FastAPI Complete Guide

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.

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.

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.

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 :)

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

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.

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 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 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 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 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.

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

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.

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

Automatically generate executable SQL files using JDBC (DatabaseMetaData, ResultSetMetaData). Install the e-Government Standard Framework 3.10.0 development environment. Install local DB (mariadb-10.6.4-winx64.zip).

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.

Easy explanations and examples are provided so that you can apply them directly to your work.

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.

Everything you need to know about the basics and practical application of Python Django web development, only from Silicon Valley software engineers! Don't miss out on the opportunity to learn web programming using the Python-based Django framework!. To make it easy for even beginners to start web programming, you can also learn HTML and Bootstrap, so don't miss out on this great opportunity!

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!

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.

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!

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

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

In this course, you will practice step-by-step using React and FastAPI to implement social features like real-time voting, comments, and likes, as well as integrating payment systems (KakaoPay, TossPay, etc.) for monetization.

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

Learn Everything About Python from a Silicon Valley Software Engineer. Currently, as a 15-year veteran software developer, I handle everything from web applications, big data, and even SRE & DevOps, all with Python. From the basics of Python to advanced techniques, don't miss this opportunity to learn all the skills and know-how for using Python in real-world Silicon Valley practice!

This is a course for learning MS-SQL through baseball and corporate databases.

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

Let's edit and process the countless data generated through public services to build our own database, and discover another hidden world through a series of tasks that occur in the process and by utilizing SQL.

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

This course is a direct lecture by the author based on the book "Python Quick Start - Python for Work - Ruby Paper (2023/04)". This course is a course to learn the basics and usage of Python, which is known to be easy to learn, so that even non-majors can use programming in real life or work. You will learn Python programming methods through real business cases rather than grammar-centered ones, and you will be able to increase the efficiency and reliability of your work by automating various business processes including HR and finance.

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

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.