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Training

XomniaTrainingsDocker for Data Scientists
  • 09:30 - 13:00
  • Xomnia HQ
  • €400

For questions or additional information view contact information below

Docker for Data Scientists

“It works on my machine”. There can be lots of friction when developing, deploying and running code in a production system. The discrepancy between environments can lead to non-deterministic results. Docker puts all your applications along with their environment into containers so they can easily be shipped to production, solving a whole range of other problems, such as reliability, scalability, reproducibility.

This course takes a hands-on approach to teach the essentials of Docker, with focus on the data scientist’s workflow. You will create your own Dockerfiles, build docker images and spin-up some containers, so that you can feel confident to say, that your analytics results are reproducible by other data scientists and that your predictive models are easy to deploy.

Tools

  • Docker
  • Bash / Command Line
  • Docker-compose
  • Kubernetes

Techniques

  • Deployment
  • Containerizing

Requirements: The course requires basic knowledge of the command line and bash scripting.

  • Big data engineering
  • Container
  • Deployment
  • Docker
  • Production
  • Service