Deployment of Machine Learning Models
Below are the top discussions from Reddit that mention this online Udemy course.
Learn how to integrate robust and reliable Machine Learning Pipelines in Production
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Taught by
Soledad Galli
1
Reddit Posts and Comments
0 posts • 12 mentions • top 10 shown below
18 points • takuonline
My best resource was this course. https://www.udemy.com/course/deployment-of-machine-learning-models/
Its very good and will teach you you need to know from building machine learning pipelines (feature engineering + feature selection + model) through to deployment using docker +Circle ci + AwS/heroku.
It was an eye opener for me and l hope it helps you too.
6 points • Strangeglove
Looks like, at the recommendd pace, AI Engineering seemed promising, and would be $100. Would probably pair with this guy next time it's on sale to get a taste of the prod life.
What's the verdict, r/ds - is the IBM cert course worth it?
1 points • BioGeek
https://www.udemy.com/course/deployment-of-machine-learning-models/
1 points • createAnAccount13
Udemy has a Machine Learning in Deployment course
1 points • boy_named_su
there's a udemy course by a google lady:
https://www.udemy.com/course/deployment-of-machine-learning-models/
i enjoyed her feature engineering course
1 points • polandtown
https://www.udemy.com/course/deployment-of-machine-learning-models/
really good course, took me a few weeks to get through. it might interest you.
1 points • cleverfool11
https://www.udemy.com/course/deployment-of-machine-learning-models/
I'd wait until it goes on sale, i got it for 10 bucks. Her other courses are good as well. She also had a feeture engineering, feature selection and testing and monitoring of ml models.
1 points • PM_Me_Food_stuffs
https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/
https://www.udemy.com/course/deployment-of-machine-learning-models/
2 points • daturkel
TrainInData offers some great courses focusing on ML in production. I still have a couple lessons from Testing and Monitoring ML Systems left, but I found it to be high quality material and well-explained. A coworker enjoyed their Deploying ML Models course.
Another good resource is company blogs. Not always strictly ML related, but:
all have high-quality tech blogs.
1 points • xepo3abp
What exactly do you mean by "cloud computing ML frameworks"?
The frameworks (tensorflow, keras, fastai) - are the same, local or cloud. I think what you're referring to is basically using cloud for ML.
If so there are 2 parts to it:
- Training
- Deployment / inference
Training is done the same locally or in the cloud, except for a few extra steps due to SSH. Here's a simple tutorial. If you want something more advanced, end to end, I know this dude does nice courses on AWS. They're a bit theoretical tho (like he's not a practitioner).
Mind that AWS also has an "autoML" solution called Sagemaker. Probably not what you want if you're a CS grad.
Deployment / inference - once you have your model you put it on a server and create an API. Here any tutorial to build a webserver should do + you simply upload your model with the rest of the code. I did this course on deploying ML at some point and enjoyed it. You could also look into serverless / lambda for ML deployment.
Alternatively to all this, if you just need to cheaply and quickly train your model check out https://gpu.land/. It's a little side project that I built. We offer Tesla V100 instances at dirt-cheap prices ($0.99/hr for 1x Tesla). That's 1/3 of what you'd pay at GCP/AWS/paperspace!
If you get any questions, let me know! Happy to help!