1時間で終わるLangChainの基本

RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.

This is for those who want to deploy/operate services with AWS. From domain settings to Docker and serverless!

How to Use Storybooks A to Z. We show you everything about storybooks.

New to Flutter? A Flutter Contributor will guide you step-by-step! Start Flutter dev with an AI project using Gemini.

Test code! For those who are at a loss as to where to start, here it is. From writing tests to deploying through automation, all in one place!

A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

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

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.

This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

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.

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

Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.