Practical DevOps for the data scientist

thecloudranger


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Description:

With DevOps being a common term and a role that organizations hire for, how does it apply to Machine learning (development, training, and deployment of models) in Python?

This session will clarify various DevOps buzzwords and myths and will include Machine learning examples and terms applicable to the data scientist/ML learners/anyone seeking to learn what DevOps is and how to use it from scratch for data and ML workloads in Python.

Prerequisites:

Attendees should be familiar with coding in Python and using Jupyter notebooks.

Speaker Info:

Mohammed Fazalullah (call me "Faz") is a Senior Developer Advocate for AWS who educates and empowers developers on how to achieve cloud capabilities through cloud technologies. An architect and a technical evangelist at heart, he speaks and runs workshops on serverless, containers and DevOps topics. He has designed and built products for over 18 years in the enterprise and SME space, along with building engineering teams and helping them scale.

Speaker Links:

  1. AWS re:Invent 2022 - Simplifying your infrastructure with Go, CDK, and cdk8s - https://youtu.be/7ScHZaQuehM
  2. AWS Nordics Office Hours - Visualize and create your serverless workloads with AWS Application Composer - https://www.twitch.tv/videos/1770557076
  3. Go Apps on AWS - CDK 💜 Go | S2 E11 | Build On Weekly - https://www.twitch.tv/videos/1773342293
  4. Dzone articles - https://dzone.com/users/4913078/mfaz.html

Section: Data Science, AI & ML
Type: Talks
Target Audience: Intermediate
Last Updated: