes
Understand core technologies and implement AI chatbot systems right away.
– Summary of essential Langchain concepts
– How to apply real-world web technologies
– A Guide to Building a Perfect AI Chatbot System
Stop wasting your time unnecessarily.
Solve everything with this one lecture
After taking this course, I realized for the first time that Langchain is such a powerful tool.
Building the RAG service was incredibly beneficial, as I was able to access a variety of technologies. Now, I feel like I can build an AI system on my own!
Experience Group Review (Lee***)
You explain it so well that it seems like it can be used right away in real life!
I'm very satisfied with learning practical AI development techniques, rather than just theoretical lectures . I especially enjoyed learning how to build an AI chatbot.
Experience Group Review (Park**)
The instructor explains it well.
To be honest, I thought it would be difficult at first , but I realized the true value of Langchain and RAG services!
Skills that previously felt difficult now seem within reach.
By implementing it myself through hands-on training, I gained confidence and I think I will be able to take on more projects in the future.
Experience Group Review (Gam****)
What is Langchain?
Langchain is a Python-based library that helps you easily implement complex natural language processing (NLP) tasks using language models.
This allows for the easy development of various AI systems, especially chatbots and text analysis systems.
What is RAG service?
The RAG (Retrieval-Augmented Generation) service is an AI model that combines search and generation functions.
RAG retrieves relevant information from the database in response to user questions and generates accurate and useful answers based on this information.
AI systems built this way provide a better user experience and maximize the efficiency of information retrieval and creation.
This is a core course to learn AI chatbot development and RAG service optimization .
Learn the concepts and usage of Langchain, which is essential for building RAG services.
How to construct and optimize an LCEL-based RAG pipeline through hands-on training
How to Implement an AI Chatbot Interface with HTML/CSS and JavaScript & Integrate with FastAPI
Analyze and learn successful application strategies for RAG services through real-world examples.
1. Apply for a class
2. Practice following the instructor's instructions.
3. Become an AI Chatbot Expert
Strengthening the ability to design and implement AI systems directly with Langchain and RAG.
Through practical project learning using AI
Maximizing work performance and creating a portfolio
Advance your career further
Leveraging AI, now through AI technology
Adapt quickly to the changing business environment
Growing into a leader
Now is the perfect time to learn and leverage AI chatbot technology.
– Anyone who wants to learn from the basics to advanced AI system construction
– Anyone who wants to use AI for data-driven decision-making
– Professionals who want to immediately apply the latest AI technology to their work.
– Current developers and engineers interested in implementing AI chatbots and RAG services
– Developers who want to advance their careers by developing generative AI and enhance their competitiveness by including it in their portfolio.
With AI technology becoming essential in every field, are you worried that you're falling behind?
Master Langchain and RAG services through this course and strengthen your competitiveness.
Learn the entire process of building AI systems and gain powerful tools you can immediately apply in practice!
Master Langchain and RAG services through Maso Campus lectures,
Take your first steps as an AI developer.
Register for the course today and lead the way in an AI-driven future.

Q. What level of prior knowledge and coding skills are required to develop AI systems?
A. This course is intended for those interested in AI system development. Intermediate or higher proficiency in Python backend development and beginner-level skills in HTML, CSS, and JavaScript frontend development are required. While AI-related concepts are systematically explained from the basics, prior knowledge of AI coding will enhance learning.
Q. Do I need to install any tools or programs used in the lecture?
A. The AI tools and software used in this course are provided free of charge, and step-by-step instructions on installation and use will be provided during the lecture. The latter half of the course will use Visual Studio Code. While the basic usage of this tool is briefly introduced at the beginning of the lecture, we recommend installing and using it in advance to ensure a smooth learning experience.
Q. Are there any requirements or prerequisites for taking this course?
A. This course uses Google's Colaboratory (Colab) software. Colab provides a cloud-based Python environment, so you can use it right away without any installation. However, to ensure a smooth learning experience, we recommend familiarizing yourself with the basics of Colab beforehand. New Colab users will need a Google account. Pre-configuring the Colab environment by accessing it will enhance your learning experience.
Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture screen and the practice screen.
Additionally, since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment.
Who is this course right for?
Those interested in Generative AI system building, from basics to advanced.
Professionals who want to apply the latest AI tech directly to their work
Current developers and engineers interested in Gen AI chatbot and RAG service implementation
Developer seeking career advancement through generative AI development and competitiveness boost via portfolio.
Need to know before starting?
This lecture is for those interested in AI system development, requiring intermediate or higher proficiency in Python backend development, and beginner-level proficiency in html, css, java script frontend development.
AI-related concepts are systematically explained from the basics, but prior knowledge of AI coding can lead to more effective learning.
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4.7
Rating
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The Miso Campus team strictly adheres to two principles for the growth of us all. 1. Actionable Content that can be put into practice immediately after learning. 2. Respecting the time and effort of participants.
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1. Actionable Content that you can surely use once you learn it
2. Time-Saving Curriculum that respects the time and effort of participants
We hope you will walk the path of growth together with Masocampus's Actionable and Time-Saving Curriculum.
We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.
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30 lectures ∙ (6hr 53min)
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8 reviews
4.5
8 reviews
Reviews 11
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Average Rating 5.0
5
I became interested in LLM thanks to the proper explanation of the theory and examples bb
I'm so glad that the lecture was well delivered! Thank you. 😊
Reviews 3
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Average Rating 5.0
5
Thank you for explaining it so very clearly and easily.
I'm so glad to hear that our lecture was helpful😊 Thank you for leaving a review!
Reviews 1
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Average Rating 5.0
5
It was very helpful.
Thank you for leaving a course review! I'm really glad it was helpful! Thank you 😊
Reviews 16
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Average Rating 5.0
5
RAG is a hot topic these days. I have confirmed that this one lecture provides a solid foundation for RAG.
Thank you for leaving a review😊 It feels like the hard work paid off. Maso Campus will always do its best!
Reviews 2
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Average Rating 5.0
5
This course is well structured for easy and quick access, and the instructors are particularly professional.
Thank you for leaving a review😊 It feels like the hard work paid off. Maso Campus will always do its best!
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