VR, AR Basic Theory and Market Analysis

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

This course is a **practical-focused lecture** that covers how to apply **conversational AI (ChatGPT, etc.)** to actual company work. Beyond simple AI usage methods, it is structured to enable learning of specific cases such as work automation, document creation, idea generation, and data analysis assistance that can be utilized in various departments and job environments. Through this course, learners will master methods to streamline repetitive and time-consuming tasks with AI, and experience smart workflows that collaborate with AI. Additionally, by understanding AI's strengths and limitations, it helps make correct decisions in actual business situations. Upon completing this course, you will be able to utilize conversational AI including ChatGPT as a tool to enhance work productivity, which will serve as an important foundation for securing competitiveness in future work environments.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

This is a basic Rhinoceros 3D tool course in a follow-along format, where you will learn the program's functions while creating various 3D models.

From building a database to creating tables, you can manipulate and change data within the database using various SQL queries.

This course will teach you how to create an EPUB format e-book using Sigil and learn various techniques required for creating e-books.

Learn the fundamentals of Onshape and learn the basics of 3D modeling and CAD.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about database concepts and related terms (tables, rows, columns, etc.), as well as the basic usage of the Notion database.

This course is designed to learn the JavaScript programming language along with the latest ES6 grammar.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

This course is an advanced program that provides in-depth coverage of C# multithreading and asynchronous programming, systematically designed to help you learn concurrency handling techniques frequently used in real-world applications. First, you'll understand the basic concepts of threads and practice creating and managing threads, learning to precisely control thread states and behaviors through various thread methods, ThreadState enumeration, and Flags properties. Next, you'll practice the differences and use cases between **Interrupt() and Abort()**, and learn how to reliably implement thread synchronization using **lock keywords and Monitor class (Enter, Exit, Wait, Pulse)**. Additionally, you'll cover asynchronous programming techniques essential in modern development environments, practicing parallel programming using Task and Task<TResult> classes, and the Parallel class. Finally, through async/await keywords, you'll understand the differences between synchronous and asynchronous code and gain experience applying more efficient asynchronous processing methods to projects. Through this course, learners will acquire the ability to develop high-performance applications using multithreading and asynchronous programming, and gain confidence in solving concurrency issues and implementing efficient programs in real-world scenarios.

This course focuses on learning the fundamental concepts of algorithms using the JAVA language, with an emphasis on simultaneously developing programming thinking skills and problem-solving abilities. Additionally, it systematically covers the large-scale application development procedures used in corporate environments, allowing students to learn the analysis and design processes required in practical work. Through this, learners can go beyond simple coding abilities to become familiar with the overall system analysis and design process and strengthen their practical application skills. By learning step-by-step from basics to practical procedures through this course, students can build a foundation for growing into developers, system engineers, and IT planners.

This course is designed to simultaneously develop both fundamental theory and practical application skills needed to proficiently execute AI modeling projects in real-world settings. Learners will understand the overall flow of AI projects and experience step-by-step processes through hands-on practice: problem definition → model design → data acquisition and preprocessing → feature extraction → model training and validation. Additionally, by learning how to select and manage optimal AI models in various situations, learners can build practical AI capabilities that can be applied to actual business environments. Through this course, learners can systematically understand the entire AI modeling project process and strengthen their data-driven problem-solving abilities based on this foundation.

This course is a step-by-step learning program that covers network programming from fundamentals to hands-on practice. First, we examine the origins and development of the Internet to understand how today's network environment was formed. Next, we learn the structure and operating principles of the TCP/IP protocol, which is the core of networking, to build a theoretical foundation. In the practical stage, we implement actual network communication using the Socket class, TcpListener, and TcpClient classes provided by C#, and experience client-server architecture. Through this, you can understand the actual data transmission and reception process and network connection procedures beyond simple theory. Finally, we visually implement network programs by creating user interfaces (UI) using WinForm. We practice enabling connection, message transmission, and reception through button clicks, developing the ability to create network application programs that can be utilized in real-world environments.

This course is a lecture that teaches C# Windows Forms (WinForm) application development step by step from basics to hands-on practice. First, you will understand how Windows Forms applications work and learn the structure and usage of WinForm classes and Application classes. Through this, you will become familiar with the execution flow of applications and build a foundation through actual code practice. In the following lessons, you will design forms using the form designer tool and implement **user interfaces (UI) utilizing various controls** such as buttons, text boxes, and labels. Rather than stopping at simple UI composition, you will develop the ability to create programs applicable in real work by adding event handling and interactive features. Additionally, you will practice asynchronous task processing methods in the WinForm environment and learn techniques to simultaneously improve application performance and user experience. Through this course, learners can solidly build the fundamentals of desktop application development in Windows environments and acquire WinForm programming capabilities applicable to real work.

Introduces the workflow integration between After Effects CC 2017 and CINEMA 4D and learn related features.

Django is a Python-based web application framework. In Part 1, you will learn about Django and create web applications.

Create an augmented reality AR app in the new SwiftUI environment. Create your own Snow app using ARKit, RealityKit, Core ML, etc.

Implementing AR Augmented Reality Apps with Simple Coding

The XR market, with Google and Samsung joining after Apple and Meta, allows you to get ahead if you start now. In this lecture, we'll make an XR sports game app with Unreal Engine 5 and Meta Quest3, no code required.

This is a lecture on learning various VR technologies based on the Unreal Engine. You can learn Unreal-based VR technologies that have not been released anywhere.