Learn DevOps in Mountain View with the tools used in real delivery work: Linux, Shell Scripting, Git, Jenkins, Maven, SonarQube, JFrog, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK Stack, and AquaTrivy. This course is built around hands-on CI/CD, infrastructure as code, monitoring, security, and production deployment practice.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
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24,999₹
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Learning DevOps is only useful when you can apply it in a real job. Inventateq supports learners in Mountain View with practical placement guidance built around the roles covered in this course, from junior DevOps and build-release work to cloud engineering and SRE paths.
Mountain View and the wider California market hire DevOps talent across software, cloud, platform, and infrastructure teams. Salary grows with hands-on experience in Linux, CI/CD, containers, Kubernetes, cloud administration, automation, and security.
DevOps Average Salary by Experience
Mountain View and the wider California market hire DevOps talent across software, cloud, platform, and infrastructure teams. Salary grows with hands-on experience in Linux, CI/CD, containers, Kubernetes, cloud administration, automation, and security.
DevOps Average Salary by Experience
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Inventateq teaches DevOps the practical way, with the same tools and workflow steps used in production teams. The course follows the syllabus closely: Linux administration, Shell Scripting, Git, Maven, SonarQube, JFrog, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK Stack, and AquaTrivy.
We stand apart through our commitment to:
Live online DevOps training from Mountain View is interactive and practical, not recorded theory. You can attend from anywhere, follow the same lab flow, and work through Linux, Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, and monitoring exercises with the mentor in real time.
Useful for developers who want to understand CI/CD, build automation, containerization, and deployment pipelines.
Good for admins who want to move into automation, Linux server management, and infrastructure tooling.
Fits professionals who want stronger hands-on practice with Jenkins, Kubernetes, Terraform, and monitoring.
Helps cloud learners connect AWS, Azure, and infrastructure automation with DevOps workflows.
Useful for technical leads who need a clear view of production deployments, security, and observability.
Duration: 80 Hours
Mode: Offline classroom and live online options
Practice: Hands-on implementation included throughout the course
Level: Suitable for beginners with technical interest and working professionals
You do not need prior DevOps experience to start. The course begins with the basics and builds toward production-style implementation.
Rated 4.9/5
Inventateq keeps the training practical from the first Linux module to the final capstone pipeline. Learners build the same kinds of workflows used in DevOps teams: automation, CI/CD, containerization, infrastructure provisioning, monitoring, and security checks.
By the end of the course, learners can work through a full DevOps flow, from server setup and scripting to deployment and monitoring. The training is designed to produce practical familiarity with tools and workflows, not just theory.
Learn to connect Git, Jenkins, Maven, SonarQube, Docker, and JFrog into a working delivery flow. You practice the steps needed to move code from commit to build, scan, package, and deploy.
Use Shell Scripting and Linux administration skills to automate monitoring, backups, deployments, and routine system work. This is the base skill set that supports real DevOps operations.
Create Docker images, manage containers, and work with Kubernetes deployments, services, ingress, secrets, and scaling. This gives you the skills needed for modern application delivery.
Learn to describe infrastructure as code and deploy repeatable environments. The course covers state management, modules, workspaces, and real-world provisioning flow.
Use Prometheus, Grafana, and ELK Stack to track metrics, build dashboards, and centralize logs. This helps you support production stability and faster troubleshooting.
Use AquaTrivy scanning and DevOps security practices to check images and Kubernetes workloads. You learn how security fits into delivery instead of being added later.
This certification confirms that you have completed practical training in DevOps tools, automation, CI/CD, infrastructure as code, containers, monitoring, and deployment workflows. It helps show employers that you have studied the toolchain used in real DevOps and cloud environments.
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.
Validate your skills with recognized industry credentials.
Yes, it is suitable for learners who are new to DevOps but have some technical interest. The course starts with Linux and shell scripting before moving into tools like Git, Jenkins, Docker, and Kubernetes. That sequence helps beginners understand the flow step by step.
Yes, the course is built around practical implementation. You work on CI/CD, containerization, infrastructure as code, monitoring, and a final end-to-end DevOps capstone. The syllabus explicitly includes production deployment strategy and full pipeline design.
You can aim for roles such as Junior DevOps Engineer, Build and Release Engineer, Cloud Engineer, Infrastructure Engineer, Automation Engineer, or SRE depending on your background and project strength. With more experience, the course also supports senior and lead-level DevOps paths. The training is aligned to those job titles, not just generic cloud learning.
This course is best for learners who are comfortable with technical concepts and want to build practical system and deployment skills. If you are from a non-technical background, you may still join, but you should be ready to spend time on Linux, scripting, and tool usage. The instructors guide you from the basics, but the course is hands-on.
Yes, live online training is available. You can attend the same practical sessions remotely and work through the labs with mentor support. It is a good option if you want to learn from Mountain View while studying from another location.
The program is 80 hours in total. It includes hands-on practical implementation throughout the course, not just theory sessions. That time is used across Linux, scripting, CI/CD, containerization, IaC, monitoring, and project work.
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