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Devops Courses

DevOps courses can help you learn continuous integration, continuous delivery, infrastructure as code, and monitoring practices. You can build skills in collaboration between development and operations teams, automation of workflows, and troubleshooting deployment issues. Many courses introduce tools like Docker for containerization, Jenkins for automation, and Kubernetes for orchestration, illustrating how these skills enhance software delivery and operational efficiency.

Popular Devops Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft DevOps Engineering

    Skills you'll gain: CI/CD, Azure DevOps, Site Reliability Engineering, Terraform, DevOps, Infrastructure as Code (IaC), Azure DevOps Pipelines, Continuous Deployment, Cloud-Native Computing, Continuous Delivery, DevSecOps, Incident Management, Continuous Integration, Kubernetes, Hardening, Cloud Infrastructure, Incident Response, Enterprise Architecture, Technical Communication, Performance Metric

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    234 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    633 reviews

    Advanced · Specialization · 3 - 6 Months

  • P

    Packt

    AWS Certified DevOps Engineer - Professional

    Skills you'll gain: Amazon CloudWatch, CI/CD, Application Deployment, Cloud Deployment, Serverless Computing, Devops Tools, Application Lifecycle Management, DevOps, Amazon Web Services, AWS CloudFormation, Cloud-Native Computing, Continuous Integration, Infrastructure as Code (IaC), Continuous Delivery, Cloud Development, Containerization, Cloud Applications, Cloud Security, IT Automation, System Monitoring

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    DevOps Project - 2022: CI/CD with Jenkins Ansible Kubernetes

    Skills you'll gain: Continuous Integration, Devops Tools, DevOps, Apache Tomcat, Kubernetes, Docker (Software), Continuous Deployment, Apache Maven, Application Deployment, Containerization, Amazon Web Services, YAML, Git (Version Control System)

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Advanced Kubernetes

    Skills you'll gain: Kubernetes, Role-Based Access Control (RBAC), CI/CD, Application Deployment, Network Troubleshooting, DevOps, Performance Tuning, Scalability, Continuous Integration, Containerization, Continuous Delivery, Continuous Deployment, Prometheus (Software), Package and Software Management, Authorization (Computing), Network Security, Network Performance Management, Identity and Access Management, Network Routing, Cyber Security Policies

    3.8
    Rating, 3.8 out of 5 stars
    ·
    31 reviews

    Advanced · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Preview
    Preview
    C

    Coursera

    Advanced ALM with Azure DevOps & GitHub Integration

    Skills you'll gain: Application Lifecycle Management, Azure DevOps Pipelines, DevSecOps, Azure DevOps, DevOps, Continuous Delivery, Devops Tools, Software Quality Assurance, Release Management, Software Quality (SQA/SQC), CI/CD, Git (Version Control System), Verification And Validation, Continuous Integration, GitHub, Software Testing, Security Controls, Collaborative Software, Development Environment, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    YAML Fundamentals for DevOps, Cloud and IaC Engineers

    Skills you'll gain: Extensible Markup Language (XML), Ansible, Infrastructure as Code (IaC), Devops Tools, JSON, Kubernetes, DevOps, Microsoft Visual Studio, Python Programming, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    DevOps Platforms & Source Control

    Skills you'll gain: Azure DevOps, Terraform, DevOps, Azure DevOps Pipelines, Infrastructure as Code (IaC), Kubernetes, CI/CD, Enterprise Architecture, GitHub, Governance, Microsoft Azure, Role-Based Access Control (RBAC), Workflow Management, Release Management, Generative AI Agents, Git (Version Control System), Code Review, IT General Controls (ITGC), Identity and Access Management, Capacity Management

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Launch Your DevOps Engineering Career

    Skills you'll gain: Incident Management, Incident Response, Technical Communication, Performance Metric, Cloud Infrastructure, DevOps, Devops Tools, Systems Design, System Design and Implementation, Business Metrics, CI/CD, Automation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep AZ-400: Microsoft DevOps Engineer Expert

    Skills you'll gain: Azure DevOps Pipelines, CI/CD, Authorization (Computing), Package and Software Management, Infrastructure as Code (IaC), Continuous Delivery, Authentications, Application Deployment, Azure DevOps, Continuous Integration, Cloud Deployment, DevSecOps, DevOps, OAuth, Security Controls, GitHub, Continuous Deployment, Git (Version Control System), Agile Methodology, Performance Tuning

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Fabric Analytics Engineer

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Architecture, Star Schema, Microsoft Azure, Dataflow, Extract, Transform, Load, Dependency Analysis, Transaction Processing, Transact-SQL, Change Control, PySpark, Capacity Management, Information Management, Microsoft Power Platform, Data Quality, Apache Spark, Power BI, Operational Databases

