Learn DevOps in Singapore with hands-on training on Linux, Shell Scripting, Git, Jenkins, Maven, SonarQube, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack. Build and deploy real CI/CD pipelines, containerized applications, and monitored production workflows with the tools used in the syllabus.
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Learning DevOps is only useful when you can apply it in real jobs. Inventateq focuses on helping you present your hands-on Linux, CI/CD, container, infrastructure, monitoring, and security skills in a way employers in Singapore can understand.
Singapore hires DevOps talent across software companies, cloud teams, platform engineering groups, and infrastructure operations. As experience grows, pay increases with your ability to manage releases, cloud automation, observability, and production reliability.
DevOps Average Salary by Experience
Singapore hires DevOps talent across software companies, cloud teams, platform engineering groups, and infrastructure operations. As experience grows, pay increases with your ability to manage releases, cloud automation, observability, and production reliability.
DevOps Average Salary by Experience
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Inventateq teaches DevOps as a working delivery process, not as isolated tools. The course follows the actual flow in the syllabus: Linux administration, Shell scripting, Git, Maven, SonarQube, Jenkins, Docker, Kubernetes, Terraform, Ansible, monitoring, logging, and production deployment.
We stand apart through our commitment to:
The online DevOps class for Singapore learners is delivered live with instructor interaction and practical demonstrations. You can join from anywhere and still complete the same labs, projects, and assessments used in the classroom.
Useful for developers who want to understand CI/CD, build automation, and deployment flow.
Good for admins who already work with Linux, servers, networking, and troubleshooting.
Helps cloud professionals add automation, containers, monitoring, and infrastructure as code.
Fits managers who need a clear view of release pipelines, operations, and production controls.
Suitable for learners building a practical path into DevOps with guided hands-on training.
Duration: 80 hours of structured DevOps training
Mode: Offline classroom and live online options
Learning style: Hands-on labs with guided implementation
Focus: CI/CD, cloud automation, containers, and monitoring
No prior DevOps experience is required to start this course.
Rated 4.9/5
Inventateq keeps the DevOps course practical from the first module to the last. You learn the tools in sequence, from Linux and scripting to deployment, security, monitoring, and production readiness, so the full workflow makes sense.
You will complete guided labs across automation, deployment, security, and monitoring. By the end, you can explain how a working DevOps pipeline is built, secured, deployed, and observed.
Learn the full path from code commit to build, scan, package, deploy, and monitor. This helps you understand how DevOps work fits into release teams and production support.
The course uses Linux, Git, Jenkins, Maven, SonarQube, JFrog, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack. You practice the actual tools that appear in DevOps job descriptions.
Shell scripting modules teach you how to write scripts for monitoring, backups, deployment, and scheduled tasks. These are the kinds of scripts that support real operations work.
You learn how to build images, manage containers, push to registries, and deploy with Kubernetes. This is useful for teams running modern application delivery pipelines.
Terraform and Ansible modules show how to provision infrastructure and manage configuration in a repeatable way. That is important for stable cloud and server operations.
Prometheus, Grafana, and ELK Stack training helps you track metrics, visualize health, and analyze logs. These skills matter when a system needs to be reliable in production.
This certification validates that you have completed practical training across DevOps tools, pipeline design, infrastructure automation, containerization, monitoring, and logging. It helps employers see that you understand the full workflow, not just one tool in isolation.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Yes, it is suitable for beginners who are ready to learn systematically. The course starts with Linux, shell scripting, and version control before moving into CI/CD, containers, infrastructure as code, and monitoring. That structure helps new learners build confidence step by step.
Yes, the program is built around practical implementation. You work on pipeline design, container deployment, infrastructure automation, monitoring, logging, and a complete end-to-end DevOps project. This gives you material you can discuss during interviews.
You can target roles such as Junior DevOps Engineer, DevOps Engineer, Cloud Engineer, Site Reliability Engineer, Automation Engineer, and related infrastructure roles. The course also supports learners moving toward DevSecOps and cloud operations paths. Your exact role depends on your background and how you present your project work.
A strong programming background is not required. Basic technical comfort helps, but the course teaches shell scripting and the core DevOps workflow from the ground up. Developers, system admins, and cloud learners can all benefit from the syllabus.
Yes, live online training is available for learners in Singapore. The online format still includes instructor-led sessions and hands-on labs, so you can practice the same tools used in the classroom. It is a practical option if you want flexibility without losing guided support.
The course duration is 80 hours. That time is used for Linux, scripting, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, monitoring, logging, and the capstone pipeline work. The format is designed to cover the full workflow in a structured way.
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