Artificial Intelligence (AI) - Learning Soundraw AI that creates music (composition) with artificial intelligence

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this lecture, you will learn about Python, variables, data types, conditional statements, and loops.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this course, you will learn about files and exception handling, built-in functions, sorting and searching, lambda expressions, iterators, generators, operator overloading, modules, and threads.

Python with easy and intuitive grammar! Learn Python, a renowned introductory programming language, from the basics to practice! In this lecture, you will learn Python functions and lists.

It contains only the essentials required to obtain the SQLD certification. This is a learning process that will help you acquire the SQLD certification by solving various examples directly, starting from setting up the development environment and building your skills.

This course is for those who are new to After Effects, and explains the overall usage method focusing on the most basic contents, and learns the basic process of motion work through simple tasks.

It contains only the essentials required to obtain the SQLD certification. This is a learning process that will help you acquire the SQLD certification by solving various examples directly, starting from setting up the development environment and building your skills.

It contains only the essentials required to obtain the SQLD certification. This is a learning process that will help you acquire the SQLD certification by solving various examples directly, starting from setting up the development environment and building your skills.

It contains only the essentials required to obtain the SQLD certification. This is a learning process that will help you acquire the SQLD certification by solving various examples directly, starting from setting up the development environment.

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

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 1, you will solve problems on the topics of variables, data types, operators, conditional statements, and loops.

Through this course, you can study short answer and descriptive questions from past practical exams for the Information Security Engineer.

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

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 a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

Computerized Accounting Level 2 is a nationally recognized certification that evaluates the ability to understand and utilize accounting information. This course aims for passing the Computerized Accounting Level 2 exam by utilizing the KE-LAB program supervised by the Korean Institute of Certified Public Accountants. It is structured to enable systematic learning from the basics of accounting principles to practical program utilization methods, making it easy for complete beginners with no accounting knowledge to follow along.

This course is a hands-on lecture that covers the basic usage of the Cursor AI tool and how to apply it to actual website creation. Learners will understand the AI-based development environment and experience code writing and automation features using Cursor. The curriculum is designed not just to teach the tool's functions, but to help students develop practical skills through an actual website production project. Furthermore, it covers essential elements frequently used in website development—such as HTML, CSS, and JavaScript—along with efficient development methods using AI assistance, making it easy for beginners to follow along. By taking this course, learners will gain the ability to quickly implement ideas and complete websites using Cursor AI, which will serve as an excellent first step in adapting to the latest development environments.

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

You can learn the basic functions needed for 3D effects and motion graphics work in the Maya 2020 version. (Part Four)

You can learn the basic functions needed for 3D effects and motion graphics work in the Maya 2020 version. (Part 3)

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

This course is a hands-on program that covers everything from the basics of understanding and utilizing AI platforms to AI image generation technology. Learners can master the fundamental concepts and tools of AI and develop the ability to generate AI images using these skills. The course is designed to be easily accessible even for learners who are new to AI technology, providing an opportunity to quickly master AI image generation techniques that can be applied in real life.

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

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 course is a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.

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.

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 Fourth Industrial Revolution, AI factories... The terms are familiar, but can't you visualize the structure?" Smart Factory, often called the future of manufacturing. While related articles pour out and it appears as a required competency in job postings, the barrier feels far too high for non-majors. "Did you give up because of abbreviations that sound like alien languages, such as PLC, MES, or ERP?" "Are you afraid to even start because you lack knowledge in coding or engineering?" Don't worry. This lecture deals with 'structure,' not 'engineering.' Instead of complex text, we will help you complete a full map of the smart factory in your head using intuitive drawings and diagrams, just like assembling Lego blocks.

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

We'll show you specifically how to work with AI at actual advertising agencies, including strategy development, reference collection, prompts, and practical implementation methods.

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

See exam types and trends at a glance! Strengthen your practical skills with approximately 100 questions. The perfect preparation for the AWS AI Practitioner exam, allowing for systematic study even when preparing on your own.

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

Are your colleagues already working with ChatGPT while you're still doing everything manually? Don't worry! After taking this course, you'll become an AI expert too.

The ultimate video editing powerhouse 🟪 Learn Premiere Pro and 9 AI services while creating 5 real-world projects to become a high-quality AI Shorts creator upon course completion 🔥 Don't learn from beginners—learn from an expert 😎

This course is a practical training program that utilizes various generative AI tools such as Napkin AI, Gamma AI, Felo AI, Imagen 3, and Suno AI based on ChatGPT to automatically generate and utilize content needed in real office environments. It focuses on multimodal content creation capabilities including report summarization, presentation composition, image generation, and music production, and includes hands-on practice of application cases for each task that leverage the characteristics of each tool.

This is the second lecture in the [Python for AI] series. It's a lecture that provides practical exercises used in machine learning and deep learning, alongside Python grammar.