AI Tech DNA Series: Core Computer Fundamentals from an AI Perspective is an introductory course designed to help you understand the basic concepts of computers needed in the AI era in the easiest way possible. It explains fundamental principles such as CPU, memory, storage, networks, and data structures by connecting them to real-life analogies and AI perspectives, building a solid foundation to advance into Python, AI, security, and cloud.

[Reflecting the latest related regulations and guidelines presented by the Korea Financial Security Institute, Financial Supervisory Service, and Personal Information Protection Commission] In the rapidly changing digital financial environment, security has become not an option but a core survival strategy. This course covers the new directions of financial security changing with digital transformation, strategic response methods, and practical approaches to establishing a security culture within organizations. We will examine the policy directions of the Korea Financial Security Institute, the latest regulatory trends, and global security trends together, learning security innovation strategies centered on people and organizations beyond technology-focused approaches.

[Reflecting the latest related regulations and guidelines presented by the Korea Financial Security Institute, Financial Supervisory Service, and Personal Information Protection Commission] This is a course where you learn how an organization's security governance and internal control systems should operate through actual financial security incident cases. You will analyze the causes of incidents and response processes, and based on this, learn effective security policy establishment, risk management, and compliance response methods. The goal is to build security culture and control systems across the entire organization, going beyond technical responses.

What do you learn in the 'Business Information Visualization Certification' course? This certification course focuses on developing the ability to analyze data well, visualize it in an easy-to-understand way, and clearly and effectively communicate the information needed when making important decisions in a company or organization. Simply put, it's a course where you learn the skills to not just look at data, but to discover the hidden meanings within it and express them through pictures, tables, graphs, etc., so you can explain them well to others. Through this course, you will: Develop the ability to think strategically through data, build practical skills that can be immediately applied to actual work, and enhance your professional expertise and competitiveness. Through this lecture, develop the ability to connect business and data, and take one more step toward becoming an expert who understands and explains data.

In an era of explosive data growth and crucial real-time processing, edge computing has established itself as an essential technology, no longer an option. This course is designed to systematically teach everything, from the core concepts of edge computing to deployment strategies for its application in real business environments. Through this course, students will firmly solidify the fundamental principles of edge computing and acquire practical knowledge and know-how applicable to real-world tasks and projects. Take the most certain first step towards becoming an edge computing expert, a core technology in the future IT environment!

Welcome to the R Programming Basics course! This course provides an easy and systematic guide to the core concepts of R programming and practical data handling and visualization methods for those starting out in data analysis. Starting with R installation, it covers data structures, basic syntax, and real analysis cases, aiming to help you successfully take your first step as a data analyst.

The AWS Certified AI Practitioner practice exam course is a core summary program for passing the certification. First, you'll quickly review the fundamental concepts of AI/ML and generative AI, and learn about the features and use cases of AWS's major AI services that frequently appear on the exam (e.g., SageMaker, Rekognition, Polly, etc.). Based on this, you'll practice determining which AI solutions are appropriate for various real-world problem scenarios, and also cover content related to responsible use of AI models and data security. Finally, you'll learn problem-solving strategies by question type and prepare for the exam through practice mock tests. Through this course, you can efficiently prepare for the exam in a short amount of time.

This is an online course where you can learn essential content for certification, from basic concepts of information security to the latest security issues. With theory reflecting the latest exam trends and practical mock tests, you can efficiently prepare for the exam, and it's structured so that even those new to information security can easily follow along.

This course is designed for those aiming to obtain the Data Architecture Semi-Professional (DAsP) certification. It provides a simple and systematic overview of essential exam topics, ranging from basic data architecture concepts to data modeling, data quality, and governance. The curriculum is structured to minimize complex theories and focus on frequently tested concepts, making it accessible for non-majors and beginners to learn without pressure. Build your fundamental skills in understanding data structurally while preparing for the DAsP certification.

This course is designed for those who wish to obtain the nationally certified Associate Data Analyst (ADsP) certification. At a time when there is a need to cultivate practical data analysis professionals in both public and private sectors by objectively verifying data analysis skills essential for data utilization across society, this course is structured to enable participants to develop the necessary competencies and take the qualification exam to obtain the certification.

Computational thinking isn't something that only computer science majors learn. Every profession has problems that need to be solved, and computational thinking can be used to solve those problems.

This course is designed to help students easily understand the concepts of the Internet of Things (IoT) while simultaneously preparing for the IoT Knowledge Proficiency Test certification exam.