_:n8e77a0ecfab24d3cba87bc8304f82441xb24
<http://schema.org/reviewBody>
"I love the content Lak and the team generates and this is a great \"sneak peek\", but actually my experience in production is that details matter - a lot! This is why e.g. a 30 minute tutorial on deploying a deep learning model on a VM/CMLE, with pipelines in dataflow would actually take a few days to figure out. \nFor the courses from GCP to be really effective, a section with gotchas is needed: how does that work in real scenarios, like VPNs, security, package management, dataflow packages conflicts, limitations of language choice (e.g streaming and python)\nAlso, it wouldn't hurt to make the code cleaner. The repositories are a mess and the spagetti shell scripts, honestly, aren't the best idea."
<https://ko.coursera.org/learn/gcp-big-data-ml-fundamentals/reviews?authMode=signup&page=22>