FastAPI Complete Guide

This course will help you become 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 that can be immediately applied in real-world work environments.

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 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 :)

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.

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 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.

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.

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

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

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 :)

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.

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 teaches you how to write performance-conscious queries during the SQL development phase, guided by a SQL Server expert. You can learn the basics for meeting query performance requirements along with practical case studies.

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

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.

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.

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

Easy and fun SQL stories learned from professional instructors! Lectures are conducted systematically and step-by-step for beginners. We offer opportunities to learn with sufficient repetition through a 3-step learning process.

Django Base Camp is a course where you can systematically learn the core of the Django web framework from beginner to intermediate level. You can quickly develop the ability to build web applications through project-oriented, practical classes.

The complete guide to building modern backend APIs with FastAPI! 🚀 This course systematically covers everything from FastAPI basics, Pydantic data validation, DB integration using SQLAlchemy, to Alembic migrations. Through a practical ToDo project, implement JWT authentication/authorization security, and experience asynchronous processing and performance optimization. Finally, through Docker containerization and AWS deployment practice, with just this one course, you can grow into a backend developer ready for immediate practical deployment!

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.

Online bootcamp in Jeju! Create your own service quickly! :)

You can learn how to handle data frames (tables) using Python, similar to the SELECT statement in SQL.

This course will teach you how to create an IMAX movie ticket opening notification at CGV Yongsan I-Park Mall using Python web crawling, Telegram bot, and AWS EC2. Through this course, you can learn everything from a basic understanding of web crawling to creating a Telegram bot and setting it up as a server!

No more waiting on the dev team, I'll build it myself! This course helps practical staff (e.g., in planning, marketing, sales) to directly implement core web service functions using AI tools, without developer assistance.

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

🔥 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 😎💻

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.

This is not a boring introduction to Widgets. This is a hands-on project lecture where I will copy the login screen and main screen of the program I am selling.

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.

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.

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