Problem Framing: The Fundamental Skill for Reducing Development Waste

This course systematically teaches prompt engineering, a core technology for effectively utilizing Large Language Models (LLMs) and generative artificial intelligence. It comprehensively covers everything from foundational theory to practical techniques, as well as the latest application cases and security/ethical issues, providing practical help to LLM-based service developers, data scientists, and AI planners alike.

👨‍🍳 Like cooking code, neatly and deliciously! 『Clean Coding』 is a code cooking class for chef-like developers, where they joyfully learn clean coding through a cooking analogy. 🍽️

Now is the era of development using AI. To create better, more accurate code and documents by better utilizing AI, methods are needed, so we propose suitable ones.

"One name change, code transformed." "The key to readable code, 'naming for readability,' summarized from principles to examples." "Easy-to-read names begin collaboration."

By enabling junior developers to understand the entire development process from planning to code writing, deployment, and verification using artificial intelligence as a development tool, it helps them survive and thrive by acquiring the full-spectrum capabilities needed in the AI era.

What should be done when building a generative AI or LLM-based RAG (Retrieval-Augmented Generation) system, but the desired performance isn't achieved and there's no suitable solution? This lecture presents methods to improve RAG performance based on Cognitive Load theory. Through this lecture, you will understand the limitations of LLM context windows and learn how to effectively manage cognitive load in RAG systems. It is a practical-level theoretical lecture covering Chunk size and structure design, high-quality Chunk generation techniques, dynamic optimization, performance evaluation, and practical techniques.

You can learn the concepts and methods of 'service design' needed when planning applications or web services built on LLM, a type of generative artificial intelligence (generative AI).

This lecture is designed for understanding even if you have no prior knowledge of what Secure Coding (Security Coding) is. After covering basic security coding concepts, it focuses on web service security. This was a special lecture presented under the auspices of OO University. It presents over 160 source codes with rich comments, pinpointing core topics and techniques immediately applicable in practice.

You can quickly understand C language's basic concepts and grammar.

Starting from the origins of natural language processing technology, this provides a detailed explanation of the various language models developed in the journey leading up to the latest LLM models.

We explore methods for creating an AI judge by combining multiple agent frameworks such as CrewAI, LangChain, and AutoGen that enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

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

We explore the limitations of LLMs, methods to overcome them, and the latest research topics.

Let's explore the types of applications or web services that can be built using LLMs.

Describes the need for LLM, its technical background, and basic concepts.

This explains the foundational principles of large language models like ChatGPT with a focus on theory.

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.

Notion is a growing tool that is still filling in its shortcomings. I have summarized the basic usage and the key points to keep in mind when sharing documents. Let's do it together for just one week. The before and after lectures 😵‍💫 and after😎 will be completely different!

Can document management be agile? Learn the basics of Atlassian Confluence, which is popular these days.

This is practical training designed to systematically learn problem-solving skills essential for office workers in a rapidly changing business environment, from the basics to real-world application. It covers understanding the era of deepening uncertainty and complexity such as VUCA and BANI, and addresses the entire process through real cases and hands-on practice: problem definition and root cause analysis, stakeholder identification, creative idea generation, solution prioritization, implementation monitoring, execution result analysis, and follow-up management.

Being a developer as an employee is completely different from being a freelance developer. This book covers everything you need to become a freelancer, from a junior developer to a senior developer.

Have you ever felt frustrated when you were creating a B2B product and there was no content covering it? I will explain the similarities and differences between B2B and B2C products in an easy-to-understand way based on your actual career.

A course to effectively acquire Monday's core functions that enable anyone to automate and manage work easily and freely in a short period of time! Let's learn how to effectively handle work instructions, schedule management, work status, and work reports anytime and anywhere using Monday, and also aggregate work performance in real time, and work smartly.

Learn to create and use practical Notion templates for daily life, including household ledgers, pet care, and collaborative year-end reflections. Beyond just attractive templates, this covers design for efficient data management and practicality, allowing deeper Notion usage.

This is a fast-paced development course for busy planners. You can learn the entire development process by developing web front-end, back-end, and DB yourself with simple explanations.

Are you always anxious that you are too busy alone but are not doing your job properly? A 9-year designer who has worked at Nekarasen after working at 4 startups will share practical strategies for growing without a mentor, based on his experience.

Microsoft Loop is a tool that revolutionarily transforms real-time collaboration and information sharing. In this course, you can easily learn everything from Loop's basic concepts to practical application methods, and integration with various Microsoft 365 apps. We provide a hands-on curriculum that can be immediately applied to various tasks such as team projects, idea organization, and work management. We guide you step by step so that even beginners can follow along, and we also share tips that can be used directly in actual work. Experience new collaboration with Loop!

The ultimate productivity tool, Notion! How to use it properly!

AI is now a common challenge that all generations face. This course explores ways to transform AI into a language of communication and collaboration, transcending the differences in perspective between XYZ generations.

[McKinsey Alumni Kim Jaesung's Problem-Solving Q&A: We'll Solve Your Problems Together] Required! Pre-requisite Course: McKinsey Alumni Kim Jaesung's Special Lecture on Problem-Solving & Research Skills with AI https://inf.run/LmvrD 'Theory-only lectures, step aside!' A magical solution video that solves real-world problems instantly 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 entire industries! Each video will be uploaded and available for individual purchase. Paid course subscribers will have the opportunity to actually participate through a quarterly lottery drawing! (The more diverse Kim Jaesung's courses you take, the higher your chances of winning!) [Concept] The format is a 1:1 Q&A meeting with each person, with the concept of an industry expert and strategy expert coming together to approach the right answer. Participants' satisfaction has been extremely high. (You can see and hear it 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. Without relying on intuition and experience, but based on strategy and structuring, experience the magical solution that naturally makes you say "This actually works?" 😊😊😊 The free version (~10 minutes) will be open to everyone, and the full version will be available to Inflearn course subscribers 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. If selected, we will contact you. (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 mosaics, 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 Kim Jaesung's YouTube channel.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone must have in the AI era. Simply put, computational thinking can be defined as thinking like a programmer or thinking like a computer scientist. This course is a direct transfer of an actual university semester course and covers essential content for those new to programming or beginners who want to major in computer science. It enables non-computer science majors or those with humanities backgrounds to develop the ability to easily communicate with professional programmers. Furthermore, even in an era where learning AI prompts for coding is necessary, computational thinking can help develop the ability to give instructions to AI more accurately and effectively.

Computational thinking isn't something that only computer science majors learn. Every profession has problems that need to be solved, and computational thinking can be used to solve those problems.

We share insights and challenges encountered while growing into a senior developer. Issues are summarized by referencing cases from Korea and the U.S.

It improves logical thinking skills, develops an understanding of how to use programming tools, and develops the ability to design algorithms for problem solving.

This is for those who want to introduce and use JIRA and Confluence in their team projects.

It improves logical thinking skills and cultivates the ability to integrate one's major with information and communication technology in the era of the 4th Industrial Revolution.