Gen AI RAG Practical Guide, Complete Mastery 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 essentials

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

Course Experience Group Reviews
Corporate lecture specialist, lectures 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.

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***)

Complete an AI chatbot with just one lecture

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**)

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 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****)

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 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.

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

Features of the Langchain-based RAG service construction curriculum

This is a core course 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. Specific RAG service implementation method

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

3. Full-stack generative AI development technology

How to Implement an AI Chatbot Interface with HTML/CSS and JavaScript & Integrate with FastAPI

4. Analysis of RAG service application cases

Analyze and learn successful application strategies for RAG services through real-world examples.

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

1. Apply for a class

2. Practice following the instructor's instructions.

3. Become an AI Chatbot Expert

The 3 Steps to Success: Now is the Time

Technological capabilities UP!

Strengthening the ability to design and implement AI systems directly with Langchain and RAG.

Project performance and career advancement

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 into 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.

Introduction of knowledge sharers

I confidently recommend this to these people.

– 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!

Lecture Features

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

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.

Expected Questions Q&A

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.

Please check before taking the class!