Learn DevOps
12 expert-rated courses covering DevOps. Compared by rating, price, difficulty, and job relevance so you can pick the right one.
The current SkillsetCourse catalog highlights the depth of DevOps training available, with courses offered on platforms like Udemy and Coursera. All 14 courses provide certification options, and three are available for free. Related skills such as MLOps and Linux further enhance the learning experience, preparing learners for diverse roles in technology.
Catalog analysis updated . Ratings are independent editorial scores. Read the rating methodology.
Key Facts About DevOps
- 1DevOps combines development and operations to streamline software delivery processes.
- 2SkillsetCourse offers 14 DevOps courses across various platforms.
- 3All 14 courses provide certification upon completion.
- 4Three courses are available for free, enhancing accessibility for learners.
- 5Related skills like AWS and Google Cloud are essential for DevOps professionals.
Available on
Top DevOps Courses
IBM MLOps and AI DevOps Fundamentals
Learn MLOps practices with IBM Cloud Pak and Watson. Cover model lifecycle management, CI/CD for ML, and AI governance.
Ultimate Agentic AI DevOps with Claude Code
Build AWS infra with Agentic AI DevOps Claude Code: Skills, Agents, Guardrails, MCP tools, Memory + GitHub Actions OIDC.
Accelerate App Development with Gemini CLI
"This course is designed for app developers and DevOps engineers who want to work smarter by using Gemini CLI, a generative AI agent made for the terminal and powered by Gemini. This course discusses Gemini CLI installation and configuration, and introduces use cases and security best practices. It explains commands, tools, MCP servers, and extensions.
Build a Certification Study Guide: PCDOE Exam Prep
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud DevOps Engineer certification exam. You'll review Gemini Notebook features, add source materials, and use effective prompts to create a study guide that helps you prepare for the exam.
Designing Production LLM Architectures
Learn to design and deploy scalable LLM systems for production environments. Cover system architecture, performance optimization, cost management, and reliability considerations.
Google Cloud Infrastructure for AWS Professionals
This is a four-course fast-track series for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. The learner will apply the knowledge of concepts and technologies in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.
Automate Software Installation With Ansible
Learn to automate software installation and configuration management using Ansible, an open-source automation platform. This course covers playbooks, roles, and best practices for efficient IT operations and infrastructure management. Gain hands-on experience deploying applications at scale.
Architecting with Google Compute Engine
This specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This class is intended for the following participants: ● Cloud Solutions Architects, DevOps Engineers. ● Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Note: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. The new Specialization has updated, improved content that will help you if you are preparing for the Google Certified Professional - Cloud Architect exam as well as the Associate Cloud Engineer exam. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
DevOps and AI on AWS
Learn DevOps practices for AI on AWS including CI/CD, Infrastructure as Code, containerization, and serverless computing.
Installing OpenClaw (formerly Clawdbot) On Azure Linux VM
Deploy OpenClaw on Azure Linux VM and run your autonomous AI assistant securely.
MLOps Foundations
Master the fundamentals of MLOps to manage the complete machine learning lifecycle from development to production. Learn best practices for model deployment, monitoring, and maintenance.
Computer Science & Robotics - Linux to ROS 2
Master Linux, Docker, ROS 2, and Git - the essential toolkit to build, simulate, and deploy modern robots.
Pro Tips for Learning DevOps
- #1Start with foundational courses like 'Architecting with Google Compute Engine' to build essential skills.
- #2Focus on practical applications, such as 'Installing OpenClaw On Azure Linux VM,' to gain hands-on experience.
- #3Consider learning related skills like Linux or AWS to complement your DevOps training.
- #4Engage with community forums and resources to stay updated on DevOps trends and tools.
Why Learn DevOps?
- Learning DevOps equips professionals with skills to improve software delivery efficiency and collaboration.
- DevOps knowledge enhances career prospects in tech roles focused on automation and cloud services.
- Understanding DevOps practices prepares learners for roles that require cross-functional teamwork.
- Proficiency in DevOps tools can lead to opportunities in high-demand fields like AI and security.