Problem Framing: The Fundamental Skill for Reducing Development Waste

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.

👨‍🍳 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. 🍽️

Explains why LLMs are needed, their technical background, and basic concepts.

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.

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

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).

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

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

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.

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.

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

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.

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.

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.

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.

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

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.

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.

Learn how to use Notion, the next hottest app after Evernote, step-by-step from the beginning with a focus on practice.

Experimentation and A/B testing are essential skills in CRM marketing and growth marketing practice. Both PMs and POs must repeatedly conduct experiments and A/B tests in growth marketing and CRM marketing campaigns to maximize performance and efficiency. In fact, when PM and PO roles establish CRM marketing strategies based on experimentation and A/B testing, they can simultaneously achieve data-driven growth marketing performance and cost efficiency.

[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 'Theory-only lectures, step aside!' A magical solution video where real-world problems are solved together 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 individually, available for purchase one at a time. Paid course students will have the opportunity to be selected through a quarterly drawing to actually participate! (The more diverse courses by Jaesung Kim you take, the higher your chances of winning!) [Concept] The format is a one-on-one Q&A meeting with individuals, where an industry expert and strategy expert come together to approach the answer—that's the concept. Participants have been extremely satisfied. (You can see and hear 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 right answer together. Without relying on intuition and experience, but based on strategy and structuring— Experience the magical solution that naturally makes you go "Wow, this actually works!" haha 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. Selected participants will be contacted. (Personal information of non-selected applicants will be immediately discarded after 3 months) When appearing on video, using a pseudonym or not revealing your company name is possible, but if you request processing such as face mosaic or voice modulation, participation will not be possible. By consenting to video recording, you are deemed to have agreed that the video may be reprocessed and used on Inflearn and Jaesung Kim's YouTube channel.

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.

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.

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.

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!

How about starting to organize a collaboration process faster than anyone else? Google DOCS, Trello, Git... Is it possible to integrate with the tools I use? Smart way to use Slack!

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

Along with reading, writing, and arithmetic, computational thinking is an essential ability that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or thinking like a computer scientist. This course directly transfers an actual semester-long university course and covers essential content for those encountering programming for the first time or beginners planning 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 vibe 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.