AI を活用した製造業分野の実務適用戦略（造船・海運分野）

While studying information security, you've probably had this thought at some point. "Firewall, CSPM, SIEM... I've heard the names, but I'm not sure exactly what they do." This lecture is structured to help those new to information security clearly understand the 'landscape of security solutions'. From the concept, main features, pros and cons, examples, to the latest trends of each solution... Comprising a total of 23 lectures, why not dispel your vague understanding of security solutions right now?

"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.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

This course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

Digital transformation (DX) is not a choice but a necessity. This course serves as the first step in digital transformation for all employees, providing easy and clear explanations from core DX concepts to business innovation cases. Don't fall behind in this changing era—develop the power to grow yourself and lead organizational innovation! Please don't overthink this lecture and take it with a light heart.

The Key to Awakening the Value of Ideas: Intellectual Property Ability Test (IPAT) Core Lecture This course goes beyond simply passing the exam—it's a process of learning practical methods to protect invisible 'ideas,' create value, and ultimately transform them into powerful 'assets.' It eliminates vague notions about intellectual property (IP) and helps you grow into a competitive expert in any field. Have you hesitated to even start studying because of the extensive official textbook? This course does not cover all content from the official National Certified Intellectual Property Ability Test (IPAT) textbook. Instead, it is structured by selecting only the core concepts and high-scoring points that frequently appear on the exam. Longer exam preparation is not necessarily better. The secret to passing is learning only what's necessary, accurately, and through repetition. Discover that secret in this lecture.

"Prepare for the future talent who will lead the AI era, right now!" Artificial intelligence (AI) has now become a core technology that brings innovation to our lives and industries. As various companies and institutions actively adopt AI technology, the demand for related jobs is rapidly increasing, which is also a great opportunity in the job market. However, many people feel at a loss about what and how to prepare to enter the AI field. The "AI Job Roadmap" e-learning course provides systematic and practical job strategies for job seekers, career changers, and non-majors who want to enter the AI field. It summarizes everything about the AI field, from basic concepts to practical projects and job preparation. Through this course, you can build a solid technical capacity in the AI field and complete your own powerful portfolio to grow into a key talent needed in the AI industry.

**"AI Philosophy - Ethics and Challenges in the Age of Artificial Intelligence"** is a topic that deals with the ethical and philosophical exploration of the development of artificial intelligence (AI) and its impact on human society and culture. This topic goes beyond simple technological development and delves into how AI affects human life and what ethical decisions we should make accordingly.

As AI technology rapidly advances, the nature of existing jobs is changing and new opportunities are being created. Accordingly, not only technology-centered jobs such as data analysts, AI engineers, and cloud architects, but also hybrid jobs such as AI ethics experts, digital twin designers, and sentiment data analysts are attracting attention. In addition, creative job groups that utilize technology, such as EdTech experts, digital healthcare consultants, and virtual reality creators, are also emerging. As AI becomes a tool that assists and expands human work, talent with continuous learning ability and creative thinking will become a key factor in achieving success.

The National Certified SMAT (Service Management Ability Test) is administered by the Korea Productivity Center (KPC) and is a nationally certified private qualification aimed at fostering key talent in the service industry. Beyond mere theoretical assessment, it focuses on verifying practical competencies to cope with and manage various situations that arise in real service environments. This lecture provides a core summary of topics that are genuinely important and frequently appear in exams.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

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.

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

Learn how to use OpenCV and process images through a practical implementation of business card recognition. OpenCV is briefly explained, and the OpenCV functions required to implement business card recognition are explained in more detail. In other words, rather than a basic course, it provides an essence for the practical application of business card recognition. It also includes a method of utilizing Tesseract and Microsoft's OCR engine. The source code of this lecture is based on Python, but since you will learn the OpenCV classes and functions used and the image recognition and processing technology, it will not be difficult to apply it to Android and iOS based on this. Those who take the course will be provided with lecture slides and actual business card recognition source code. The lecture contents were further improved and verified through three offline seminars in January and February 2017, and the instructor has carefully recorded them again for online use. These are the OpenCV functions used in this lecture. cv2.Canny() cv2.GaussianBlur() cv2.VideoCapture() cv2.adaptiveThreshold() cv2.approxPolyDP() cv2.arcLength() cv2.boundingRect() cv2.boxPoints() cv2.contourArea() cv2.convertScaleAbs() cv2.createTrackbar() cv2.cvtColor() cv2.destroyAllWindows() cv2.dilate() cv2.drawContour s() cv2.findContours() cv2.getAffineTransform() cv2.getPerspectiveTransform() cv2.getTrackbarPos() cv2.imread() cv2.imshow() cv2.imwrite() cv2.minAreaRect() cv2.namedWindow() cv2.rectangle() cv2.resize() cv2.threshold() cv2.waitKey() cv2.warpAffine() cv2.warpPerspective()

This is an all-in-one lecture where you can learn the entire process from the basics of deep learning/TensorFlow/computer vision to practical applications through a practical vehicle license plate recognition project. Through various practical exercises, you can develop practical skills to apply the latest deep learning models to custom datasets.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

Simply knowing "how to use" generative AI has its limitations. You can only properly utilize AI and integrate it into planning and practical work by understanding the principles. 👉 "Generative AI: Now it's time to understand it from the principles." Start now!

Are you interested in AI but tired of always hearing the same lectures? This is a hands-on project that will teach you how to generate and estimate 3D poses from human images and videos, run real code, and build your own data from images.

Essential certification for the AI era, MS AI-900! 🚀 Did you know? ChatGPT operates exclusively on Microsoft Azure! If you want to properly utilize Microsoft Azure OpenAI, which exclusively provides the latest GPT models, now is the perfect opportunity. Grow into an Azure AI services expert through the AI-900 course and master enterprise-grade AI solutions that companies trust. Secure global official certification and enhance your competitiveness as a true AI professional!

AI is now a common challenge that all generations face. This course explores ways to transform AI into a language of communication and collaboration, transcending the differences in perspective between XYZ generations.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

Artificial neural networks, the core structure of artificial intelligence, were inspired by the structure of the human brain. This course insightfully explores the connection between AI's way of thinking and brain structure, and is a brain-cognitive-based AI principle exploration process for everyone who wants to 'properly' understand AI and apply it to practical work.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

Is AI difficult because of complex algorithms? Actually, the real power of AI comes from 'data'. You need to understand the essence of data to properly handle AI. This is a lecture that explains the roots of AI from a data perspective, covering everything from basic philosophy to perceptrons, CNNs, and data processing and ethics.

AI Solution that maximizes innovation and performance! Your business leaps to a new dimension.