DevOps Engineer Certificate Program

Launch your Career in DevOps Engineering

DevOps Engineer Certificate Program

  • Online
  • Weekly Mentorship Sessions
  • 3 Months
Apply Now
Application Deadline - 25th Jul 2019

Why Join DevOps Engineer Certificate Program?

Great Lakes


Rated 4+/5

by 95% participants

5 Million+

learning hours delivered

Become a DevOps Engineer

Learn how to handle the entire DevOps lifecycle right from planning to production.

Practice based learning

Solve 8 use cases through labs, projects and build your ePortfolio.

Become a versatile DevOps professional

Learn Git, Jenkins, Ansible, Chef, Puppet, Docker, Maven, Terraform, ELK stack and more.

Learn from the best

Learn and get weekly mentoring from seasoned industry practitioners experienced in DevOps.

Program Structure

A 3-month structured online DevOps course with weekend mentorship sessions to help you become proficient in understanding and working with AWS (Amazon Web Services), Containers, Cloud Native and On-Premises DevOps, Infrastructure as Code, Python Scripting and more.

Online Content

Learn through our 40+ hours of expert instructional content and 150+ hours of an overall learning.

Weekend Mentoring Sessions

Personalized mentorship from DevOps practitioners who have worked with leading organizations like Dell, SAP, Cisco, Walmart Labs, Infosys, FIS and more.

Hands-on Projects

Acquire in-demand DevOps skills by working on 6 labs and 2 full projects under the guidance of industry mentors.

Become a DevOps Engineer

Online Content | Weekly Mentorship

How does Mentorship Work?

Participants attend weekly live mentorship sessions

Participants attend a live session each weekend to clarify their conceptual doubts, ask questions and discuss use cases with an industry practitioner.

Mentors inspire and guide participants at each step

Participants can reach out to mentors for queries, career discussions and get capstone project guidance during the DevOps course.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in DevOps.


Preparatory Work (Self Paced)
  • Linux OS
  • File Structure

  • Command Line Ops
  • Linux Distros & Usage
  • Basic Shell Scripting
  • Language Basics
  • Python Scripting
  • Using AWS Python SDK
  • Service Models
  • Deployment Models
  • Virtual Machines vs Containers
  • Why Cloud
  • Traditional vs Cloud Infra
  • Cloud Platforms
  • Container Basics
  • System Containers (LXD)
  • Application Containers (Docker)
  • Container Orchestration & Management - ECS
  • VM Management - Vagrant, VirtualBox

  • AWS Organization & IAM
  • Compute
  • Storage
  • Network
  • CaaS - Elastic Container Service
  • Monitoring & Logging - AWS CloudWatch, AWS CloudTrail
  • Notifications - SNS, SES
  • Billing & Account Management
  • The DevOps Philosophy, Principle & Methods
  • Code and Config Management - Git, Chef/Puppet/Ansible
  • CI/CD, Build & Release - Jenkins and Maven
  • Image Building - Docker & Packer
  • Debugging, Logging & Monitoring - ELK stack
  • Infra as Code - Terraform, CloudFormation
  • Unified CI/CD (AWS CodeStar)
  • Code Management, Build & Release, Deployment (AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy)
  • Deployment Pipeline(e.g. AWS CodePipeline)
  • Infrastructure as Code (Terraform, CloudFormation)
  • Plan, Build, Deploy and Monitor (CloudWatch)

Learning Outcomes

After completing this DevOps course, you will be able to

  • done Have a complete understanding of DevOps lifecycle from planning, deployment, and monitoring.
  • done Create new or handle existing DevOps processes and infrastructure.
  • done Understand the difference between Cloud Native and On-premises DevOps.
  • done Automate ops using Infrastructure as Code principles.
  • done Monitor, report, fix and optimize cloud resources.
  • done Understand agile project management and behaviour principles.

Faculty & Mentors

Learn from several experienced industry practitioners from leading organizations

Our Alumni Work for Amazing Companies

The participants of this course have been associated with leading Indian and global organizations

Admission Details


An ideal DECP candidate will have 1-5 years of work experience in a technology role, such as:

  • done Software Developer
  • done Build Engineer
  • done IT Analyst
  • done QA Engineer
  • done Test Analyst
  • done Systems Engineer

Selection Process

Step 1

Fill an application form

Apply by filling an Online Application Form.

Step 2

Screening call

Applicants meeting the eligibility criteria receive a screening call from the Admission Director's office.

Step 3

Application review

Admission Director reviews the screening call discussion and applicant’s profile.

Step 4

Admission offer release

The announcement of results, followed by the release of admission offer letter.

Fee Details

Created with Sketch. 70,000 + GST

Fee Includes

Tuition Fee

Learning Material

Mentorship Sessions


Candidates can pay the program fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

Pay in 12 EMIs at 0% Interest Rate with ZestMoney.
Reach out to admission’s office at +91 92056 80226 for more details.

Upcoming Application Deadline

25th Jul 2019

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

Yes. it is a 3-month program offered online with live mentoring sessions on weekends.
Candidates should have 1-5 years of experience in a technology role such as Software Developer, Build Engineer, IT Analyst, QA Engineer, Assistant Systems Engineer.
There are no technical prerequisites to pursue this DevOps course. However, prior work experience in one of the many technology roles will highly benefit you and will significantly enhance your learning outcomes.
Foundation concepts for Cloud, DevOps, Linux and Python, AWS, Docker, On-Premises DevOps (Git, Jenkins, Chef, Ansible, Puppet, ELK Stack, Packer etc., DevOps on Cloud(AWS), Agile Practices. Please refer to the detailed curriculum here.
The faculty members teaching in this DevOps course are industry experts and leaders in their respective areas of expertise and have decades of professional experience and wisdom. Renowned experts from academia also participate. Refer to our faculty section for more details.
You can apply for multiple roles such as DevOps Engineer, Cloud DevOps Engineer, DevOps Manager etc.
You should essentially belong to a technical background to get the best value from this DevOps course.
You will solve and implement 6 rigorous labs and 2 fully mentored projects as part of this course. The duration of each project is 4 weeks.
All the requisite learning material is provided online through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
You are provided career support through resume workshops and interview preparation sessions for cloud computing job roles. Relevant career opportunities with leading companies are also shared with you.
Please click to see the course fee structure. Our Admissions office will help you in applying for loans once you receive the offer of admission. Our lending partners include HDFC Credila, Avanse (DHFL), Axis Bank and ZestMoney. We ensure money is not a constraint in the path of learning.
  • All interested candidates are required to apply to the course by filling up an Online Application Form.
  • Applicants meeting the eligibility criteria receive a screening call from the Admission Director's office.
  • Admission Director reviews the screening call discussion and the applicant’s profile.
  • The announcement of results, followed by the release of admission offer letter.
This DevOps course is designed to engage participants every week. All participants are required to learn from videos and to attend live mentor sessions every weekend. However, attending lab support hours are optional and you can attend it only in case you need clarify your doubts regarding the lab exercise.
All projects are mandatory evaluation components. If you miss a project, you need to re-enrol into the same course and repeat the project.
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