Courses

Cloud Computing (Specialization: 4 Courses)

Publisher: Coursera + Duke

Release Date: 4/1/2021

Building Cloud Computing Solutions at Scale Specialization Launch Your Career in Cloud Computing. Master strategies and tools to become proficient in developing data science and machine learning (MLOps) solutions in the Cloud

What You Will Learn

  • Build websites involving serverless technology and virtual machines, using the best practices of DevOps
  • Apply Machine Learning Engineering to build a Flask web application that serves out Machine Learning predictions
  • Create Microservices using technologies like Flask and Kubernetes that are continuously deployed to a Cloud platform: AWS, Azure or GCP

Courses in Specialization

duke-cloud

Become a ML Engineer for Microsoft Azure

Publisher: Udacity

Release Date: Sept, 2020

DevOps Engineer for Microsoft Azure

Become a DevOps Engineer for Microsoft Azure

Publisher: Udacity

Release Date: Sept, 2020

DevOps Engineer for Microsoft Azure

Command Line Automation in Python

Publisher: DataCamp

Track: Data Engineering Track

Release Date: November, 2019

Command Line Automation in Python

Abstract

There are certain skills that will stay with you your entire life. One of those skills is learning to automate things. There is a motto for automation that gets straight to the point, “If it isn’t automated…it’s broken”. In this course, you learn to adopt this mindset. In one of the many examples, you will create automation code that will traverse a filesystem, find files that match a pattern, and then detect which files are duplicates. Following the course, you will be able to automate many common file system tasks and be able to manage and communicate with Unix processes.

Become a Cloud DevOps Engineer

Publisher: Udacity

Track: Nanodegree Program

Release Date: Summer, 2019

Cloud DevOps

Abstract

Learn to design and deploy infrastructure as code, build and monitor CI/CD pipelines for different deployment strategies, and deploy scaleable microservices using Kubernetes. At the end of the program, you’ll combine your new skills by completing a capstone project.

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