FastAPI Complete Guide

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.

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 :)

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.

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 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 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.

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.

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

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 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.

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.

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

From Java basics to advanced concepts, and Oracle SQL too, Backend web development series with hands-on practice, taught by star instructor Young Cody Kim who explains clearly for non-majors and coding beginners

This course is designed to systematically teach advanced SQL features, specifically GROUPING functions and Window functions, to prepare for the SQLD exam and enhance practical data analysis skills. You will learn the concepts and applications of GROUPING functions and master methods for analyzing data at various aggregation levels. Understand the basic concepts and types of **Window functions (based on the OVER keyword)** and improve your practical skills through hands-on exercises. Learn **Ranking functions (RANK, DENSE_RANK, ROW_NUMBER, etc.)** and window options for aggregate functions through practical business examples. Cover **Row order functions (LAG, LEAD, FIRST_VALUE, LAST_VALUE, etc.)** and practice time-series and sequence-based analysis firsthand. 👉 Through this course, learners can expand their data aggregation and analysis skills to an advanced level, gaining expertise that is immediately applicable not only to the SQLD exam but also to real-world corporate data analysis environments.

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

This is a course where you can learn FastAPI, which is easy and fast for modern full-stack and backend development, starting from backend concepts step by step to FastAPI core syntax and asynchronous database usage, organized with clean materials and projects.

This course is designed to help you learn MySQL databases and SQL step-by-step, from the absolute basics to a professional level. It covers database concepts, relational models, SQL syntax, queries, conditions, sorting, functions, joins, subqueries, and indexes, with a focus on practical examples. The curriculum is structured so that you can understand concepts many students find difficult (such as joins, subqueries, and group functions) by following along directly. With a flow of Theory → Practice → Summary, this course ensures you can complete it until the end without getting stuck. Whether you are new to SQL or want to brush up on the basics, you will gain database skills that can be applied immediately in the workplace.

I've created a 'MySQL Performance Optimization Beginner/Practical Course (SQL Tuning Edition)' that's easy to understand even for non-majors and can be immediately applied in real-world situations!

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.

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

This is a practical project course on running Whisper locally and quickly developing an AI speech recognition app using FastAPI and Next.js. You'll implement real-time speech recognition and complete a project that can be used as a simple portfolio piece in a short amount of time.

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.

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.

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.

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

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

🔥 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 😎💻

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

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.

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.