Successful DX/AX Strategies - From Concepts and Case Studies to Practice

This is a machine learning lecture written in easy-to-understand language, like a story, without any formulas—tailored perfectly for those who are humanities students to the core!

Understand the essence of the job market through economic and statistical concepts, and redesign employment and career-change strategies as data-driven probability problems rather than relying on intuition or "spec" (credentials) competition. Instead of simply accumulating more credentials, this strategy shifts the "playing field" to a rational recruitment market by using AI to directly collect and analyze job postings and corporate data to select markets and openings with a high probability of success. By utilizing AI as a tool built upon core economic and statistical concepts, we systematize document, interview, and application strategies, presenting a way for even non-majors to develop a data-driven employment mindset. Furthermore, we provide a method for non-majors to directly implement a 24-hour AI recruitment assistant—which can be used immediately as a portfolio piece—through AI-based "Vibe Coding."

As the only hands-on course in Korea where you can experience Generative AI, Vibe Coding, and DX/AX all at once, it provides motivation and a vision for how non-majors can utilize AI technology for development in actual business and daily life. Rather than simple theoretical explanations or introductions, it helps you expect practical career improvement by providing opportunities to complete portfolios closely related to real-world tasks and practical automation projects. It is a course that even beginners can easily follow, from tool installation to actual service creation.

A lecture on practical blog operation using AI tools, condensed from 20 months of experience! It offers step-by-step utilization methods from topic selection to content creation with Perplexity, ChatGPT, and Midjourney.

From search to insights, complete your AI research workflow with Perplexity! A practical generative AI curriculum that masters the flow of information discovery.

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.

No development knowledge needed! Create your own automation system in just a few clicks.

Learn how to dramatically boost work productivity by automating the most frequently used MS Office tasks in your work using chatGPT.

Diagnose the future of my work and learn how to grow together with AI What we need now is the power to read the future of my work! In the midst of industrial restructuring and technological transformation trends, we'll specifically tell you from a job function perspective what changes are coming to your work now and how you can prepare for them.

Are you using AI but still typing new prompts every single time? Code is being generated, but are team-level automation and systematization still out of reach? This course is not about learning Claude Code as a "conversation tool." It is a course where you will learn how to design AI as a system using Agents, Sub-agents, Agent Teams, Memory, and Hooks.

Repetitive tasks like organizing Excel sheets, sending emails, and categorizing receipts… Are you still doing them manually? Now, leave those tasks to n8n and AI, and focus on what really matters. This course is designed to help anyone implement workflow automation using n8n—a tool that requires no coding—and apply it directly to real-world tasks. In just one hour, you will implement automation from A to Z yourself. Instead of a long 10-hour lecture, we give you only the essential core! To save your time, we focus solely on practical, real-world workflows.

[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.

You can now watch the online version of the offline meetup where Jae-kyu Lee—developer of the open-source Agent OS 'Ouroboros,' which quadrupled its GitHub stars in just three months—shares design principles gained from directly integrating and dismantling eight coding agent runtimes!

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 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.

"AI will not replace people. People who master AI will replace those who rely on it." In the era of AI, where creating results has become easier than ever, human thinking and problem-solving skills are becoming even more critical. Jae-sung Kim, a former McKinsey consultant, will guide you step-by-step through advanced problem-solving skills using AI, powerful research strategies, and persuasion techniques to turn your results into reality.

How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

[Up-to-Date Knowledge for Current Times] 1. Changes brought by AX, ChatGPT, and robot technology. 2. Commonalities of Blockbuster-Kodak Film-Nokia. 3. Five Current AX Keywords. - OOOO coin to maintain dollar hegemony. - Musk's OOOO to cut government operating costs. - Trump's OOOO strategic reserve. - China's OO kindergarten, OO receiving private education. - China's OO factory, with no workers, OO is no longer needed. 4. ChatGPT/Gemini/Grok - Write prompts based on previously learned content and compare results - Generate images with Claymotion infographics

Reading the Standard of Digital Money — A New Financial Order Opened by Stablecoins In the uncertain digital asset market, stablecoins—the only assets that function "like real money"—have already emerged as a core part of the global financial infrastructure. This provides essential, condensed knowledge for professionals who want to be at the forefront of understanding the paradigm shift in the digital economy.

We will examine the major OT security threats that can occur at production sites in the food and pharmaceutical industries, focusing on real-world cases. You will understand what security issues can arise in smart factories, production facilities, quality control systems, and traceability management processes, and learn basic response methods to prevent production shutdowns and data falsification in a way that is easy for beginners to follow.

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.

In the era of smart factories and autonomous driving, is our production line truly safe? The remarkable advancement of Artificial Intelligence (AI) has brought innovative productivity and efficiency to the automotive manufacturing industry, but it is simultaneously creating unprecedented security threats to the Operational Technology (OT) environment within factories. This lecture breaks down "OT Security"—which can often feel vague and difficult—in a clear and easy-to-understand manner through vivid, real-world examples from the automotive industry.

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.