    Advanced · Professional Certificate · 3 - 6 Months

1234…6

In summary, here are 10 of our most popular devops courses

  • Microsoft DevOps Engineering: Microsoft
  • DevOps, DataOps, MLOps: Duke University
  • MLOps | Machine Learning Operations: Duke University
  • AWS Certified DevOps Engineer - Professional: Packt
  • DevOps Project - 2022: CI/CD with Jenkins Ansible Kubernetes: Packt
  • Advanced Kubernetes: LearnQuest
  • Advanced ALM with Azure DevOps & GitHub Integration: Coursera
  • YAML Fundamentals for DevOps, Cloud and IaC Engineers: Packt
  • DevOps Platforms & Source Control: Microsoft
  • Launch Your DevOps Engineering Career: Microsoft

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Frequently Asked Questions about Devops

DevOps is a way of building and running software that brings development, operations, and automation practices together. It often focuses on faster, more reliable delivery through CI/CD pipelines, infrastructure as code, monitoring, containers, cloud platforms, and collaboration across teams. Courses on Coursera such as IBM’s Introduction to DevOps and DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC from KodeKloud introduce these concepts through practical engineering workflows. Learning DevOps can help you understand how software moves from code to production and how teams improve reliability along the way.‎

DevOps is used in roles that build, deploy, operate, or support modern software systems. Common examples include DevOps engineer, site reliability engineer, cloud engineer, platform engineer, software engineer, systems administrator, release engineer, and automation engineer. These roles often work with tools for CI/CD, Linux, containers, Kubernetes, cloud services, monitoring, and infrastructure as code. Courses such as Microsoft DevOps Engineering, IBM DevOps and Software Engineering, and DevOps and AI on AWS can help learners connect DevOps practices to real workplace tasks and technical workflows.‎

Before learning DevOps, it helps to understand basic programming, operating systems, networking, and how software applications are built. Familiarity with Linux commands, Git, scripting, and cloud concepts can make topics like CI/CD, containers, and infrastructure automation easier to follow. You do not need advanced experience to begin, but a foundation in software or IT concepts can make the learning path smoother. Beginner-friendly options such as IBM’s Introduction to DevOps and IBM DevOps, Cloud, and Agile Foundations can help you build that base before moving into more technical tools.‎

Skills that complement DevOps include cloud computing, Linux, Git, scripting, containerization, Kubernetes, cybersecurity, agile methods, and observability. Infrastructure as code, automated testing, and configuration management are also useful because they support repeatable and reliable delivery workflows. AI-related skills may also be relevant as teams explore automation and intelligent operations, as reflected in courses like DevOps and AI on AWS. On Coursera, you can pair DevOps courses with cloud, software engineering, and platform-focused learning to build a more complete technical skill set.‎

A good way to start learning DevOps is to begin with the core ideas, then practice the tools used in delivery pipelines and cloud environments. Start with concepts like agile collaboration, version control, CI/CD, containers, monitoring, and infrastructure as code before taking on larger projects. IBM’s Introduction to DevOps and IBM DevOps, Cloud, and Agile Foundations are useful starting points, while KodeKloud’s DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC can support more hands-on tool practice. Choose a course that matches your current comfort level with software, systems, and cloud concepts.‎

Yes. You can start learning devops on Coursera for free in two ways:

  1. Preview the first module of many devops courses at no cost. This includes video lessons, readings, graded assignments, and Coursera AI (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in devops, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Some strong beginner options include IBM’s Introduction to DevOps and IBM DevOps, Cloud, and Agile Foundations. These courses introduce DevOps principles, agile ways of working, cloud concepts, and the role of automation in software delivery. Learners who want a broader software path can also consider IBM DevOps and Software Engineering, while those ready for more technical practice may explore DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC from KodeKloud. When choosing, look for courses that match your current background and include practice with tools you want to use.‎

DevOps courses typically cover collaboration practices, CI/CD pipelines, version control, Linux, containers, Kubernetes, cloud platforms, infrastructure as code, monitoring, and automation. Many also introduce agile methods, testing, deployment strategies, and reliability practices used to move software from development to production. The Coursera selection reflects this range, with courses such as Microsoft DevOps Engineering, IBM Applied DevOps Engineering, DevOps and AI on AWS, and KodeKloud’s Linux, Docker, Kubernetes, CI/CD, and IaC-focused course. Reviewing course syllabi can help you choose between foundations, cloud-focused learning, and hands-on engineering practice.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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