FastAPI Complete Guide

Hello, students.

I have just freshly released the Airflow Complete Guide Part 1 course.

"Finish Data Pipelines in One Go! Airflow Master Class"

From the core operating principles of Airflow to the practical use of various Operators and Hooks, I have poured my heart and soul into creating this course to help you grow into an Airflow expert recognized in the field.

Course Introduction Page: https://inf.run/2Y8Z4

Lecture Introduction Video: https://inf.run/znn8V

To celebrate the launch, the Airflow Complete Guide Part 1 course is available at a 40% discount for two weeks starting today. Additionally, all of my other courses will also be available at a 30% discount for two weeks.

I would like to confidently recommend this course as the best choice for learning Airflow. Thank you.

Hello, everyone. This is Kwon Cheolmin.

I recently launched a new course titled 'Learning Transformer Through Implementation'.

This course covers everything from Multi Head Attention, the core mechanism of Transformers, to the Original Transformer model, BERT, and the MarianMT model which is an Encoder-Decoder translation modelThis is a course where you can learn Transformers inside and out by implementing everything from scratch.

If you've been interested in Transformers but have had difficulty understanding them, this course will quench your thirst for Transformer knowledge with easy, detailed theoretical explanations that lead to actual code implementation.

Currently offering a 35% discount in celebration of the launch, and below is the course introduction page.

https://inf.run/9iXA7

The official prerequisite course for 'Learning by Implementing Transformer Course' is 'Deep Learning CNN Complete Guide - PyTorch Version'. The Deep Learning CNN Complete Guide - PyTorch Version course is also offering a 25% discount.

If you have some experience implementing models with PyTorch, you can challenge yourself without taking the prerequisite courses. For more details, please visit https://inf.run/K4ZyT

Please refer to the video.

The weather is getting quite chilly. Please always take care of your health and have a vibrant day.

Thank you.

hello,

To celebrate the launch of my Pytorch courses and to welcome the new spring, I am offering a 30% discount on all my courses for two weeks, from today (April 2nd) until April 15th.

Thanks to the hard work of the Inflearn marketing team, we have created a separate event page below, so please refer to it.

https://inf.run/U58ia

And we have reorganized the existing Deep Learning Computer Vision Complete Guide and the newly released Deep Learning CNN Complete Guide - Pytorch version into a new roadmap. If you are interested, please visit the roadmap page below, and a special discount is being applied to the roadmap for only two weeks.

https://inf.run/8yzaQ

thank you

hello,

The system configuration was completed ahead of schedule, and we have just opened a new lecture, ' Deep Learning CNN Complete Guide - Pytorch Version' .

We have been preparing this course for a long time. With improved content from the previous TFKeras version, this course will teach you step-by-step from the principles of CNN to practice based on PyTorch, and you will be able to build practical skills that can be applied immediately in real-world projects.

A more detailed introduction to the lecture is included in the URL below.

Course introduction page: https://www.inflearn.com/course/%EB%94%A5%EB%9F%AC%EB%8B%9D-cnn-%EC%99%84%EB%B2%BD%EA%B0%80%EC%9D%B4%EB%93%9C-%ED%8C%8C%EC%9D%B4%ED%86%A0%EC%B9%98

If you are interested in Pytorch, you will not regret choosing this Deep Learning CNN Complete Guide - Pytorch course. You will be able to completely master CNN as well as Pytorch from the basics to advanced levels through this course.

thank you

hello,

Thank you for choosing the FastAPI Complete Guide course.

When the lecture was released, the lectures in the FastAPI introduction section, such as FastAPI asynchronous processing mechanism, considerations when applying ThreadPool and Async, multi-process startup, and the roles of Uvicorn/Starlette/FastAPI, were moved to a separate section called FastAPI Async, Multi-Thread, Multi-Process.

I thought it was a bit of a heavy topic to cover at the beginning of the lecture, so I created a new section and moved it to the middle of the lecture (the section after Pydantic) to cover the content after you have become somewhat familiar with FastAPI.

Accordingly, the lecture materials and practice codes have also been revised again. We are sorry to say that those who have already downloaded the lecture materials and practice codes will have to download the revised materials again.

I hope you all have a happy Chuseok with your family.

thank you