Gen AI RAG Practical Guide, Complete Conquest of AI Chatbot Using Langchain

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.

Lecture on building a RAG service that only contains the core

No more complicated processes
Understand only the core technologies and implement AI chatbot systems right away.

– Summary of Langchain essential concepts
– How to apply real-world web technologies
– Guide to Building a Perfect AI Chatbot System

Stop wasting your time unnecessarily.
Solve everything with this one lecture

Course Experience Group Review
Corporate lecture specialist, lecture created with know-how

Acquire RAG service implementation capabilities

After taking this course, I realized for the first time that Langchain is such a powerful tool.

Actually, it was very helpful to be able to come into contact with various technologies while building the RAG service. Now, I think I can build an AI system on my own!

Experience Group Review (Lee***)

Complete AI Chatbot with One Lecture

You explain it so well that it seems like it can be used right away in real life!

I am satisfied with learning applicable AI development techniques rather than simple theoretical lectures . I especially enjoyed learning how to build an AI chatbot~

Experience Group Review (Park**)

Increased confidence in AI development capabilities

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 seemed difficult now seem within reach.
By implementing it myself through practice, I gained confidence and I think I will be able to take on more projects in the future.

Experience Group Review (Gam****)

Langchain, what is RAG service?

What is Langchain?

Langchain is a Python-based library that helps you easily implement complex natural language processing (NLP) tasks using language models.
This makes it easy to develop 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 created this way provide better user experiences and maximize the efficiency of information retrieval and creation.

Build powerful AI systems easily and quickly with Langchain and RAG!

Features of the curriculum for building a RAG service based on Langchain

This is a core lecture to learn AI chatbot development and RAG service optimization .

1. Langchain core concepts and practical applications

Learn the concepts and usage of Langchain, which is essential for building RAG services.

2. How to implement specific RAG services

How to construct and optimize an LCEL-based RAG pipeline through hands-on training

3. Full-stack generative AI development technology

How to implement AI chatbot interface with HTML/CSS and JavaScript & integrate with FastAPI

4. Analysis of RAG service application cases

Analyze and learn successful application strategies of RAG services through real-life cases

We'll feed you everything. Just prepare your mind to take the class!

1. Apply for a class

2. Practice following the instructor.

3. Becoming an AI Chatbot Expert

3 STEP TO SUCCESS, IT'S TIME TO TAKE IT NOW

Technological capabilities UP!

Strengthen your ability to design and implement AI systems directly with Langchain and RAG

Project Performance and Career Improvement

Through practical project learning using AI
Maximizing work performance and creating a portfolio
Advance your career further

Securing future competitiveness

Leveraging AI, now through AI technology
Adapt quickly to the changing business environment
Growing up as a leader

Now is the perfect time to learn and leverage AI chatbot technology.

Prepare to become an AI expert who will lead the future with this course.

Introducing the knowledge sharer

I confidently recommend this to these people.

– Those who want to learn from the basics to advanced aspects of building AI systems
– Anyone who wants to use AI for data-driven decision making
– Workers who want to apply the latest AI technology directly 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 increase their competitiveness by listing it in their portfolio.

With AI technology becoming essential in every field, are you worried that you might be left behind?
Master Langchain and RAG services and enhance your competitiveness through this course.
Learn the entire process of building an AI system and gain powerful weapons that can be applied directly to practice!

Course Features

Are you ready to become a leader in building AI systems?

Master Langchain and RAG services through lectures at Maso Campus.
Take your first steps as an AI developer

Register for the course today and lead the AI-driven future

Expected Questions Q&A

Q. How much prior knowledge and coding skills are required to develop AI systems?
A. This course is for those interested in AI system development, and requires intermediate or higher level Python backend development skills, and beginner level HTML, CSS, and Java Script frontend development skills. AI-related concepts are systematically explained from the basics, but you can learn more effectively if you have prior knowledge of AI coding.

Q. Do I need to install any tools or programs used in the lecture?
A. The AI tools and software used in the lecture are provided free of charge, and we will guide you step-by-step through the installation and usage methods during the lecture. The latter half of the lecture will be conducted using Visual Studio Code, and the basic usage of this tool will be briefly introduced at the beginning of the lecture, but we recommend installing and using it in advance to follow the lecture smoothly.

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 separate installation, but we recommend that you learn the basics of Colab in advance to proceed with the course smoothly. Also, if you are using Colab for the first time, you will need a Google account, and if you access Colab in advance and prepare the environment, you will be able to learn more smoothly.

Please check before taking the class!