Kafka Complete Guide - ksqlDB

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 students, this is Kwon Chul-min.

I have recently released a new course titled 'FastAPI Complete Guide'. I am posting a brief introduction to the course to help those of you who are interested in FastAPI.

'FastAPI Complete Guide' consists of various examples and abundant practical projects to enable systematic learning from the core components of FastAPI to advanced functions.

In addition, it covers not only FastAPI itself, but also the entire process of developing a web service using FastAPI. Through this, you will be able to develop skills to the point where you can immediately apply FastAPI to real-world projects.

You can find more detailed lecture information at the URL below.

https://www.inflearn.com/course/fastapi-%EC%99%84%EB%B2%BD-%EA%B0%80%EC%9D%B4%EB%93%9C

We put a lot of time and effort into making this course for FastAPI so that you won't regret it.

I hope that everyone will have a happy and precious time during the upcoming Chuseok holiday. I bow to all the students who love my lectures in advance to give Chuseok greetings.

thank you

hello,

Instead of releasing a separate ksqlDB Part 2 lecture, we plan to integrate the additional lectures into the ksqlDB Part 1 lecture.

The additional lectures will be approximately 7 to 8 hours long, and the main contents are as follows.

1. Connect with KSQLDB

2. Elasticsearch Sink Connector integration

3. KSQLDB Use Case Practical Training

4. Visualizing KSQLDB analysis results with Kibana

All additional lectures will be uploaded by Thursday, June 8th, so existing students will be able to take the additional lectures soon.

The lecture name will be changed to Kafka Complete Guide - ksqlDB, and the lecture introduction will also be changed to reflect the added lecture contents. The expected completion date is June 14th.

The course fee will increase to 99,000 won, and (of course) existing students will not be affected.

However, the increase date is June 14th, and the current price will be maintained until then.

I would like to once again thank my students who always love my lectures.