Learn DevOps Training in Noida with hands-on work on Linux, Git, Jenkins, Maven, SonarQube, JFrog, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, and ELK Stack. This DevOps Training Institute in Noida is built to help you automate builds, containers, deployments, monitoring, and infrastructure the same way production teams do it.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
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Learning DevOps is only useful when you can present your work clearly in interviews and prove you can handle real deployment workflows. Inventateq helps you connect the course content to the job market in Noida, with support focused on DevOps Engineer, Cloud Engineer, Build and Release Engineer, and Automation Engineer roles.
Noida hires DevOps professionals across IT services, product companies, cloud operations, infrastructure teams, and platform engineering groups. Pay usually rises as you move from pipeline support work to cloud automation, Kubernetes operations, and architecture responsibilities.
DevOps Average Salary by Experience
Noida hires DevOps professionals across IT services, product companies, cloud operations, infrastructure teams, and platform engineering groups. Pay usually rises as you move from pipeline support work to cloud automation, Kubernetes operations, and architecture responsibilities.
DevOps Average Salary by Experience
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Inventateq teaches DevOps in a practical sequence, starting with Linux, shell scripting, and Git, then moving into Jenkins, Docker, Kubernetes, Terraform, Ansible, monitoring, and security. The training follows the actual work of building, scanning, deploying, and monitoring systems, so learners understand how each tool fits into the delivery pipeline.
We stand apart through our commitment to:
The live online DevOps training from Noida follows the same practical curriculum with interactive sessions, lab guidance, and mentor feedback. You can attend from home and still work through the full toolchain, including CI/CD, cloud administration, and deployment automation.
Useful if you want to move from application work into CI/CD, containers, and deployment automation.
A strong fit if you already manage servers and want to move into cloud and DevOps workflows.
Helps you connect cloud administration with infrastructure as code and delivery pipelines.
Good for beginners who want structured training in Linux, Git, Docker, and Kubernetes.
Useful for people who need practical DevOps skills for a role change or promotion.
Duration: 80 Hours
Mode: Offline classroom and live online options
Training style: Hands-on lab-based learning
Experience needed: Beginner-friendly with practical guidance
You can start with basic computer knowledge and learn step by step.
Rated 4.9/5
Inventateq focuses on practical DevOps training that matches real project work, not just classroom definitions. You learn the tools in the order they are used in actual delivery and operations teams, which makes the training more useful for interviews and day-to-day work.
By the end of the course, you will have worked through the full delivery cycle from code commit to monitoring. You also gain practical exposure to infrastructure, automation, containerization, and security tools that show up in DevOps interviews.
Learn how to connect Git, Jenkins, Maven, SonarQube, and JFrog into a usable delivery pipeline. This gives you a clear view of how code moves from commit to release in a DevOps environment.
You will create Docker images, manage containers, and deploy workloads on Kubernetes. The training also covers services, ingress, secrets, RBAC, scaling, and rollbacks.
Use Terraform and Ansible to provision and configure systems in a repeatable way. This is the core skill set behind infrastructure automation and consistent environment setup.
Set up Prometheus, Grafana, and ELK Stack for metrics, dashboards, alerts, and centralized logs. You will also practice basic troubleshooting and production support thinking.
Learn where security checks fit into DevOps using AquaTrivy, SSH hardening, firewall controls, and safe deployment practices. This helps you speak clearly about DevSecOps in interviews.
The course gives you project context, tool knowledge, and role-focused preparation for DevOps Engineer, Cloud Engineer, SRE, and Build and Release Engineer interviews.
This certification confirms that you have completed practical training in DevOps tools, workflows, and deployment practices. It helps show employers that you have worked with the toolchain used in real CI/CD, automation, and cloud operations roles.
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. The course starts with Linux, shell scripting, and Git before moving into Jenkins, Docker, Kubernetes, Terraform, and monitoring. If you are new to DevOps, the step-by-step format helps you build confidence without needing prior job experience.
Yes, the syllabus is hands-on throughout. You work on CI/CD workflow design, containerization, Kubernetes deployment, infrastructure automation, and monitoring setup, not just theory. The final project section brings those pieces together into an end-to-end DevOps pipeline.
Yes, placement support is part of the course approach. You get help with resume preparation, interview practice, and role guidance for DevOps Engineer, Cloud Engineer, SRE, and related positions. The support is focused on making your training useful in job interviews.
Yes, if you are willing to learn step by step and practice regularly. The program begins with core Linux and scripting concepts and gradually moves into automation and cloud tooling. With mentor support and lab work, non-technical learners can build a solid foundation.
Yes, live online training is available. The online format covers the same practical syllabus and uses the same tools, so you can attend from anywhere while still working on labs and projects. It is a good option if you want flexibility without losing hands-on learning.
The program is 80 hours in total. That time is used for practical implementation across Linux administration, CI/CD, containers, Kubernetes, IaC, monitoring, and security. The structure is designed to keep the learning focused and job-relevant.
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