Cursor AI Introduction to Building Real-World Websites

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 is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

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 is a test preparation course to obtain the MOS Excel 2016 Expert certification.

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 is a lecture on Rhino 3D, which is a basic tool for product design.

This course is a foundational learning program that covers Introduction to Information and Communication Technology, one of the core theories in computer engineering. Through this course, learners can understand the basic structure and operating principles of computers, and learn the principles and applications of information and communication technology based on this foundation. The course is structured to provide comprehensive learning from the processes of information generation, transmission, processing, and storage to data communication methods in network and internet environments. In addition to the basic concepts of information and communication technology, by understanding the trends and roles of information and communication technology utilized in real life and across industries, this course provides a solid theoretical foundation for learners who are first entering the fields of computer engineering and information and communication technology. 👉 By taking this course, learners can build a fundamental foundation in information and communication technology that encompasses computers and networks, and further utilize it for advanced learning or preparation for related certifications.

This course covers practical MS Word tips that can be immediately applied in the workplace. Beyond simple document creation functions, it provides various practical know-how to enable efficient and professional document work. You can learn practical skills that will increase work efficiency, such as document editing, formatting, paragraph and table utilization that are frequently encountered in the workplace.

Learn about word processor writing and practical skills by looking at the provided lecture materials. It consists of a summary of key points that you must know to pass the exam and solutions to past exam questions.

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

You can obtain a certificate by learning and utilizing basic knowledge about software development, the second subject of the Information Processing Engineer written test.

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

You can obtain a certificate by learning and utilizing basic knowledge about software design, the first subject in the written test for the Information Processing Engineer exam.

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

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.

This is an assembler course provided by Smoothie TV.

This is a series of video lectures for AWS beginners and college students enrolled in AWS Educate. We will briefly introduce the AWS registration process and free tier services.

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

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!

Perplexity AI Research Workflow: From Search to Insight! Generative AI Practical Curriculum: Mastering Information Flow

This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.

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.

The shipbuilding and maritime industry is a representative field of traditional heavy industry, but it is securing new competitiveness through the combination of digital transformation and artificial intelligence (AI) technology. This course is structured around specific application cases actually used in the field, such as AI-based shipyard production management, ship design automation, maritime logistics optimization, and predictive maintenance system construction. With a field-centered approach, you can understand not just simple theory but **'how AI actually works in shipyards'**. Additionally, it covers data infrastructure construction, model training, and constraints specific to the marine environment that must be considered during the AI technology implementation phase.

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.

[Problem-Solving Q&A with McKinsey Alum Jaesung Kim: We'll Solve Your Problems Together] Required! Prerequisite Course: Problem-Solving & Research Masterclass with AI by McKinsey Alum Jaesung Kim https://inf.run/LmvrD 'Forget theory-only lectures!' A magical solution video that solves real practical problems instantly on the spot! This is a video series where Jaesung Kim, a McKinsey alum and AI expert, meets with individuals one-on-one in a Q&A format to structure and solve your problems. From career paths and minor concerns to massive topics like AI that's shaking the world and improvement directions for entire industries! Videos will be uploaded in a format where each episode can be purchased individually. Paid course students will have the opportunity to participate through quarterly drawings of selected participants! (The more diverse courses by Jaesung Kim you take, the higher your chances of winning!) [Concept] This is a one-on-one Q&A format where an industry expert and strategy expert meet to approach the answer together. Participants have been extremely satisfied. (You can see and hear this in their testimonials!) The key to this video series is that strategy expert Jaesung Kim doesn't receive the topic in advance, but through strategic questioning and answering, they get closer to the solution together. Without relying on intuition and experience, but based on strategy and structuring, experience the magical solution that naturally makes you go "This actually works?" hahaha The free version (~10 minutes) will be available to everyone, and the full version will be available to Inflearn course students or YouTube channel [Jaesung Kim's Problem Solving] 'Premium Membership' subscribers. If you'd like to participate, please send an email to jaesung_kim@jcurvepartners.ai with the subject line [Coffee Chat Application] In the email, please include your name, age, contact information (mobile number), occupation and years of experience (students are welcome), detailed reasons for applying, and attach a screenshot of your enrollment in Jaesung Kim's Inflearn courses. Winners will be contacted. (Personal information of non-winners will be immediately discarded after 3 months) When appearing in the video, using a pseudonym or not revealing your company name is possible, but if you wish for face blurring, voice modulation, or other modifications, participation is not possible. By consenting to video recording, you are considered to have agreed that the video may be reprocessed and used on Inflearn and Jaesung Kim's YouTube channel.

