Issue #30.5: Special Announcement - A new course on MLOps!
Welcome to the latest issue of the MLOps newsletter. In this special (mini) edition of the newsletter we have some exciting news to share!
MLOps: From Models to Production, a new course that @Nihit has been developing in partnership with the team at co:rise, is almost ready to go live! This will be a 4 week course, with the first iteration starting July 11th (07/11/2022). More details below 👇
Over the last decade, Machine Learning has become ubiquitous, powering platforms and applications across a variety of domains. And yet, we are likely only at the beginning of the ML adoption journey. In order to realize the promise of Machine Learning, we believe it is important to combine the knowledge from Machine Learning research with skills and best practices around building effective real-world ML systems. With that in mind, we’d like to share a new course @Nihit has been developing in partnership with the team at co:rise.
Who is this course for?
Software engineers who want to build production systems that integrate ML
Data scientists who want to learn about the production ML lifecycle
Students/recent college grads who want hands-on experience building and shipping ML applications
This course is meant to complement a foundation course in Machine Learning/Deep Learning and assumes familiarity with basic machine learning concepts.
This will be a 4-week course, with the first iteration starting July 11th (07/11/2022). We expect to run the course a few times each year.
To enroll or learn more about the course, you can visit the course webpage. You can use the code NIHIT10MLOPS for a discount.
Also, check out other courses in the ML track that you might find interesting.
We are also offering a limited number of scholarships! If you're interested to apply, or know someone who is, here is the application link
Thanks for making it to the end of the newsletter! This has been curated by Nihit Desai and Rishabh Bhargava. If you have suggestions for what we should be covering in this newsletter, tweet us @mlopsroundup or email us at email@example.com.
If you like what we are doing, please tell your friends and colleagues to spread the word. ❤️