FastAPI Complete Guide

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 :)

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.

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.

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.

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.

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.

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.

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.

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

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 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.

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

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.

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 :)

This course is a master class that systematically covers the fundamental principles and practical applications of MongoDB. Starting with core MongoDB concepts, you will systematically learn essential topics for practical work, such as database design, CRUD operations, indexing, aggregation pipelines, performance optimization, transactions, and security. It explains topics step-by-step so even beginners can understand, and you can deeply learn the working principles of MongoDB through exercises and examples. This is the best introductory and practical course for developers who want to build strong MongoDB skills for practical work.

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.

Starting from elementary school coding education to high school students in IT software departments, computer science college students, and job seekers from non-technical backgrounds, you can now meet the easy and fun coding lectures of Young Cody Kim, a current star instructor who has dedicated over 15 years to coding education, not only offline but also online. With Young Cody Kim, who has produced over 500 frontend, backend, full-stack, and web developers, your dream of becoming a developer will soon become reality!

Extract and utilize data through Oracle 18c and become a database expert!

Perfect preparation for the SQLD certification, from understanding SQL to practical function application, finishing with the latest exam questions!

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.

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.

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 🚀

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!

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly master the essence of Channels through this course.

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

This lecture is a lecture on database basics in the [Web Development Full Stack Course] lecture series for training full-stack web developers. This lecture is a process of understanding database design while analyzing Netflix and Carrot Market. It is a basic lecture where you can learn basic database design principles and SQL.

Not only developers, but also planners and data analysts learn databases step-by-step, starting from the basics of SQL.

Digital marketing that makes money, such as Naver Shopping and Coupang Partners, requires consistency, but you can approach it easily and effectively with scientific analysis and automation. We will teach you the key secrets of creating a program that collects and analyzes popular products, keywords, blogs, and shopping information.

Learning by Doing: 정보처리산업기사 I have prepared everything for passing the 정보처리산업기사 course-evaluation practical exam.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

🔥 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 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.

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

Hackathon and Project Introduction, Now Start with Arduino, Python, and Flask. Let's build a framework for hackathons and projects by creating cool projects together.