Problem Definition: A Foundational Competency for Reducing Development Waste

It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.

Moving beyond prompt engineering and context engineering, we are now entering the era of harness engineering. Harnesses can solve LLM-based challenges that are difficult to achieve with prompts and RAG alone.

Without a single formula or line of code, this penetrates the essence of basic statistics necessary for AI development and application.

It enables junior developers to understand the entire development process, from planning to coding, deployment, and verification, by using AI as a development tool.

We present ways to improve RAG performance based on Cognitive Load Theory. To overcome the limitations of existing RAG enhancement techniques, we synthesize various methods by applying the conceptual framework of cognitive load.

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

"I only changed a name, but the code has transformed." I have summarized the core of readable code, 'naming that reads well,' from principles to examples. Easy-to-read names are the beginning of collaboration.

This lecture is designed to be easily understood even if you have no prior knowledge of Secure Coding. After covering fundamental secure coding concepts, it focuses on web service security. This course was originally conducted as a special lecture hosted by OO University. It provides over 160 source codes with extensive comments, pinpointing core topics and techniques that can be applied immediately in the field.

You can quickly understand the basic concepts and fundamental syntax of the C language.

We present various clean coding techniques.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

It explains in detail the various language models developed in the process, starting from the beginnings of natural language processing technology to the latest LLM models.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

We will look at how to collect and analyze user requirements for planning an LLM service.

Explore the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.

We will explore the types of applications and web services that can be built using LLMs.

Explains the reasons why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.

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.

Web planners and PLs/PMs can quickly create high-quality deliverables.

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.

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!

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.

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.

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!

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.

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.

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.

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

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.

From design collaboration methods to career advice, Wanted Product Designer Sanghyo Lee shares stories you might be curious about.

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 capacity to converge one's major with information and communication technology in the era of the Fourth Industrial Revolution.

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.

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

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.

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.