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DevOps is a set of practices, tools, and a cultural philosophy that automates and integrates the processes between software development and IT teams.


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Course Overview

DevOps is a set of practices, tools, and a cultural philosophy that automates and integrates the processes between software development and IT teams. The market size for DevOps exceeded $7 billion in 2021 and is expected to grow at a CAGR of over 20% from 2022 to 2028 to a value of over $30 billion.

In 2019, the unemployment rate for DevOps engineers was less than 2% (1.88%), down from a peak of 4.56% in 2010. With the increasing demand for DevOps engineers, the unemployment rate of DevOps engineers is going to further reduce in the coming years.

What Are Key DevOps Engineer Requirements and Skills?

DevOps engineers need at least a bachelor’s degree in computer science, computer engineering, or a related field. DevOps engineers also usually earn one or more certifications, such as Amazon Web Services Certified DevOps Engineer or Microsoft Certified DevOps Engineer Expert. Please note that having a bachelor’s degree is relative to a large extent.

Course Outline

  1. Introduction to DevOps:

    • Definition, principles, and benefits of DevOps.
    • Continuous integration, continuous delivery, and continuous deployment.
  2. DevOps Tools and Technologies:

    • Overview of popular DevOps tools such as Jenkins, Git, Docker, Kubernetes, etc.
    • Understanding their purpose, functionalities, and integration.
  3. Agile Methodology:

    • Introduction to Agile methodology and its impact on software development.
    • Agile practices and principles.
  4. Continuous Integration (CI):

    • Continuous integration concepts and best practices.
    • Build automation, testing automation, and deployment automation.
  5. Continuous Delivery (CD):

    • Continuous delivery concepts and best practices.
    • Release automation and deployment strategies.
  6. Configuration Management:

    • Configuration management concepts and best practices.
    • Infrastructure as Code (IaC) tools like Ansible, Chef, and Puppet.
  7. Containerization:

    • Containerization concepts and best practices.
    • Docker and Kubernetes.
  8. Monitoring and Logging:

    • Introduction to monitoring and logging.
    • Tools like Nagios, Zabbix, and Splunk.
  9. Cloud Computing:

    • Introduction to cloud computing and its advantages.
    • Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
  10. DevOps Culture:

    • Creating a DevOps culture and implementing DevOps practices in the organization.

Course Objectives

In this Course, You’ll be able to:

  • Understanding the DevOps methodology and its principles
  • Learning how to design and deploy software applications using DevOps practices
  • Familiarizing with the tools and technologies used in DevOps, such as continuous integration/continuous delivery (CI/CD) pipelines, configuration management tools, and monitoring and logging systems
  • Learning how to collaborate effectively with development and operations teams to improve communication and productivity
  • Developing skills in automation, testing, and security practices to ensure the reliability and stability of software applications
  • Understanding the role of DevOps in cloud computing and containerization technologies
  • Gaining knowledge in agile project management methodologies and how to apply them to DevOps projects
  • Learning how to troubleshoot issues in a DevOps environment and how to implement continuous improvement processes.

Pre-requisites to becoming a DevOps Engineer

Becoming a DevOps engineer requires a passion for writing code and solving development problems, a bachelor’s degree, and some hands-on experience.

Target Students/Prerequisites

This course is intended for:

IT professionals, software developers, system administrators, operations engineers, and anyone involved in software delivery and deployment. The course may also be suitable for project managers and business stakeholders who want to understand how DevOps practices can improve software development and delivery processes.