Friday, March 22, 2019

DevOps 101 for Data Science / Data Analyst / Big Data

What you'll learn in this data science course:

2 hour in-person, on-site course in NYC.

This class is meant for Data Science, Data Engineer and Big Data Developers / Admin.

The main language for this class would be Python and cloud used AWS.

This course will help you learn DevOps skills like Continuous Integration, Delivery and Deployment, Infrastructure as a Code and more using DevOps tools like Git, SVN, Docker, Docker Swarm, Kubernetes, Puppet, Ansible, Selenium, Maven, Nagios, etc.

The topics discussed would be:
  • Introduction to DevOps methodology
  • Introduction to AWS Docker using Amazon Elastic Container Service (Amazon ECS)
  • Implementing Software Version Control example Git
  • Software Virtualization using Containerizing Code on production using Docker
  • Creating CI/CD Pipelines using Jenkins
  • Configuration Management using Puppet and Ansible
  • Automating build and test using Selenium and Maven. Python & Selenium.
  • Container Orchestration using Kubernetes
  • Performance Tuning and Monitoring using Nagios
Course is taught by expert instructor with experience in industry and teaching.

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.