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& #39;s a list of some great courses that have recently filled that gap https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread">1/6

@full_stack_dl ( https://fullstackdeeplearning.com/ )">https://fullstackdeeplearning.com/">... has lectures & labs focused on everything from tooling, data mgt, deployment, testing & monitoring. It& #39;s taught by @josh_tobin_ @sergeykarayev +. The course github repo is a particularly useful I return to https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
https://github.com/full-stac... class="Emoji" style="height:16px;" src=" https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread"> (2/6)

full-stack-deep-learning/fsdl-text-recognizer-project

The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer - full-stack-deep-learning/fsdl-text-recognizer-project

https://fullstackdeeplearning.com/

@chipro is teaching a great new course at stanford called ML System design ( https://stanford-cs329s.github.io/ )">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.

https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread"> (3/5)

@madewithml ( https://madewithml.com/courses/mlops/ )">https://madewithml.com/courses/m... 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:

https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread"> (4/6)

Two additional courses that I found really useful but which rarely get mentioned elsewhere are:
https://www.udemy.com/course/deployment-of-machine-learning-models/

https://www.udemy.com/course/de... href=" https://www.udemy.com/course/testing-and-monitoring-machine-learning-model-deployments/

They’re">https://www.udemy.com/course/te... taught by two experienced ML practitioners & great teachers @Soledad_Galli and @ChrisSamiullah

https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread"> (5/6)

Testing and Monitoring Machine Learning Model Deployments

ML testing strategies, shadow deployments, production model monitoring and more

https://www.udemy.com/course/deployment-of-machine-learning-models/

Finally @DeepLearningAI_ announced they& #39;re launching a new course & #39;Machine Learning Engineering for Production& #39; on May 12th. I can& #39;t vouch for the course yet but if it& #39;s anything like the rest of the http://DeepLearning.ai"> http://DeepLearning.ai  material it will be https://abs.twimg.com/emoji/v2/... draggable="false" alt="👌" title="OK-Hand" aria-label="Emoji: OK-Hand">
https://twitter.com/DeepLearningAI_/status/1387783753645314053
https://twitter.com/DeepLearn... class="Emoji" style="height:16px;" src=" https://abs.twimg.com/emoji/v2/... draggable="false" alt="🧵" title="Thread" aria-label="Emoji: Thread"> (6/6)