Understanding IT Terms and Structures Used at Work in One Go

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.

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.

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.

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!

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.

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.

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 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.

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.

"Nationally Certified Industrial Security Manager" New Renewal Version Final Update Completed!! This course is designed to help you obtain the Nationally Certified Industrial Security Manager certification by providing a systematic understanding of industrial security from a management perspective. Rather than focusing on rote memorization, the content is structured so that even non-security majors can understand the concepts, structure, and flow of industrial security. It is designed not only for exam preparation but also for practical application and career expansion.

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!

"Vulnerability Analysis Techniques Revealed by the Byte Detective: Practical Understanding and Diagnostic Strategies" covers the process that goes beyond security basics to connect vulnerability discovery → analysis → diagnostic strategy development in real-world environments. This course breaks down difficult security concepts in an easy-to-understand way for beginners, and is structured with procedure-focused, example-driven, and case-based explanations that can be immediately applied in practice. This course will help security personnel, IT practitioners, and those preparing for careers in the security field develop core principles of vulnerability analysis and practical expertise.

You will understand the present and future of AI technology, experience the testing process of AI models such as machine learning, and learn the role of a tester. You will gain a broad range of knowledge, from establishing AI-based system testing strategies to designing and executing test cases, as well as utilizing AI for test support. This course is based on the ISTQB AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.

You can benchmark manufacturing innovation methods for semiconductors and run machine learning and deep learning with semiconductor data without coding.

You can learn about the basic structure and operating principles of computer hardware, design methods, and OS, and acquire the knowledge necessary to create good programs.

This is a 'Practical Linux Troubleshooting Course' where you analyze and solve problems together with generative AI, based on a Docker practice environment that reproduces 5 representative failures that occur in actual Linux operating environments. Even those who were overwhelmed about where to start examining problems can learn the problem-solving approach and thought process of field engineers through AI guidance.

Navigate the data ocean, explore AI's future. This course explores the vast tech currents of Big Data and AI, examining their innovation in our lives and work.

The Master Guide to AI for Java Developers! This course shatters the prejudice that AI is the exclusive domain of Python and empowers your Java applications with AI-driven eyes, ears, voice, and even coding capabilities. Grow into an AI Architect based on the OpenAI API. You will directly develop various AI experts such as an AI writer, translator, artist, and coding companion. You will also build a multi-functional AI assistant that integrates core features including text summarization, sentiment analysis, image description, Java code generation, speech-to-text/text-to-speech conversion, and image/subtitle generation. This is a golden opportunity to maximize the competitiveness of existing Java systems by learning how to assign AI roles through system messages and even implement harmful content moderation.

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

Based on over 100 deep learning training sessions, this course systematically organizes the core foundational theories that students found most challenging. The course connects mathematical intuition, model learning principles, and code implementation step by step in a way that even non-majors can understand, deeply covering the fundamental structure and operating principles of how AI models learn, rather than just library usage. This is a practical introductory course designed to help you grow into a skilled engineer who understands AI principles by implementing core deep learning foundational technologies such as gradient descent, loss functions, optimization, perceptrons, multilayer neural networks, and backpropagation through both formulas and code.

Have you learned C++ and Java separately but felt confused about why they were designed differently? This course compares both languages simultaneously, helping you fully understand object-oriented structure, memory, and operational principles. Beyond simple syntax, you will gain a deep understanding through hands-on practice of: ✔ Compilation structures ✔ Memory model differences ✔ Internal workings of inheritance and polymorphism ✔ Virtual tables and JVM architecture Additionally, we provide a 'Python-based code comparison auto-generator tool' to help you visually understand the conversion structure between C++ and Java. We will elevate your skills from simply "using" object-oriented programming to a level where you can "design and explain" it.

Through this lecture, you'll be able to learn about the AI graduate school admission process and preparation methods from start to finish! I'll also share some great tips to increase your chances of getting accepted!

This course is a hands-on masterclass that completely conquers the evolution of Diffusion Models through papers and code implementation. You'll learn the core models of generative AI, including DDPM (Denoising Diffusion Probabilistic Model) and DDIM, by studying the paper principles and implementing them directly. We analyze step-by-step the background of each model's emergence, mathematical formulations, network architectures (U-Net, VAE, Transformer), training processes (Noise Schedule, Denoising Step), and the ideas that led to performance improvements. Students will directly code all models using PyTorch, gaining not just paper comprehension but 'practical skills to reproduce and apply' them in real-world scenarios. Additionally, by comparing the differences between models and their developmental flow, you'll clearly understand how they expand and evolve. This course integrates theory, code, and practice into one comprehensive journey, providing researchers, developers, and creators alike with a systematic way to master the evolution of generative models. Beyond simply 'reading' papers, start your experience of 'understanding and recreating' through direct implementation now.

“Security solutions are numerous, but why can't threats still be stopped?” “Tools are overflowing but not interconnected, Warnings are pouring in, but aren't you missing what's truly important?” Now is the era when not just simple defense, but proactive and active 'action-oriented security' is needed. At its core is Microsoft's unified security. From ID, devices, apps, cloud, to infrastructure, connecting all security elements into one, AI detects, assesses, and eliminates threats in real time. Microsoft Security is not just a 'defense solution' but a real-time response system that protects the entire enterprise. Now, don't regret it after an incident occurs. Start security 'in advance', 'proactively', and 'smartly' with the Microsoft unified security platform, starting today.

This is a C programming course for those who wish to pursue a path as a professional developer rather than just a hobbyist. I recommend this to those who are willing to learn through bitter and rigorous study to reach a sweet destination!

You can transform your ideas into beautiful presentations in just a few minutes. No more spending hours struggling with slide design. With GAMMA's AI technology, you can dramatically improve your content creation process.

The author of "Learning the Structure and Principles of the Linux Kernel Through Debugging" provides a thorough explanation of core process concepts in the latest Linux kernel (v6.1), which is most widely used in system software.

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.

This is Part 1 of a roadmap lecture that concisely organizes the essential computer science (CS knowledge) needed to excel in development and data, in a short period. This lecture has also been used as an in-house lecture at top domestic companies for several years. Based on 20 years of experience in actual practice, from system SW to web, app development, and data science, this lecture systematically yet easily organizes the essential core knowledge needed to excel in development and data.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)