FastAPI Complete Guide

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.

This course will help you grow into a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples at a level that can be immediately applied in the industry.

This course is a practical Airflow master program designed to help you understand "why Airflow works this way" and enable you to design and debug data pipelines on your own. It covers everything from Apache Airflow's core mechanisms to detailed theory and hands-on practice involving DAGs, Operators, Hooks, Scheduling, Timezones, Idempotency, and Templates.

Through in-depth theoretical explanations of Kafka Connect and detailed practical training that can be used immediately in the field, we will help you grow into an expert in building data linkage and data pipelines based on Kafka Connect that are needed in the field.

From the core of Kafka to in-depth content on internal mechanisms, the course is structured so that even beginners can quickly reach the expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)

From core theories of Deep Learning and CNN to implementation methods of various CNN models, and practical Deep Learning development know-how through real-world problems, If you want to become a Deep Learning CNN technology expert, join us in this lecture :)

From Multi-Head Attention to the Original Transformer model, BERT, the Encoder-Decoder based MarianMT translation model, and even Vision Transformer, you'll learn Transformer inside and out by implementing them directly in code.

This course is designed to help you learn the use of ksqlDB and its core mechanisms through various hands-on exercises. After completing the course, you will be able to easily and quickly build a real-time streaming data analysis system based on Kafka.

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.

It provides a key guide to understanding the internal mechanisms of Oracle DB architecture and growing as a performance tuning and performance analysis expert.

This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.

This course delves deeper into the program or file structures that we take for granted or commonly encounter, using Python.

If I were to create a delivery app from scratch, I would do it like this. This course covers practical fastapi, mongodb, modeling and index design, redis caching, and load testing.

From Java basics to advanced levels and Oracle SQL, this is a backend web development series where you learn through hands-on practice with star instructor Young-Cody Kim, who makes coding easy to understand even for non-majors and beginners.

We will learn about cases where companies such as Line, Google, Carrot, and Kakao actually improved MySQL performance. Let's go beyond simple performance optimization guides and understand the internal workings of MySQL and learn how to use it efficiently.

If you are planning a service, a website is an essential element. Of course, beyond services, most current program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered one of the easiest programming languages, and to set it up for actual operation.

We would like to provide an opportunity to learn SQL, a language used in relational databases, in general. In particular, we wrote the execution examples in the ORACLE environment. The learning content is largely divided into 2 parts and a total of 11 lectures. After learning the entire content, you can cultivate the ability to perform tasks in a database along with the general knowledge of SQL, and you can also prepare for the nationally certified SQL developer qualification.

This course systematically teaches normalization and denormalization, which are core concepts in database design. Learners will understand the necessity and principles of normalization, and acquire step-by-step knowledge from First Normal Form to Third Normal Form and BCNF normalization techniques. Additionally, they will learn denormalization techniques that are essential considerations in practical database design, and discover actual application methods for performance optimization. Furthermore, learners can understand the essence of NULL values and their operational results, which are important concepts in databases, and examine the concept and characteristics of **Artificial Identifiers** to experience the importance of data integrity and management. Through this course, learners can establish a foundation for solving various problems that may arise during the data modeling process and develop database design capabilities applicable to both theory and practice.

A course that helps you understand core database concepts and practice explaining them verbally in interviews

The SQLD Latest Past Exam Problem Solving Course is a practical preparation lecture that reflects the 2024 revised exam standards and is based on actual past exam questions. Going beyond simply checking answers, it meticulously covers the question's intent, key testing points, and common pitfalls, developing practical problem-solving skills for SQLD certification success.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

This course will solidify the basics of SQL through various problems that can be encountered in the actual IT industry. Solve the problem-solving quests, take the first step toward data analysis, and strengthen your SQL skills that can be applied in real life!

Don't just remain a ChatGPT user; transform into a GPT service developer with Django/Channels. Quickly grasp the core of Django/Channels with this lecture!

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

A must-have subject for aspiring developers and those looking to get a job in big data!!

Solidify your foundation in Python/Django web service development. Learning Django takes time, but you can maximize your productivity through iterative development. Turn your imagination into reality.

You will learn how to develop data/machine learning web applications through 5 practical projects. You can easily and quickly build and deploy web applications with Python and Streamlit. (Updated in June 2025)

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

🔥 Vibe Coding with Streamlit 🔥 Real-time coding experience where you can instantly create your own web service with just one line of code! Visual-focused, hands-on lectures tailored to MZ sensibilities - no complex backend knowledge required. Learn the basics of Streamlit and awaken your development instincts by directly implementing practical apps. Complete your own "personal service" with code in a vibe way right now 😎💻

This course is a practical, hands-on guide to automating repetitive tasks and maximizing work productivity using ChatGPT and Python. You will learn step-by-step how to use AI to automate daily repetitive tasks such as Excel work, report writing, sending emails, and data organization. Starting as a non-developer myself, I have taught AI automation to thousands of students, and I have compiled only the methods that can be used immediately in actual business environments. This course focuses not on complex theories, but on **"automation techniques you can use right today."** 👉 The goal is to turn ChatGPT into more than just a tool, but into **your own personal work assistant (Jarvis)**.

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