The Master in DevOps Engineering Certified Professional program is designed to provide individuals with a comprehensive understanding of DevOps practices, tools, and methodologies, essential for building and managing highly efficient and scalable software delivery pipelines. This certification covers the entire DevOps lifecycle, including continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and monitoring, with an emphasis on automation, collaboration, and rapid iteration. Participants gain hands-on experience with industry-standard tools such as Docker, Kubernetes, Jenkins, Git, Terraform, and Ansible, learning how to streamline operations, improve deployment efficiency, and enhance product quality. The program also focuses on critical soft skills for fostering collaboration between development and operations teams, ensuring alignment with organizational goals and enhancing overall system reliability. Earning this certification demonstrates an advanced level of expertise in DevOps, making professionals highly valuable in roles such as DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), and IT Operations Specialist.
What is Master in DevOps Engineering Certified Professional?
The Master in DevOps Engineering Certified Professional is a specialized certification program aimed at equipping professionals with advanced skills in DevOps, a methodology that combines software development (Dev) and IT operations (Ops) to improve software delivery speed, quality, and reliability. This program offers in-depth training in key DevOps practices, including continuous integration and delivery (CI/CD), infrastructure automation, containerization, monitoring, and cloud deployment. Participants learn to work with industry-standard tools like Docker, Kubernetes, Jenkins, Terraform, and Ansible, building capabilities to automate workflows, manage infrastructure as code (IaC), and streamline deployment pipelines. Through hands-on labs, real-world scenarios, and practical guidance, the certification prepares individuals for roles such as DevOps Engineer, Site Reliability Engineer (SRE), and Cloud Engineer. This certification validates a professional’s expertise in optimizing and managing the software development lifecycle, making them highly sought after for their ability to enhance collaboration, efficiency, and operational stability in IT environments.
Course Feature
The Master in DevOps Engineering Certified Professional course includes the following key features:
- Comprehensive Curriculum: Covers core DevOps topics such as Continuous Integration/Continuous Deployment (CI/CD), Infrastructure as Code (IaC), containerization, cloud orchestration, and monitoring.
- Hands-On Labs: Practical labs provide real-world experience with DevOps tools like Docker, Kubernetes, Jenkins, Terraform, Ansible, and Git, allowing learners to apply their knowledge immediately.
- Industry-Standard Tools: The course trains participants in widely-used DevOps tools and practices, ensuring they are proficient in tools commonly found in modern DevOps environments.
- Live Instructor-Led Sessions: Expert-led sessions offer personalized guidance, support, and insights into real-world scenarios, enhancing the learning experience.
- Self-Paced Learning Modules: Flexible learning options with self-paced video tutorials, assignments, and resources to allow participants to learn at their convenience.
- Mock Exams and Practice Tests: Simulated exams and quizzes prepare participants for the certification exam format and test their knowledge, reinforcing key concepts.
- Capstone Project: A final project based on real-world scenarios that integrates all the skills learned, providing a tangible demonstration of each participant’s capability.
- Certification of Completion: A recognized certification upon successful completion, validating participants' expertise as a Master in DevOps Engineering Certified Professional.
- Career Support and Networking: Access to a community of DevOps professionals and career resources, helping participants connect with peers and explore job opportunities.
- Ongoing Support and Resources: Lifetime access to course materials, recorded sessions, and updates, ensuring participants stay current with evolving DevOps practices and tools.
Training objectives
The training objectives for the Master in DevOps Engineering Certified Professional program are designed to develop participants' expertise across the DevOps lifecycle. Key objectives include:
- Understand DevOps Fundamentals: Gain a thorough understanding of DevOps principles, culture, and practices, and their role in modern software development.
- Implement Continuous Integration (CI) and Continuous Deployment (CD): Learn to set up CI/CD pipelines for automated, reliable, and fast software delivery.
- Master Infrastructure as Code (IaC): Develop proficiency in IaC tools like Terraform and Ansible to automate infrastructure provisioning, configuration, and management.
- Containerization and Orchestration: Acquire skills in Docker and Kubernetes to package applications into containers and manage them effectively in a distributed environment.
