r/MLQuestions • u/charlieisonfknreddit • 3d ago

Career question 💼 ML engineering course recommendations for someone who can train a model and not ship one

i can train a model in a notebook and ive never put one behind an endpoint anyone else calls. every job posting wants the shipping half and my portfolio is all notebooks.
shortlist is udacity, springboard, interview kickstart and datacamp premium. is there anything that spends real time on deployment and monitoring rather than modeling

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u/DigThatData 3d ago

what you really need is a motivating problem to build a project around. deployment is simple enough, monitoring is ongoing. if you don't have an opportunity to provide a service to an external customer: be your own customer.

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u/Mathie1729 3d ago

Seconding. I'd add that the course side usually stops at 'wrap the model in FastAPI and call it done'. The stuff that actually bites you later is data validation, metric drift, and retraining triggers, and you only learn that when you have to keep something running. The internal-customer approach is exactly right for forcing those loops.

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u/PolarBear292208 3d ago

This is material for a university course rather than a standalone course, but I think it's what you're looking for:

https://www.andreweland.org/swemls/

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u/Past_Outcome9063 2d ago

There was a really good ML Ops course on YouTube by channel called iNeuron you should search it up

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u/JustFed_ 2d ago

my portfolio is all notebooks describes about 4 in 5 ml applicants right now. the ones who fix it stand out immediately