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.

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 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.

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.

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.

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.

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 :)

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.

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.

Want to take your code to the next level? 🚀 For beginner developers, I've prepared the 'Python Design Patterns' 📖 course. Complex design know-how is made easy to understand with practical examples. In this course, you'll learn these things: 💼 **Practical Example-centric**: Real-world examples you can apply immediately 📚 **Mastering Classic Patterns**: Master GoF's core patterns 🐍 **Pythonic Tips**: How to write more concise and efficient code It will boost your confidence in code design! ✨

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!

MySQL for non-majors! This lecture quickly skims through essential concepts with brief explanations, then allows you to learn MySQL hands-on by "playing" with examples on the site.

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.

Sometimes, data processing is blocked and frustrating. If you are not a professional programmer or developer, learning unfamiliar fields such as Python or Java is not easy and there is not enough time. This is for those who only know Excel and SQL basics when it comes to frequently used things. This is the first part of the SQL query book that you can find and use when you need it.

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.

Inflearn cumulative students of over 30,000, Datarian's advanced SQL course with extensive online/offline teaching experience. Learn advanced SQL theory and solve 25 practice problems together.

You will be able to extract the data you want directly without the help of a developer. We will provide everything you need for analysis, from simple queries to joins. Start learning SQL with a direct lecture from the author of the book <Planner's SQL>.

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

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 🚀

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

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.

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

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.

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

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 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.

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.

This course teaches MS-SQL through baseball/company databases.