実務型AI Agent入門 – 今すぐ使える核心だけを学ぶ

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

What should be done when building a generative AI or LLM-based RAG (Retrieval-Augmented Generation) system, but the desired performance isn't achieved and there's no suitable solution? This lecture presents methods to improve RAG performance based on Cognitive Load theory. Through this lecture, you will understand the limitations of LLM context windows and learn how to effectively manage cognitive load in RAG systems. It is a practical-level theoretical lecture covering Chunk size and structure design, high-quality Chunk generation techniques, dynamic optimization, performance evaluation, and practical techniques.

What if ChatGPT were embedded within your own application? In this lecture, we will develop various programs using the ChatGPT API. We will cover all processes in detail, from basic API usage to program creation and deployment.

AI utilization skills determine your salary. Leave those tedious repetitive tasks you do every day to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work automatically with just a few clicks, without any coding knowledge. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

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.

Python Programming Basic Hands-on Lecture taught by a professional Data Scientist! In this lecture, chosen by over 5,000 cumulative students, you can master Python from basics to practical application, step by step, with Selena. Living in the era of generative AI and LLM, the essential language you must learn is Python. This is a verified lecture that received 5 out of 5 stars based on high student satisfaction, and an unlimited Q&A open chat room is also provided where you can ask questions and communicate anytime while taking the course.

Perfectly master the working process of MCP by creating a TodoList with Claude and IntelliJ.

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

The Latest Trend in Generative AI, AI Agents! How to Stay Ahead with Cursor, which handles all development tasks, and MCP, which expands functionality!

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

Chatgpt is a program that reads and comments on posts written by my neighbors Lesson on developing marketing automation and neighbor management programs

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

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.

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?

This course focuses on M365 Copilot, a smart work partner in the Microsoft 365 ecosystem, and covers how to achieve work innovation by utilizing AI in an environment where security and copyright are protected. It introduces the main features of Copilot and various ways to leverage it in conjunction with Microsoft 365 services, while also presenting prompting techniques to elicit accurate and effective responses.

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

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