ML Course feedback
Thank you for participating in our early release of our ML course content. 

We want to expose the tools and architectures used by global companies in production ML solutions to make Machine Learning more accessible to businesses. We find content online is very fragmented, not representative of real architectures or tooling and also lacks the practical nature. 

We want to hear your feedback so we can keep improving our content and release this to the world
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How satisfied were you with the course? *
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How relevant and helpful do you think it was for your career? *
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Did you like the medium the course was presented in?
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Podia
Google Colab
Github
How satisfied were you with the content? *
1 = Very dissatisfied   5 = Very satisfied
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Low-code Model Deployment
Deploying to Kubernetes
Monitoring Models in Production
Model Experiments and Versioning
Implementing a Feature Store
What did you like most about the content? *
What did you dislike the most about the content? *
What content/tools/solutions would you like to know more about? *
Does your business cover any educational expenses within reason?
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If your business didn't cover the cost, what would you pay for a course like this? (In dollars)
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