Get hired through entrepreneurship

Learn winning resume principles & know-how and get resume coaching with ChatGPT.

- The definitive guide to landing IT jobs at public institutions, proven by 187 successful candidates 🏆 "The ultimate roadmap for turning six months of uncertain preparation into confidence" 🚀 We have condensed the hands-on expertise of the “Job-Hunting Bombardier,” which has produced successful candidates at 89 major public institutions and large corporations, into a single course. 1. Overwhelming Results (Proven Track Record) 🥇 Total successful candidates: The story of 187 final hires (as of '26.5) Institutions joined: 89 major institutions nationwide, including the Bank of Korea, Financial Supervisory Service, Incheon International Airport Corporation, and Korea Securities Depository Core value: NO mere theory! Strengthen “job-focused expertise” proven through real success data 🎯

A Non-Major Developer's 5-Year Journey: A Guide to Reducing Time and Trial and Error

Understand the difference between Copilots and Agents, and create Agents you can use immediately in your work, such as prompt coaches, translators, and internal regulation Agents. Maximize work efficiency by solving time-consuming problems like repetitive tasks, document organization, and meeting management with customized Agents that even non-experts can build.

[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.

[Problems This Course Solves] - The limitations of planners who have ideas but cannot build them directly - Inefficient decision-making based on imagination: "Please make it like this" - Bottlenecks caused by requesting and waiting for the development team for every data analysis or API verification - The reality of using AI tools but remaining at the level of simple ChatGPT Q&A [What You Will Learn] 1. Redesigning the Planning Process in the AI Era - Traditional: Planning → Design → Development (Sequential waiting) - Shift: Writing PRD → Generating Prototype → Decision-making based on the actual product → Delivery after confirmation - Moving from planning explained through documents to planning demonstrated through actual products 2. Designing AI Agents for PMs - Harness Engineering: Designing a working structure rather than just asking AI questions - CLAUDE.md, Rules, Hooks, MCP, Plugins — The roles and design principles of each layer - Agent Router: A structure where a single request is automatically assigned to the optimal agent - PGE Pipeline: Planner → Generator → Evaluator, quality control design for large-scale tasks 3. Building Your Own AI Team - Planning/Research, Product, Design, Development, Marketing — 20+ agents across 5 columns - Actual workflows where a solo planner manages a team of experts - Connecting external tools via MCP (Notion, Figma, Slack, data sources) - Automating repetitive tasks with one-command "Skills" 4. Practical Automation of Supplementary Tasks - GA4 + Clarity + GSC + BigQuery → Integrated dashboard + automatic weekly insight generation - Direct calling of in-house APIs → Scenario verification → Quality evaluation reports - BigQuery cohort analysis → Aha Moment hypothesis verification - A/B testing, Notion synchronization, UI/UX audit automation --- Who should take this course: - PM/PO/Service Planners tired of waiting times and review cycles in the planning process - Those who want to properly design AI as a professional work tool - Those who want to make data-driven decisions themselves but lack analysis team resources - Non-developers who want to move past their fear of the "terminal" [Prerequisites] - None. We guide you through everything from installation to setup. - No coding experience required. We focus on design and application from a PM's perspective. [Changes After Taking the Course] - Increase decision-making speed by creating working prototypes directly from a single PRD.md - Design and operate your own team of AI agents - Directly automate data analysis, API verification, and report generation

Build customized solutions ready for immediate use in sales and customer service through “vibe coding,” a technology that lets you create business tools by describing the desired functionality in words without typing a single line of code. Learn practical techniques for completing repetitive tasks—such as writing proposals and quotes, replying to emails, and organizing handovers—in just 10 minutes by conversing with AI. Create a practical app with automatic quote calculations and PDF saving, then master the complete workflow by deploying it to a publicly accessible URL and sharing it with your team or customers with one click.

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

Practical Essential Skills for AI Use, Prompt Engineering Learn key skills to boost work productivity and business competitiveness with accurate, proper prompts.

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

Sharing basic knowledge on SDV, AUTOSAR, UDS, quality assurance frameworks, VTA, and latest technology trends for those preparing for careers in the automotive industry (SW and R&D).

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.

"Simply knowing technology well does not make you a good sales engineer." Understanding customers’ problems, connecting technology to business value, and exerting influence between sales and development are the core responsibilities of a sales engineer. In this course, drawing on more than 20 years of B2B software presales experience, I will systematically share practical know-how on customer meetings, requirements analysis, demos, PoCs, proposal strategies, and internal collaboration. Learn the work frameworks and mindset of a sales engineer that you can apply immediately in practice.

Build a Saju (Four Pillars of Destiny) analysis AI agent that integrates Manseryeok, Astrology, Zi Wei Dou Shu, Onomancy (Name Study), and MBTI using n8n workflows and Python algorithms. We will complete a production-level service system from start to finish where 13 specialized agents collaborate to generate professional-grade Saju reports.

Notes keep piling up, but work only gets busier. Structure your notes with Obsidian and transform your workflow to be faster and easier.

An essential lecture for those who want to become product designers or are preparing for UX employment/career changes! Based on real-world experience, I will guide you through everything from project selection to slide planning and design to help you create a portfolio that demonstrates problem-solving skills.

I will tell you the "formula" for creating 챗GPT prompts. If you apply only this formula, good prompts will pour out.

What if you could hand over those repetitive tasks you've been stuck with all day to an AI assistant? Introducing a guide to building your own AI work assistant—not a GPT chat that requires a fresh explanation every time, but one that remembers you, works in your style, and even reports back via Slack. From installation and Slack integration to skill setup, Notion/Calendar/Email automation, and even security and cost management! Complete an AI work system you can use immediately at the office, with a step-by-step approach that anyone can follow even without coding knowledge. Point 1. Set up a "Personalized AI Assistant" that remembers you, unlike standard GPT chats - Build the basic AI assistant environment by following steps from OpenClo installation to Slack integration. - Create an assistant that works according to your professional style by setting its personality and rules. Point 2. Master practical automation patterns to reduce repetitive tasks - Connect with actual work tools like Notion, Calendar, and Email by installing skills. - Practice immediate automation for tasks such as morning briefings, writing work logs, sending emails, and managing schedules. Point 3. Complete an AI work system that can be used safely in the workplace - Review essential checkpoints for professionals, including permission management, security settings, and cost control. - Learn how to expand from a single AI assistant to a multi-agent work system.

Are you using code written by AI without even knowing what it does? It’s not enough for it to simply work—you need to make it perform well, yet when asked, “Why did you implement it this way?” you find yourself at a loss for words. The source of that frustration is a lack of fundamental CS knowledge and an understanding of how GPUs work. Through this course, you will learn the principles applied to CPUs and GPUs, along with the relevant CS knowledge, enabling you to control AI and give it instructions effectively. You will also be able to avoid being replaced by AI at your current company or when seeking employment or changing jobs, and earn a higher salary.

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.