An introductory AI lecture tailored for those new to AI! Key concepts, from data to generative AI, are simply explained. The goal is practical understanding, enabling you to question and explain AI, not build it.

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

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 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.

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.

Build barrier-free work experience through AI zero-capital entrepreneurship in just 2 weeks

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

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).

AI, the Key to Opening the World of Statistics "AI, by enabling easy mastery of complex statistical principles and analysis techniques, uncovers hidden meanings in data and provides insights for better decision-making. AI is now beyond a complex statistical calculator; it is a companion supporting statistical thinking."

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.

[McKinsey Alumni Kim Jaesung's Problem-Solving Q&A: We'll Solve Your Problems Together] Required! Prerequisite Course: McKinsey Alumni Kim Jaesung's AI-Powered Problem-Solving & Research Special Lecture https://inf.run/LmvrD 'Theory-only lectures, step aside!' A magical solution video that solves real practical problems together on the spot! This is a video series where Kim Jaesung, a McKinsey alumnus and AI expert, meets with each person individually in a 1:1 Q&A format to structure and solve your problems. From career paths and minor concerns to massive topics like AI that's shaking the world and improvement directions for industries as a whole! Each video will be uploaded for individual purchase. Paid course students will have the opportunity to actually participate through a quarterly lottery drawing! (The more of Kim Jaesung's courses you take, the higher your chances of winning!) [Concept] This is a 1:1 immediate Q&A format meeting with individuals, with the concept of industry experts and strategy experts coming together to approach the right answer. Participants have been extremely satisfied. (You can see and hear this in their testimonials!) The key to this video series is that strategy expert Kim Jaesung doesn't receive the topic in advance, but through strategic questioning and answering, we get closer to the right answer together. Experience the magical solution that naturally elicits the reaction "This actually works?!" lol, based on strategy and structuring rather than relying on intuition and experience! The free version (~10 minutes) will be available to everyone, and the full version will be available to Inflearn course students or YouTube channel [Kim Jaesung's Problem Solving] 'Premium Membership' subscribers. If you wish to participate, please send an email to jaesung_kim@jcurvepartners.ai with the subject line [Coffee Chat Application] In the email, please include your name, age, contact information (mobile phone number), occupation and years of experience (students are welcome), detailed reasons for applying, and attach a screenshot of your enrollment in Kim Jaesung's Inflearn courses. Selected applicants will be contacted. (Personal information of non-selected applicants will be immediately discarded after 3 months) When appearing in the video, using a pseudonym or not revealing your company name is possible, but if you wish for face blurring, voice modulation, or other modifications, participation is not possible. By consenting to video recording, you are deemed to have agreed that the video may be reprocessed and used on Inflearn and Kim Jaesung's YouTube channel.

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.

"AI will not replace people. Those who master AI will replace those who depend on AI." In the AI era, an age where results can be produced more easily than ever, human thinking and problem-solving abilities become even more important. Kim Jae-sung, a former McKinsey consultant, will guide you step by step through problem-solving skills that put you ahead with AI, powerful research strategies, and persuasion strategies that turn results into reality.

In the generative AI era, anyone can use it, but those who use it well are different. For those new to GPT, Gemini, and Claude, you will fully understand the world of AI through 100 practical prompts that you learn by actual input.