Professional Training

IBM DevOps and Software Engineering Professional Certificate

Coursera, Online
Length
3 months
Next course start
Start anytime See details
Course delivery
Self-Paced Online
Length
3 months
Next course start
Start anytime See details
Course delivery
Self-Paced Online
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Course description

IBM DevOps and Software Engineering Professional Certificate

DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce.

This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering.

The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.

You will learn to program with the Python language and Linux shell scripts, create projects in GitHub, containerize and orchestrate your applications using Docker, Kubernetes & OpenShift, compose applications with microservices, employ serverless technologies, perform continuous integration and delivery (CI/CD), develop testcases, ensure your code is secure, and monitor & troubleshoot your cloud deployments.

Guided by experts at IBM, you will be prepared for success. Labs and projects in this certificate program are designed to equip job-ready hands-on skills that will help you launch a new career in a highly in-demand field.

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Upcoming start dates

1 start date available

Start anytime

  • Self-Paced Online
  • Online
  • English

Suitability - Who should attend?

Only basic compter and IT literacy is required. No prior programming experience or college degree is required.

Outcome / Qualification etc.

What you will learn

  • Develop a DevOps mindset, practice Agile philosophy & Scrum methodology - essential to succeed in the era of Cloud Native Software Engineering
  • Create applications using Python language, using various programming constructs and logic, including functions, REST APIs, and libraries
  • Build applications composed of microservices and deploy using containers (e.g. Docker, Kubernetes, and OpenShift) & serverless technologies
  • Employ tools for automation, continuous integration (CI) and continuous deployment (CD) including Chef, Puppet, GitHub Actions, Tekton and Travis.

Training Course Content

  • Introduction to DevOps
  • Introduction to Cloud Computing
  • Introduction to Agile Development and Scrum
  • Introduction to Software Engineering
  • Hands-on Introduction to Linux Commands and Shell Scripting
  • Getting Started with Git and GitHub
  • Python for Data Science, AI & Development
  • Python Project for AI & Application Development
  • Introduction to Containers w/ Docker, Kubernetes & OpenShift
  • Application Development using Microservices and Serverless
  • Introduction to Test Driven Development (TDD)
  • Continuous Integration and Continuous Delivery (CI/CD)
  • Application Security and Monitoring
  • DevOps Capstone Project

Course delivery details

This course is offered through IBM Skills Network, a partner institute of Coursera.

Suggested pace of 10 hours/week

Expenses

Please visit the Institute website for more information about tuition fees

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