Hi I am working as a senior data scientist. I know ML and Deep Learning very well, but I lack the experience of productionizing models. I need help with a proper mentored course to understand MLops, LLMops, docker etc. Any help is appreciated.
madewithml.com and fullstackdeeplearning.com can give a very good head-start.
There isn't any silver bullet.
For docker, can go with mumshad course.
But "productionizing models" oh my goodness Starting with dbt, trino, Kubeflow, mlflow, seldoncore, jupyter notebooks, kubernetes, istio.. list is endless. All these were oss, there were hundred others which are commerical products. Which will be overwhelming for DS profile.
Forgot to mention this, found this to be an economical way to learn MLOPS - https://www.manifoldailearning.in/courses/Complete-MLOps-BootCamp-654ddf11e4b004edc19e2649
Found this coaching- but found it costly .. My colleague mentioned that it is worth it..
I am thinking to join it
Design machine learning systems by chip huyen is a great book for MLops.I guess for productionizing mlops there were classes from applied ai course now it's shut down.You need to find it on Torrent or telegram I guess
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