Hey everyone! I've been thinking about transitioning into MLOps and I'm curious if anyone has insights on the best way to learn it. What resources or steps should I focus on? Any advice would be greatly appreciated!
2 Answers
Honestly, you could just search online, but I think having a structured roadmap is way better. Look for courses that cover key topics like CI/CD in ML, cloud services for ML, and best practices in model deployment. Also, getting familiar with tools like Docker and Kubernetes can be super helpful.
There are definitely professionals out there who could guide you, but it’ll cost a bit. I suggest exploring free resources first, like YouTube tutorials and online articles. They can give you a good starting point without spending a lot. Once you grasp the basics, you could then think about paid courses if you want more in-depth learning.
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