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Drive your career forward

Professional Certificate in
DevOps and Software Engineering Professional Certificate
IBM

What you will learn

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

Software Engineering professionals, especially those with DevOps skills, are in high demand! According to a recent GitLab report, the need for DevOps skills is expected to grow 122% over the next five years, making it one of the fastest growing markets in the workforce. Additionally, Glassdoor’s salary report shows the average total pay for a DevOps Engineer in the US is $121,000. There has never been a better time to start a DevOps career path.

This self-paced certificate program of online courses, built for beginners, will equip you with the key DevOps concepts and technical know-how to build your Software Development skills and knowledge with DevOps practices, tools, and technologies. By the end of this program, you will be prepared for an entry-level role in Software Engineering with an organization of DevOps practitioners.

You will develop skill sets in a variety of DevOps philosophies, fundamentals, and methodologies, including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development (BDD and TDD), and Zero Downtime Deployments. The program also touches on data science, cloud computing, programming languages, machine learning, continuous delivery, IBM cloud, and agile software development for DevOps professionals.

Guided by experts at IBM, you will learn how to:

  • program with the Python language and Linux shell scripts,
  • create projects on 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 test cases,
  • ensure your code is secure,
  • and monitor & troubleshoot your cloud deployments.
  • Labs and projects in this program are designed to equip you with job-ready hands-on skills to help you launch a new career in an in-demand field.

    This software engineering professional certificate is suitable for those with no or some programming experience and those with or without college degrees.

    Expert instruction
    15 skill-building courses
    Self-paced
    Progress at your own speed
    1 year 1 month
    7 - 10 hours per week
    $871.50
    USD
    For the full program experience

    Courses in this program

    1. IBM's DevOps and Software Engineering Professional Certificate Professional Certificate

    2. 10–14 hours per week, for 6 weeks

      Build the foundation for an in-demand Software Engineering related career. Explore fundamental software engineering principles, processes, architecture, tools, and stacks. Hear from software experts discuss what it takes to be successful.

    3. 3–4 hours per week, for 3 weeks

      This course is intended to help launch your career as a DevOps Professional. In this course you will learn to think, work, organize and measure DevOps - skills that you can use to build better products.

    4. 2–4 hours per week, for 3 weeks

      Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers.

    5. 3–4 hours per week, for 3 weeks

      This course will benefit anyone who wants to get started with working the Agile way. It is particularly suitable for IT practitioners such as software developers, development managers, project managers, product managers, and executives.

    6. 3–4 hours per week, for 1 weeks

      This mini-course describes shell commands and how to use the advanced features of the Bash shell to automate complicated database tasks. For those not familiar with shell scripting, this course provides an overview of common Linux Shell Commands and shell scripting basics.

    7. 6–8 hours per week, for 3 weeks

      Gain the skills to work with Version Control Systems Git and GitHub. Explore key concepts, including branching and repositories; practice forking, cloning, and merging workflows and build your portfolio as your final project.

    8. 4–10 hours per week, for 3 weeks

      This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

    9. 3–4 hours per week, for 1 weeks

      This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

    10. 12–16 hours per week, for 3 weeks

      This course introduces you to containers and its emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, and Istio. You will not only understand the concepts but also practice hands-on in the cloud.

    11. 6–8 hours per week, for 2 weeks

      Learn about Microservices architecture and Serverless computing. Understand their benefits and the process for deployment. Practice using multiple tools in hands-on labs. Create a serverless web application and deploy as a Microservice on OpenShift and as static files on Cloud Object Storage.

    12. 14–16 hours per week, for 4 weeks

      This course provides the fundamentals of Test Driven Development (TDD) and Behavior Driven Development (BDD), and why it’s essential for building quality applications and preventing bugs, reducing development costs and improving performance.

    13. 9–11 hours per week, for 5 weeks

      This course is an introduction to Continuous Integration and Continuous Delivery (CI/CD), a DevOps best practice to ensure code quality is achieved. It includes multiple hands-on labs using real-world tools to practice your CI/CD skills.

    14. 8–10 hours per week, for 5 weeks

      Learn to identify security vulnerabilities in applications and implement secure code practices to prevent events like data breaches and leaks. Become familiar with DevSecOps practices, and SAST for identifying security flaws.

    15. 8–10 hours per week, for 3 weeks

      Monitoring & Observability are must have skills for Developers and DevOps professionals. This course provides a comprehensive overview of these concepts and teaches you the hands-on skills to employ monitoring, observability, and logging for your application.

    16. 8–10 hours per week, for 5 weeks

      In this DevOps Capstone Project, you’ll demonstrate your skills and knowledge gained throughout this program with a real-world inspired hands-on project developing and deploying an application using CI/CD to showcase in your portfolio.

      • According to a recent GitLab report, the need for DevOps skills is expected to grow 122% over the next five years, making it one of the fastest growing markets in the workforce.
      • Glassdoor’s August 2022 salary report shows the average total pay for a DevOps Engineer in the US is $121,000.
      • Salary.com published the following in August 2022: The average DevOps Engineer salary in the United States is $124,566, but the salary range typically falls between $115,237 and $135,056.

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    $871.50
    USD
    15 courses in 1 year 1 month
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