When I started to self-study machine learning almost all available teaching materials focused on building/training models and very few focused on building production grade ML systems. Here's a list of some great courses that have recently filled that gap 🧵1/6
@chipro is teaching a great new course at stanford called ML System design ( https://stanford-cs329s.github.io/ ) which again covers almost everything needed to deploy production grade ML system. It covers lots of the practical topics you wished were covered in other ML courses.

🧵 (3/5)
@madewithml ( https://madewithml.com/courses/mlops/ ) has a full suite of accessible tutorials on the main aspects needed to build and deploy ML systems developed by @GokuMohandas. The tutorials are short and to the point but exactly what you need to deliver value in industry:

🧵 (4/6)
Finally @DeepLearningAI_ announced they're launching a new course 'Machine Learning Engineering for Production' on May 12th. I can't vouch for the course yet but if it's anything like the rest of the http://DeepLearning.ai  material it will be 👌
https://twitter.com/DeepLearningAI_/status/1387783753645314053
🧵 (6/6)
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