Learning the Essentials of AI Agents - From Beginner to Practical Application, Super-Intelligent Agents Beyond Work Assistants

Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials

AI will not replace people. But 'you utilizing AI' will replace all who don't.

Write meeting minutes, build apps, and even create videos all on one platform. Become an AI multiplayer with Google AI Studio!

A complete roadmap for obtaining the Big Data Analysis Engineer certification! We provide a systematic learning process for passing the exam, from data analysis beginners to experts.

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

Adding Copilot to MS Office? The perfect guide to maximizing work productivity! We provide a systematic learning process for effectively utilizing M365 Copilot in practice.

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

If you've ever thought... "I wish I had JARVIS, Iron Man's perfect assistant"?! Complete everyone's JARVIS to help with your smart work management!

Perplexity makes AI research a given, now complete strategic reports too! Proven '10-minute' work automation practical class with real results

Create ads all by yourself in a snap! Visual creative practice: Complete everything from images to videos and music with AI

Perplexity AI Research Workflow: From Search to Insight! Generative AI Practical Curriculum: Mastering Information Flow

From Midjourney Creation to CapCut Editing! Complete AI Video Production Workflow Ready for Immediate Professional Use

This course teaches you how to derive business insights or share derived insights by creating visual reports in the form of dashboards that support automated user interaction based on Google Data Studio, a free service.

How to vlookup data scattered across multiple files without moving the sheet? How to add data that is not in the original data to the pivot table? How to merge files in one folder at once? How to process more than 100 million data in a worksheet? If you can't think of an answer, take this course.

Claude AI First Steps: Get It Right from the Start, Directly Applicable in Practice! Want to use it smarter? Start with Claude AI.

A course that breaks down the barriers to 3D printers and allows you to easily and simply get started with 3D printer modeling! Let's create your own design props with a 3D printer, from tool functions to how to use crate foam.

A course to quickly learn the core functions and tips of Notion, a collaboration tool that provides various functions easily and conveniently! Let's systematically learn from registration to effective use and increase work efficiency and collaboration efficiency!

The most popular tool for designers, Figma! Become a popular UX/UI designer by easily creating with AI!

Stylish video content created with just one line of text! An Easy and Fast Introduction to SNS Content Creation, Starting with Kling AI

Now is the time to answer based on data rather than experience! If you quantify the reliability with statistical knowledge and present it as evidence, your persuasiveness will increase infinitely!

How to easily create games with AI and monetize by launching your game on the Toss app with 30 million users

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

# Building an 'Intelligent Collaboration' Expert Agent Team Using Spring AI Router Pattern + RAG + MCP Beyond Single Agents to Architecture: The Definitive Guide to Router Pattern and Agent Isolation Design

This is a course to master the core technologies of LLM basic theory, LangChain, and RAG. You can easily learn the latest AI technologies used in practice, from LLM basics!

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

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.

An AI system that grades and reviews your code in 5 seconds - imagination becomes reality. This course is an all-in-one project that builds a **'GitHub PR Automatic Analysis and Grading Bot'** using Spring AI. When a student submits an assignment (Pull Request), the server detects it and AI analyzes the code changes (Diff). The grading results are then stored in the database, feedback is automatically posted as GitHub comments, and students can check their results on a dedicated dashboard. From backend to AI integration and frontend (Vaadin) - all with Java! This is the ultimate introductory guide for all developers who want to complete their own AI service from A to Z.

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.

AI, the Key to Opening the World of Statistics "AI, by enabling easy mastery of complex statistical principles and analysis techniques, uncovers hidden meanings in data and provides insights for better decision-making. AI is now beyond a complex statistical calculator; it is a companion supporting statistical thinking."

No coding knowledge needed! Turn your idea into real revenue in just 4 weeks. Using AI and the latest tools, create both a website and app simultaneously and connect them directly to services.

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours worrying about slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

Are you tired of repetitive tasks? This one lecture is enough. Combine Make, Apps Script, and AI to build your own business automation system. From souvenir recommendations to receipt OCR processing, this is a practical, hands-on course where you just need to follow along, even if you don't know coding.

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

This lecture is for those unfamiliar with development but wanting to start vibe coding, and for those wanting to directly create a landing page to promote their own store (restaurant, cafe, etc.) or service (lawyer/tax accountant/hospital, etc.). We will properly establish the starting point for vibe coding.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

Have you never coded before? Or are you already skilled? If your self-made game is on your self-made homepage, isn't that cool? We prepared this course for such people.

We explore methods for creating an AI judge by combining multiple agent frameworks such as CrewAI, LangChain, and AutoGen that enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

This course covers the fundamentals of the Notion API and teaches you how to automate Notion by integrating AI (Claude) using Notion MCP. You'll learn to directly control blocks, pages, and databases by following the official API documentation, and ultimately complete a hands-on project that creates databases and automatically adds pages by analyzing text file content using only natural language commands (prompts).

It's an era where you can create apps even without knowing how to code. If you have an idea, you can implement the features you want by conversing with Claude Code. This book introduces a new development approach where you communicate with AI to achieve desired results, rather than writing code directly. Through 15 hands-on projects, you'll experience various workflows with AI, from creating personal web pages to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following examples, this provides an experience of completing the entire real-world development process—from planning, design, testing, to deployment—in collaboration with AI.