Post
Data Science & Analytics
1mo
julmivictor
·
currently not working
Does Data Scientist use Elastic Beanstalk and Codepipeline?
As a fresher I just deploy my machine learning project on Elastic Beanstalk using codepipeline. So, I wanted to know how much important this service is for the data scientist.
Thank you for your time 🙏
biryanienthu
1mo
An Assistant Manager
It’s great that you’re already exploring Elastic Beanstalk and Code Pipeline! These tools are more MLOps-oriented they are important for deploying and maintaining models in production.
goldenfire
1mo
student at
Babu Banarasi Das National Institute of Technology and Management, Lucknow
Great job exploring deployment as a fresher! Getting hands-on with these tools can open up some exciting opportunities in MLOps or data roles that involve a bit more engineering.
greatking
1mo
A Team Lead
Not every data scientist uses Elastic Beanstalk or CodePipeline daily, but it's a plus to know these tools, especially if you're moving towards MLOps. It helps streamline deployment and continuous integration!
a team manager
1mo
These tools are more for automating the deployment process, which is key when working on production-grade machine learning projects. Have you considered learning more about AWS services like SageMaker for ML-specific tasks?
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