Mastering Prompt Engineering

[2nd edition scheduled for completion in May 2026] You can quickly understand the basic concepts and syntax of the C language.

[Scheduled for completion of the 2nd edition in April 2026] Penetrating the essence of basic statistics necessary for AI development and application without a single formula or line of code.

[The 2nd edition is scheduled for completion in April 2026] This helps junior developers understand the entire development process, from planning to code writing, deployment, and verification, by using artificial intelligence as a development tool.

[Scheduled for completion of the 2nd edition in May 2026] Helps train the "structured thinking" required to solve problems.

[Scheduled for completion of the 2nd edition in 2026] We present ways to improve RAG performance based on Cognitive Load Theory. To overcome the limitations of existing RAG performance enhancement techniques, we synthesize various methods by applying the conceptual framework of cognitive load.

[Scheduled for completion of the 2nd edition in 2026] 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).

[Scheduled for completion of the 2nd edition in 2026] "I only changed one name, but the code became different." We have organized the core of readable code, 'naming that reads well,' from principles to examples. Easy-to-read names are the beginning of collaboration.

[2nd Edition scheduled for completion in 2026] This course is designed to be understood even if you have no prior knowledge of Secure Coding. It covers basic secure coding concepts first, followed by a focus on web service security. This lecture was originally conducted as a special seminar hosted by OO University. With over 160 source codes provided alongside rich commentary, it pinpoints core topics and techniques that can be applied immediately in practical work.

[The 2nd edition is scheduled for completion in 2026] Presents various clean coding techniques.

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

[Scheduled for completion of the 2nd edition in 2026] This book provides detailed explanations of various language models developed throughout the process, starting from the beginnings of natural language processing technology to the latest LLM models.

[2nd edition scheduled for completion in 2026] We explore how to create an AI judge by combining various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

[2nd Edition scheduled for completion in 2026] We will look at how to collect and analyze user requirements for planning LLM services.

[Scheduled for completion of the 2nd edition in 2026] Explores the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.

[Scheduled for completion of the 2nd edition in 2026] We will explore the types of applications and web services that can be built using LLMs.

[Scheduled for completion of the 2nd edition in 2026] Explains why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

[The 2nd edition is scheduled for completion in 2026] You can develop your programming skills while exploring the fundamental principles of Large Language Models (LLMs) such as ChatGPT and Claude in depth. You can learn a variety of information and development techniques that are often difficult to come by.

This is a lecture directly from the author of <Prompt Engineering>. Learn to use ChatGPT, Bing, Bard, HyperCLOVA X, and more with ease.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

A basic textbook and practical guide covering principles and practical uses of various generative AIs like ChatGPT and Claude, and for their effective introduction and utilization.

The start of smart work - work intelligently anywhere, mobile or PC! Go beyond the limits of content creation with the most advanced Google AI tools available today.

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.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!

We will summarize the core theories spanning from Machine Learning and Deep Learning to Generative AI in one go. And by implementing various Generative AI applications with easy Python code, you can take your first step as an AI developer.

Master prompt engineering perfectly, an essential skill for developers in the AI era.

Apply the latest trends in generative AI directly to your work! The bible of prompt engineering lectures, containing only the essentials.

You use ChatGPT, but haven't you found it difficult to explain why it gives certain answers? "I know terms like RAG, Agents, and Fine-tuning... but it's hard to explain them accurately." "I get tongue-tied whenever I hear LLM-related terminology." "Conceptual explanations are always vague during AI meetings." This course was created specifically for people like you. This is a theoretical course designed to help you understand LLMs not just as a 'tool,' but as a 'structure.' It doesn't teach you how to use ChatGPT or Gemini; instead, it establishes the foundation so you can explain exactly why they work the way they do.

It's structured to enable understanding of ChatGPT and text generation AI, learning effective real-world use, practice via diverse examples, and direct application.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

The capabilities of AI can expand infinitely depending on how you write your prompts. The benefits gained from collaborating with AI depend on the clarity of your questions and whether you provide sufficient background information. Now, please make full use of GPTs to perform efficient and purpose-driven tasks.

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

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

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

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

A quick, essential lecture for mastering ChatGPT! Let's learn fast!

The "How Far Can You Go with ChatGPT?" series: Creating a Stock Auto-Trading Application and Web Investment Reports!