Coursera – IBM DevOps and Software Engineering Professional Certificate 2022-10

Description

IBM DevOps and Software Engineering Professional Certificate is a comprehensive DevOps training and software engineering suite published by Coursera Academy. This course will cover very important topics such as agile software development, scrum, CI/CD and native cloud computing, and will provide you with valuable skills. DevOps engineers and professionals are now very popular and there are many job opportunities for this group of people. According to a study by the GitHub Institute, job opportunities in the Duaps region will increase by more than 122% over the next 5 years. Your main tool in this tutorial is the Python programming language and scripting in the Linux shell.

What you will learn in IBM DevOps and Software Engineering Professional Certificate

Behaviour-based development
Test-driven development
Implementing Non-Downtime Deployment
Free scripting method in Linux
Basic principles and concepts of the Python programming language
Create a project and manage different versions of it in the GitHub a service
Contain an application with Docker, Cobrantize and OpenShift
Development of applications based on a microservices architecture
simple computing
Design and development of case and scenario tests
Code and server security
Monitoring and troubleshooting the cloud software development and implementation process
Agile software development

Course specifications

Editor: Coursera
Instructors: John Rofrano, Rav Ahuja, Ramesh Sannareddy, Upkar Lidder, Joseph Santarcangelo and Alex Parker
French language
Beginner level
institution/university: IBM
Number of lessons: 13
Duration: Approximately 10 months to complete – Suggested pace of 3 hours/week

IBM DevOps and Software Engineering Professional certificate subjects:

COURSE 1
Introduction to DevOps
COURSE 2
Introduction to cloud computing
COURSE 3
Introduction to Agile Development and Scrum
COURSE 4
Practical introduction to Linux commands and shell scripts
COURSE 5
Get started with Git and GitHub
COURSE 6
Python for Data Science, AI, and Development
COURSE 7
Python project for AI and app development
COURSE 8
Introduction to containers with Docker, Kubernetes and OpenShift
COURSE 9
Application development using microservices and serverless
COURSE 10
Introduction to Test Driven Development (TDD)
COURSE 11
Continuous Integration and Continuous Delivery (CI/CD)
COURSE 12
Application Security and Monitoring
COURSE 13
DevOps Synthesis Project

Preconditions

What prior knowledge is needed?

No specialized experience is necessary. Only basic computer and IT knowledge is required. Suitable for people with and without a university degree. No prior programming experience is required, but will also benefit those with some experience in software development or operations.