Information Strategy Plan (ISP) Establishment Practice

Through this lecture, you will learn about information system audit procedures and methods.

Are images acting up again? Pixelation, partial cropping, distortion, loading delays, multi-platform compatibility issues, etc. are actually design issues. Image issues, prevent them early on.

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.

This is a practice-oriented course focused on redesigning the rhythm of problem definition, selection, and execution, rather than just feature development. It is designed for working POs/PMs, Lead PMs, and those considering internal organizational training.

We will examine methods for collecting and analyzing user requirements to plan LLM services.

Software quality is a habit! This course will teach you how to become the best programmer that companies want.

In this lecture, we will look at service planning and design methodologies for planning services in the IT/tech field, as well as various soft skills that service planners must have. Finally, we will analyze the service using the example of an AI voice recognition service, a UX service introductory lecture for beginners.

A must-have course for designers, service planners, and PMs who want to do their jobs better! We will teach you what you need to know for each digital product, industry, and user journey based on real-life cases.

Instead of just "studying" SQL or Python, you will learn how to ask the essential questions needed for your service/business growth right now and immediately extract everything from analysis to insights and execution strategies. While working as a tech lead and taking on the role of a PO, I found a need for growth data analysis, and by applying this method to actual work, I significantly improved the speed of decision-making and execution. In this course, I have organized everything—from question templates used in the field to deriving actions through funnel, conversion, and churn analysis—so that you can apply it just by following along.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual full-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Furthermore, through this course, non-computer science majors or those with a background in the humanities can develop the ability to communicate easily with professional programmers. Even in an age where learning prompts for "AI vibe coding" is necessary, computational thinking will help you develop the ability to instruct AI more accurately and effectively.

This course explores microservice architecture and distributed environments not as a simple list of technologies, but from a 'design perspective' required in actual work and interviews. Starting from the differences between monolithic and MSA, it progressively covers incremental migration strategies, modular monoliths, clean architecture and hexagonal architecture, clearly explaining why each choice is necessary and the trade-offs involved. Through hands-on practice, you can directly verify the intent of the structure and learn about core issues inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and failure handling—through realistic scenarios. Based on actual questions and perspectives from Kakao interviewers, this course aims to go beyond simple knowledge acquisition and elevate your way of thinking about distributed systems to the next level.

Learn common components of global-scale services through popular papers, books, and articles.

This course provides UX principles and practical know-how necessary for planning and designing AI products. We will explore user-value-centered AI utilization methods, UX planning and design methods using AI, core UX principles and theories learned through everyday design cases, and UX research and data analysis methods for providing a better experience.

This lecture covers what makes 'companies where money accumulates structurally' different, and delves into the essence and structure of business that entrepreneurs and investors must know. It dissects a company's money-making system, focusing on the three axes of profitability, growth, and sustainability, and is designed to foster practical analytical skills and investment acumen through real-world case studies. This is a practical lecture where planners, startup founders, CEOs, solo developers, and investors can systematically learn the strategic thinking essential for all.

In the age of information overload, 'communicating easily' is now the real competitive advantage over 'knowing a lot.' This course goes beyond simply polishing your writing—it develops your 'communication design ability' to identify the core message in a flood of information and deliver it at the right level for your audience. It consists of a compact curriculum of 7 lessons totaling 56 minutes. Say goodbye to boring lectures filled with theory! Through training centered on real-world examples (Before/After), you'll transform into an 'information delivery expert' who communicates best within your organization.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual one-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Additionally, through this course, non-computer science majors or those with a humanities background can develop the ability to communicate easily with professional programmers. Even in an era where learning prompts for "AI vibe coding" is necessary, computational thinking allows you to develop the ability to instruct AI more accurately and effectively.

# Silicon Valley Internship That Won't Get Cut Even in the AI Era & Complete Course on 30 Big Tech System Designs & Open Source Practical Contributions All students who submit course missions can apply for an AI startup internship in Palo Alto, USA, with exemption from document screening and guaranteed interview opportunities. This course involves designing and scaling 30 real-world system designs based on big tech cases including Netflix, Tesla, Meta, and Tinder. Finally, you'll design your own service from architecture → DB → scaling, contribute to an actively operating open source AI coding agent project (achieving 1.8k downloads per week) to complete your portfolio, and finalize your resume.

Have you ever created an IR Deck only to receive feedback that it "lacks persuasion"? In most cases, the problem lies not in the design, but in the structure of the message. Based on real-world experience in IR Deck design, I have outlined the criteria for designing a narrative flow from an investor's perspective. This class is designed to help you grow into a hands-on designer who can architect structure beyond just visuals.

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

This is a practical lecture on operational tools & back office and data analysis planning, which are tasks handled by game planning, service planning, and business PM positions.