Spring Security Framework Practical Project Hands-on Part.1

Obsidian is not just a simple note-taking app, but a powerful Second Brain tool that allows you to systematically connect knowledge and information for long-term use. However, many users often give up midway due to the difficulties of initial setup, the complexity of utilizing plugins, and disorganized note structures. This course is designed to directly solve these problems. Based on the instructor's experience in building knowledge management, project management, learning records, and productivity automation using Obsidian, this course provides step-by-step guidance on where to start, how to structure your system, and which features to use when. Starting from basic installation and settings, you will understand metadata, frontmatter, and Markdown structures. You will learn through practical examples of daily, weekly, and monthly note systems, template automation, and core plugins such as Tasks, Dataview, and QuickAdd. Furthermore, the course covers Zettelkasten-style note linking, project management, voice memo automation, and integration with external services, allowing students to apply these techniques immediately to their own environments. Through this course, students will integrate scattered information into a single system and complete their own Second Brain that can be continuously utilized across learning, work, and projects.

This course is a comprehensive curriculum designed for everyone from beginners encountering big data analysis for the first time to learners looking to strengthen their practical skills. Starting with the history of data and industry trends, it systematically covers the entire flow of big data analysis, including data collection, preprocessing, storage, analysis, visualization, statistical analysis, and deep learning techniques. Many learners face difficulties such as "not being able to see the big picture of data analysis" or "knowing the theory but not knowing how to apply it in practice." To solve these problems, this course is structured in the order of Concept → Process → Analysis Technique → Result Interpretation and Application, clearly explaining why each step is necessary and how it connects to real-world tasks. This course goes beyond basic theory and focuses on mastering the mindset and analytical workflow that can be directly applied to actual data analysis projects and professional work.

This course is designed to help you learn MySQL databases and SQL step-by-step, from the absolute basics to a professional level. It covers database concepts, relational models, SQL syntax, queries, conditions, sorting, functions, joins, subqueries, and indexes, with a focus on practical examples. The curriculum is structured so that you can understand concepts many students find difficult (such as joins, subqueries, and group functions) by following along directly. With a flow of Theory → Practice → Summary, this course ensures you can complete it until the end without getting stuck. Whether you are new to SQL or want to brush up on the basics, you will gain database skills that can be applied immediately in the workplace.

Do you want to implement marketing automation but don't know where to start? Are you struggling with CRM, email marketing, and AI tools operating in silos, or seeing customer data pile up without an increase in conversion rates? This course guides you from start to finish on how to create a marketing automation system that "actually leads to sales" using CRM and Generative AI. By integrating practical tools such as ChatGPT, Zapier, Kit (ConvertKit), ElevenLabs, and HeyGen, you will build a hyper-personalized CRM workflow that segments customers → automatically delivers personalized messages → and maximizes conversion rates. Consisting of field-proven cases and step-by-step practices rather than just theory, even beginners with no marketing experience can build a complete CRM automation system by following this course.

This course is a practical-focused learning program for JWT-based token authentication and security enhancement techniques that are essential in modern web service environments. Using Spring Boot 3, Spring Security 6, and React, you'll implement secure login systems and cover comprehensive security practices including XSS·CSRF countermeasures, HTTPS implementation, token reissuance and revocation strategies, and secure secret key management. Additionally, you'll practice real service-level environment configuration through AWS build·deployment and performance optimization using Redis, and the complete project source code provided in the course can be directly applied to real-world work.

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

In [스프1탄], through step-by-step learning from Spring Framework to Spring Security, it is a course that creates backend (Java Backend) development experts who build web-based ERP systems.

Did you give up while studying Spring? Even complete beginners new to coding and non-majors can make it from JSP to Spring Boot without giving up - we'll open the path to Spring Boot for you.

I will show you through live coding how to create a rest API with spring boot in just one hour for developers who know nothing about spring or spring boot.

This book provides an in-depth study of various intermediate-level Java features necessary for practical work, using example code.

Hello. I have prepared a lecture on HTML, which creates the frame of a web page, and CSS, which decorates the web page. It is the most basic before web development, and it is prepared so that even beginners can learn it easily.

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.

The features added to Java 8 are widely used in APIs provided by Java as well as third-party libraries and frameworks such as Spring. If you are a Java developer in this era, you must know them. Make them your own technology easily and quickly through this lecture.

Java web development Spring Boot, Vue.JS used by practitioners Learn by watching a simple video from basic settings to common designs

Create your own visual novel game using React, Javascript, SpringAI, and Springboot. Learn how to make a web-based visual novel game with SpringAI and React! Neo + Essential

Are you using Java, but are you still only using Java 8 syntax? Learn about the useful features newly added to Java 11 LTS and become a capable developer who can use Java more conveniently. The features introduced here can be used usefully in all 11 LTS, 17 LTS, and 21 LTS versions.

This course is structured to help you learn Redis's basic commands using Lettuce, one of Java's official libraries, and to understand how to handle Redis at a low level.

Spring AI + JPA + MySQL Premium Reservation Agent Backend Development with 'Autonomous Behavior' Beyond Chatbots to Agents: The Definitive Guide to Tool Calling and Prompt Engineering

Learn Springboot + iOS RestAPI Board Creation Faster Than Anyone Develop a CRUD server with Springboot and create your own board with iOS!!

I highly recommend Spring AI to developers using Spring Boot and React, as well as those considering the introduction of AI systems in corporate environments. This course goes beyond a simple introduction to libraries; it helps you understand the core concepts and internal structure of Spring AI, and strengthens your practical implementation skills through various hands-on examples. The course is based on Spring AI version 1.1.x and provides continuous technical support and expansion strategies to ensure you can adapt to future version upgrades. Furthermore, we expand the practical value of Spring AI technology by utilizing MCP (Model Context Protocol) to achieve cross-domain context integration, AI linkage in distributed environments, and AI architecture design suitable for enterprise environments. With the goal of building AI systems that can actually be deployed in corporate settings, this will serve as a practical guide that balances theory and hands-on experience.

I'd like to show you how to develop a course evaluation website that can be applied anywhere, whether it's high school or college.

A portfolio-focused course on directly deploying React frontend and SpringBoot backend to AWS cloud! This course is helpful for those who want to quickly deploy frontend and backend projects to their portfolio! You'll be able to practice step-by-step in a short period the knowledge needed for deployment, from server setup to Docker, Domain connection, Nginx, and HTTPS implementation!

This course proceeds in stages, similar to the actual work, by learning and applying the necessary knowledge while configuring the infrastructure.

Handling media (video, audio) on the web is now easier than ever! Learn the MediaStream API and WebRTC by following along step by step.