Airflow Master Class

Hello!

It's been a while since I last greeted you.
In celebration of April 2026, I have launched a new course.
The newly released course is the LLM Master Class for AI Beginners.

✅ The content you will learn mainly covers understanding LLM architecture and GPU utilization strategies.

1. How to read the detailed specifications of models registered on Hugging Face

2. Mastering the principles and evolution of Transformer Attention.

3. Understanding KV Cache in Decoder Models

4. vLLM hands-on practice and monitoring key metrics

5. Multi-GPU Utilization Strategies

6. Catching up with LLM development trends

✅ It covers 6 key points. Through this course, I have included a lot of know-how so that you can fully understand LLM models even without formulas and become an expert in running and managing them in a GPU environment.

💡 Currently, a 70% early bird discount is in progress.

💡Go to course: https://inf.run/QtjVn

As the cherry blossoms bloom these days, please be careful of the daily temperature swings, and I will be back with more good news soon. Thank you 😄

Hello! This is Kim Hyun-jin.

The Airflow master class lecture has been updated.

When I filmed the lecture, the version was 2.5.1, but it has now been updated to 2.10.5.

So, I've summarized the major updates from version 2.6 to 2.10 and added a total of 10 chapters.

As I was organizing, I could feel that there were many updates to supplement/strengthen the Dataset function, and that Airflow's functions were also being supplemented in line with the expansion of the cloud.

Section 18 has been updated to provide hands-on experience with this material.

Last month, we also opened a course on real-time processing based on Kafka & Spark Streaming in a cloud environment for hands-on project-level practice. We ask for your interest.

We will quickly reflect and notify you of any major updates to both lectures ^^

thank you

hello

This is Airflow Master Class' Kim Hyeon-jin.

Recently, the need for real-time processing has increased significantly, but there is a lack of lectures covering real-time pipelines.

We have opened a course where you can learn and practice real-time processing pipelines based on Kafka & Spark.

We have prepared a step-by-step guide for learning both Kafka and Spark, from the basics to configuring real-time pipelines.

As the weather gradually gets warmer and spring approaches, I hope that a refreshing spring of 25 years will come to you all.

thank you