Practical LLM Service Development for Spring Developers

This is a course on developing microservice applications using the Spring Cloud suite from the Spring framework. You will learn how to use and configure Spring Cloud as a Cloud Native Application.

This course covers the process of developing a RESTful Web Services application using Spring Boot, and you can learn the basic knowledge required for designing a REST API.

Understand the basic knowledge required to build a virtual environment, create a virtual environment suitable for your environment using tools called Vagrant + VirtualBox, and build a Docker and Kubernetes Cluster. You can also introduce and practice virtualization SW suitable for macOS environments using Apple silicon chips.

This course is a process of learning about container virtualization technology, one of the four components that make up Cloud Native Architecture. It is a learning process that understands the basic concepts of container virtualization, which is the best way to deploy and operate Microservice applications, and covers Docker technology, which is the most widely known container virtualization technology. In addition to theoretical learning about the essential content required to deploy and operate applications developed in MSA form, you can understand how actual Docker containers work through related practical examples. In this course, you can also learn about various elements such as Docker Security and Logging that have not been covered in other existing lectures, and in the final practical project, you can build services (Harbor + Argocd) that can be linked to Docker technology and deploy applications to practice the core operating environment required for DevOps.

We will introduce the SW required for developing web applications using Java, and learn how to install and use the required SW. We will also introduce the setup process and execution method for starting Java web programming in IntelliJ IDEA Community, a programming development tool from Jetbrains (https://www.jetbrains.com/). Through this lecture, you can practice the basic process and tools used for developing web applications.

This course covers CI (Continuous Integration) and CD (Continuous Deployment) pipelines, which are one of the four core elements (MSA, CI/CD, DevOps, Container) that make up cloud native applications. Through this course, you can understand and practice the processes needed to build and deploy your own automated pipeline in both local and cloud environments using Jenkins, a CI/CD tool.

This lecture introduces the setup process for starting web programming in IntelliJ IDEA, a Java programming development tool from Jetbrains (https://www.jetbrains.com/).

This course explores MSA design patterns, implementation strategies, and various content crucial for microservice application development. You will acquire core knowledge and practical methods for successfully converting existing monolithic applications to MSA. You will analyze diverse design patterns underpinning microservice architecture, learning their suitable contexts and application methods.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

The limitations of LLMs? I’ll share practical solutions to real-world problems based on RAG trial and error and operational know-how from working in Silicon Valley.

Design and create your own student-customized AI Tutors and AI Avatars using generative AI such as ChatGPT and Gemini along with Google Colab. From prompt engineering and data analysis to building an AI Career Exploration Platform for career and academic counseling, you will complete practical projects that can be immediately applied in the classroom.

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

Let's create a service that improves itself even while you sleep! Learn step-by-step how to build a 24-hour vibe coding system using loop engineering with Codex.

Developing an 'Autonomous' Premium Reservation Agent Backend Using Spring AI + JPA + MySQL Beyond Chatbots to Agents: The Standard of Tool Calling and Prompt Engineering

How does the architecture change when an LLM is integrated into an existing backend? This is an introductory system design course that goes beyond simple LLM API calls to help you understand core AI service components such as Model Routers, LLM Gateways, and Vector DBs, and step-by-step design an operational AI service architecture including RAG and AI Agents. It is designed to help those who want to create their own LLM-based AI services quickly master the design workflow.

[How Smart People Think and Question] – Author's simplified lecture! Generative AI era, good questions over answers.

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

The capabilities of AI can expand infinitely depending on how you write your prompts. The benefits gained from collaborating with AI depend on the clarity of your questions and whether you provide sufficient background information. Now, please make full use of GPTs to perform efficient and purpose-driven tasks.

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

WordPress Post Scheduling, Thumbnail Auto-Registration Program Code - Get Yours!

Mastering ChatGPT: AI Use for Beginners - From Prompting to Content Creation and Programming

I share basic background knowledge and development experience for LLM Application development.

This is a practical Claude application course for AI beginners and non-developers. You will directly create results that can be immediately applied to real-world tasks, such as PPTs, content, YouTube videos, and product detail pages using Claude. Learn how to maximize work productivity using AI without any coding.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

Understand core AI concepts through visual materials—no formulas or code required—and practice prompt writing and task-specific application patterns. Covering everything from machine learning to generative AI, this practical introductory course empowers non-majors to apply AI directly to their work in just 90 minutes.

This is a practical Vibe Coding course where you will create a Travel MBTI diagnosis web app using only AI prompts and complete it to a production-ready level by actually integrating the Korea Tourism Organization's public Open API. You will learn how to transform crude results into a high-quality web app using prompt-splitting techniques, and cover the entire process from API key security to deployment.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.