Learn directly from The Essentials of ML System Design

It was an incredible opportunity to get SOTA knowledge about creating ML systems that must work in a production environment. Arseny and Valeriy did a great job sharing their experience and helping our group think about application in real life. So, if you want to connect your ML experience with creating complex systems or vice versa, this course will be a must.

The course was packed with a wealth of information, and the lecturers organized the material into well-structured segments. Each section of the course was thoughtfully crafted, making it easier to digest the presented information. Initially, I was concerned that the parts of the course where I already had hands-on experience might be redundant or boring. To my surprise, the diversity of the lecturers' experiences brought a fresh perspective, and I discovered many useful ideas and approaches that were new to me. This diversity was a significant strength of the course, ensuring that even experienced and seasoned professionals could gain valuable insights. Some sections were challenging, particularly those where I lacked hands-on experience. After such lectures, I had to spend additional time exploring the materials to better understand and structure the concepts in my mind. The accompanying book proved to be an excellent resource. It served as a helpful side material during the course and was invaluable for refreshing my memory on key topics. The book complemented the lectures perfectly and was a great reference tool. It's important to note that this course is not entry-level. To make the most of it, a solid professional background is essential. The content is advanced and assumes a certain level of prior knowledge and experience. The timeline for Cohort 1 was not enough to thoughtfully explore all sections with lecturers online, so there were some shortcuts. Overall, it is a comprehensive and somewhat challenging course that offers significant value to professionals in the field. The well-structured material, combined with the diverse experiences of the lecturers and the excellent accompanying book, makes it a highly recommendable course for those looking to deepen their understanding of Machine Learning System Design.

That was fun! There were many real-world examples to support the theoretical material, live discussions and knowledge sharing, not to mention the good sense of humor of both lecturers.

I am very satisfied with the content and activities we has during the course. Both Arseni and Valery put a lot of effort to make the course engaging, the course lectures were fun! I learned a lot, and even more, many of the things we learned I already applied in practice. One thing that I missed a bit is broader discussions within a cohort students 🙂 but that does not depend on the course that much.

"The Essentials of Machine Learning System Design" is a great starting point for those new to ML System design. The course offers a well-structured, step-by-step approach that guides users through the entire process, from defining the problem to deployment and maintenance. This comprehensive approach is particularly valuable for beginners who need a solid foundation in the core concepts. Overall, if you're new to ML system design and looking for a comprehensive introduction, it is a worthwhile course.