LLM Application Development Experience Sharing Session

This course is a membership subscription concept, so once you purchase it, you can continue to take additional classes😃

The ultimate full-stack course that teaches even beginners about web, server, mobile apps, and machine learning!! If you're not sure where to start with development, I highly recommend this course. It's all done with just Javascript!

This video shares the experience/know-how learned while building an LLM Application with over 200,000 MAU and the supporting LLMOps environment.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

Master prompt engineering perfectly, an essential skill for developers in the AI era.

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

TypeScript LangChain Basics: From LLM Essentials to RAG

LLM: A pro quickly delivers core content, from essentials to practical tips!

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

You can implement hands-on practice of infinitely generating cryptocurrency trading signals automatically using ChatGPT and Python, and backtesting and validating them. Additionally, you can learn how to combine all the strategies automatically generated by AI into a single strategy and apply it to actual trading.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

Create a program using the GPT API and even generate images and videos!

Do you want to implement marketing automation but don't know where to start? Are you struggling with CRM, email marketing, and AI tools operating in silos, or seeing customer data pile up without an increase in conversion rates? This course guides you from start to finish on how to create a marketing automation system that "actually leads to sales" using CRM and Generative AI. By integrating practical tools such as ChatGPT, Zapier, Kit (ConvertKit), ElevenLabs, and HeyGen, you will build a hyper-personalized CRM workflow that segments customers → automatically delivers personalized messages → and maximizes conversion rates. Consisting of field-proven cases and step-by-step practices rather than just theory, even beginners with no marketing experience can build a complete CRM automation system by following this course.

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.