Clean Coding: Learning Good Code Writing Techniques Through Cooking Analogies

This enables junior developers to understand the entire development process from planning to code writing, deployment, and validation by using artificial intelligence as a development tool, allowing them to survive and thrive in the AI era by acquiring the full-spectrum capabilities needed.

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

This course is a systematic learning process for prompt engineering, which is a core technology for effectively utilizing large language models (LLMs) or generative artificial intelligence. It covers a wide range of topics from basic 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.

Explains the basic principles of large language models like ChatGPT, focusing on theory.

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.

Problematization (문제화) is a term also translated as problem posing, problem framing, problem setting, or problem definition. This concept involves questioning known facts (like requests or common sense) from a new perspective, defining the problem, and devising methods to solve it. Problematization should be the starting point for all development, yet it remains insufficiently discussed within the field. Performing projects or developing programs is, in essence, planning to solve problems. This means they are related to problematization. To solve a problem, it must first be clearly defined. However, problems are mostly presented as vague requests. Therefore, the ability to transform vague requests into clear problems is essential to reduce unnecessary 'development waste,' facilitate smooth collaboration, and accurately grasp users' true needs. This lecture helps train 'the thinking of problem construction' through practical examples and tools.

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' necessary when planning applications or web services based on LLMs, 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."

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.

Describes in detail the various language models developed from the inception of Natural Language Processing technology to the process leading up to the latest LLM models.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference 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.

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

We provide CodeTree past questions, as well as algorithms and tips for solving them. We use C++, but since we don't use libraries, those who use other languages can also take the course. (Python code provided)

Learn Java-based data structures and algorithms, and grow into a competitive coding expert with practical problems!

This course is for those preparing for coding tests in Java. It covers the top 10 topics that are most frequently tested in coding tests. It is structured step by step from basic to intermediate problems linked to the topic, so if you follow it step by step, you will get good results.

The fastest way to build the foundation of coding tests for joining IT companies! #Picture-based explanation #Code writing know-how #Companies you can go to #Only necessary questions

I hope that through this course you will gain a clearer understanding of grammar and gain confidence in solving problems.

I hope that through this course you will gain a clearer understanding of grammar and gain confidence in solving problems.

Strengthen your coding skills through coding test problems by learning Python-based data structures and algorithms!

Refactoring is one of the basic skills that a software engineer should have. This course is designed to explain and practice various code smells and refactoring techniques in a more practical way using IntelliJ and Java.

We will refactor a web application built with Java + Spring Boot to Kotlin + Spring Boot and implement additional requirements. In the process, we will use Junit5, SQL, JPA, and Querydsl, and cover the pros and cons of various methods from the design and implementation perspectives.

Are you about to have a coding interview? You've come to the right place! We've gathered together JavaScript concepts that you may not understand well or are confused about no matter how many times you hear them, and we'll take some time to dig into them together :) Are you ready to capture the interviewer's heart?

Prepare perfectly for the Programmers Coding Essential Competency Certification (PCCE), from Python basics to competency certification!

For those learning Swift, the iOS programming language, for the first time, explanations that mix multiple concepts can cause confusion. That's why I created 'a course designed for understanding only one concept at each stage.' Therefore, in this course, only one new concept appears at each stage, and I meticulously designed a sequential structure between concepts so that no other unfamiliar concepts appear. From Swift's most basic variables and constants to the most challenging ARC and memory structure, you'll learn 180 core concepts in their 'designed order' over 3 hours.

For those learning Swift, the iOS programming language, for the first time, explanations that mix multiple concepts can cause confusion. That's why I created 'a course designed for understanding only one concept at each stage.' Therefore, this course introduces only one new concept at each stage, with the sequential structure between concepts meticulously designed so that no other unfamiliar concepts appear. From Swift's most fundamental variables and constants to the most challenging ARC and memory structure, you'll learn 180 core concepts in their 'designed order' over 3 hours.