Gemini's Practical Development - Commerce Backend Legacy and AI Application

This course focuses on building the real skills needed in actual development work. The goal is not simply to learn how to write code well, but to experience how to work well as a developer. The examples are based on the commerce domain, covering cases frequently encountered in real-world work environments, and are provided in SpringBoot & Kotlin. However, it's a course where anyone can contemplate and experience real-world development through thought-provoking content, without being dependent on any specific language or framework. Based on the practical perspective of a senior developer and former director at Toss Payments who led a large-scale payment service organization, the course is designed to help you learn the thought processes and design decisions used in actual work environments.

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

This is a practical backend course designed to cultivate the service planning and design thinking skills that developers need in the AI era.

This course focuses on building the real skills needed in actual development work. The goal is not simply to learn how to write code well, but to experience how to work well as a developer. The examples are based on the commerce domain, covering cases frequently encountered in real-world work environments, and are provided in SpringBoot & Kotlin. However, it's a course where anyone can contemplate and experience real-world development through thought-provoking content, without being dependent on any specific language or framework. Based on the practical perspective of a senior developer and former director at Toss Payments who led a large-scale payment service organization, the course is designed to help you learn the thought processes and design decisions used in actual work environments.

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

Building Your Own Emotional Diary Service with SpringAI + React This is the 4th project time creating together with Neo + Essential!

# 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

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.

This course on RAG (Retrieval-Augmented Generation) 👉 doesn't stop at conceptual explanations 👉 but involves building actual working structures hands-on 👉 and experiencing expansion and advancement through practice-focused learning. Starting from simple RAG examples, you'll progress step-by-step from Advanced RAG → Modular RAG → Agent-based RAG to a level that can be immediately applied in real-world work environments.

I'll show you how Java backend developers using IntelliJ can maximize productivity with Claude Code. In particular, I'll help you completely solve the Vibe coding environment issues that Windows users experience.

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!

[TPC DB!] A course that allows you to learn database modeling while thinking, learn database modeling step by step, and master everything from database modeling to web programming implementation all at once.

[Newbies to Web Development Only] Let's Build a Spring Boot REST API Step-by-Step, the Easy Way

Now your imagination becomes the best game design document! With AI, you can complete your first game by having fun conversations as if assembling LEGO blocks. Try using Google Gemini Pro for free!

You can learn about the core functions of MySQL and how to effectively use them in your work. You can also gain a new understanding of important parts that you have been using for a long time and have overlooked, and gain in-depth database knowledge.

This lecture covers how to easily implement game backend systems using UGS (Unity Gaming Service). You will practice essential features such as Guest and Username/Password authentication, game data storage, leaderboards, and Remote Config. UGS has built a perfect ecosystem with Unity, preparing a practical course for easy learning without entry barriers, allowing immediate application to your projects.

Learn the essential fundamentals of SQL and databases needed for practical work. Not only developers, but also product managers and data analysts can learn SQL in depth.

This AI Literacy and Transformation Series (1) covers the following topics: 1. Data Center Cooling Innovation in the AI Era The Problem: The explosive power consumption of the latest AI chips (GB200, etc.) has pushed traditional air cooling methods to their limits, leading to AI performance degradation and massive operational cost issues. The Solution: Presents innovative liquid cooling technologies including Rear Door Heat Exchangers (RDCH), Direct-to-Chip (DTC) cooling, and immersion cooling. Additionally, provides strategies to simultaneously secure efficiency and sustainability through intelligent control systems that predict even leakage current and circular economy models that recycle waste heat for district heating. 2. The AI Paradox: Strengthening Critical Thinking to Awaken the Brain The Problem: The phenomenon of 'cognitive offloading'—outsourcing thinking to AI—is causing modern people's analytical thinking and literacy skills to rapidly deteriorate, creating a 'cognitive debt' problem. The Solution: Redefines AI not as a simple answer tool but as a tool for a 'cognitive gym'. Builds a system that makes you think first using critique, research, and synthesis agents, and strengthens metacognitive abilities as a 'helmsman' who determines direction rather than a passive passenger. 3. AI Memory Crisis: Next-Generation Architecture Design The Problem: The size of short-term memory storage (KV cache) required by AI is exploding, but expensive and limited-capacity HBM alone faces physical limitations in handling this data wave. The Solution: Presents a strategy for building a 'heterogeneous memory dream team' combining HBM, DRAM, CXL, etc. Provides solutions that dramatically lower corporate Total Cost of Ownership (TCO) by transferring smart system architecture design capabilities that balance capacity and cost rather than focusing on single component performance. 4. Palantir Ontology: Actionable Data Intelligence The Problem: Data is overflowing but fragmented, creating a 'data graveyard' problem where it fails to translate into actual decision-making and execution, blocking corporate innovation. The Solution: Gives data context and meaning through an 'Ontology' engine that maps physical assets to digital representations. Realizes data democratization where field personnel can directly command business without IT department assistance through 'Action Types (execution capabilities)' that immediately reflect analysis results into operational systems. 5. The Great Rewiring: AI Intelligence Stack Strategy The Problem: As the technology paradigm fundamentally shifts from the Internet era's 'deterministic computation' to the AI era's 'probabilistic prediction', existing business structures are being completely shaken. The Solution: Clarifies the reality of change through a '5-layer Intelligence Stack' map connecting semiconductors to applications. Provides a strategic decision-making framework for determining whether to Build or Buy AI capabilities, drawing a roadmap toward autonomous operating enterprises. 6. Forgetful AI: Maximizing Potential Through Feedback The Problem: AI's 'catastrophic forgetting' phenomenon where learning new information causes it to forget existing knowledge, and communication problems where unilateral commands prevent AI from performing properly. The Solution: Teaches 'coaching' and example-based dialogue methods instead of commanding AI. Transfers techniques for becoming a scientific training partner that enables AI to acquire new capabilities while maintaining existing knowledge through gradual feedback techniques that minimize behavioral change shock (KL divergence). 7. Engineering Financial Intelligence The Problem: Financial systems that remain stuck in past bookkeeping records and regulatory compliance cannot optimize capital allocation for an uncertain future. The Solution: Transforms into a 'dynamic scenario planning (war game)' system that computes thousands of variables in real-time using generative AI. Helps CFOs evolve beyond simple managers into strategic architects who design corporate value through 'Financial LLM' utilization methods that convert simple numbers into strategic signals.

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.

The hottest vibe coding these days! You can learn how to develop and deploy a website (Next.js) with just a click using AI tools. We'll even show you how to develop for free using Google Gemini Pro.

Building a TodoList with Claude + IntelliJ - Complete MCP Mastery Master the workings of MCP by creating a TodoList with Claude and IntelliJ!

I've created an 'Introduction to Elasticsearch' course that even non-majors can easily understand and apply directly in real-world situations!