- Automate Monitoring and Logging: Implement robust monitoring, logging, and alerting systems to track application performance and troubleshoot issues proactively.
- Enhance Collaboration Between Teams: Use DevOps practices to improve collaboration between development, operations, and QA teams, fostering a more agile and efficient workflow.
- Increase System Reliability and Scalability: Learn techniques to enhance application reliability, scalability, and resilience, preparing for real-world production challenges.
- Gain Hands-On Experience with DevOps Tools: Develop practical skills with tools like Jenkins, Git, Docker, Kubernetes, Prometheus, and Grafana, among others.
- Develop Troubleshooting and Problem-Solving Skills: Build capabilities in diagnosing and resolving issues within complex systems to minimize downtime and ensure smooth deployments.
- Prepare for DevOps Certification Exams: Equip participants with the knowledge and confidence needed to pass DevOps certification exams, validating their expertise.
Target audience
The target audience for the Master in DevOps Engineering Certified Professional program includes IT professionals looking to enhance their expertise in DevOps practices and methodologies. This program is ideal for software engineers, system administrators, cloud engineers, and aspiring DevOps engineers who aim to streamline and automate software delivery processes. It also appeals to Site Reliability Engineers (SREs) and IT operations specialists seeking to expand their knowledge of continuous integration, continuous deployment, and infrastructure as code. Those who work in agile environments or support high-demand applications in cloud or hybrid architectures will benefit from the hands-on, practical skills developed in this program. Additionally, it’s suited for professionals wanting to stay competitive in today’s job market by gaining in-depth knowledge of tools like Docker, Kubernetes, Jenkins, and Terraform, which are essential for managing and scaling applications in modern IT ecosystems.
Training methodology
The Master in DevOps Engineering Certified Professional training employs a comprehensive, hands-on methodology to ensure participants gain practical skills and deep understanding. Key elements of the methodology include:
- Hands-On Labs and Real-World Scenarios: Practical labs allow participants to work directly with DevOps tools, simulating real-world environments and challenges. These labs cover areas like CI/CD setup, container orchestration, and automated deployments, enabling participants to apply what they learn immediately.
- Instructor-Led Sessions and Demos: Expert-led sessions provide guidance on complex topics, breaking down advanced DevOps concepts and tools. Live demos show how to tackle specific tasks like setting up CI/CD pipelines or managing Kubernetes clusters, making learning both interactive and effective.
- Self-Paced Modules and Video Tutorials: Self-paced content, including video tutorials, allows participants to learn on their own schedule. This approach helps reinforce concepts and provides flexibility for participants with varied schedules.
- Peer Collaboration and Discussion Forums: Participants are encouraged to collaborate and share insights through discussion forums or chat channels. This creates a community of learners who can help each other solve problems and gain multiple perspectives on common challenges.
- Mock Exams and Quizzes: Regular quizzes and mock exams reinforce learning, ensuring that participants are exam-ready. These practice tests simulate the format and rigor of the certification exam, allowing learners to assess their understanding and improve their exam-taking skills.
- Capstone Project: A final capstone project lets participants apply all skills learned by building a full DevOps pipeline or solving a complex DevOps problem. This project provides a practical demonstration of expertise and readiness for real-world DevOps roles.
- Access to Resources and Tools: Participants are provided with a library of resources, including tool documentation, cheat sheets, and reference guides. This ensures they have ongoing access to critical information needed for practical application.
- Continuous Feedback and Support: Throughout the training, participants receive feedback on their work, helping them identify strengths and areas for improvement. Access to instructors and mentors provides additional support for troubleshooting and guidance.
Training materials
The Master in DevOps Engineering Certified Professional course provides a comprehensive set of training materials to support participants’ learning and hands-on experience. These materials include:
- Detailed Course Slides and eBooks: Structured slides and eBooks cover the full DevOps curriculum, from CI/CD to containerization and infrastructure as code (IaC), offering detailed explanations, visuals, and examples.
- Command Reference Cheat Sheets: Quick-reference cheat sheets for essential DevOps commands, covering tools like Docker, Kubernetes, Git, and Terraform, help participants work efficiently during hands-on labs and real-world scenarios.
- Step-by-Step Lab Guides: Practical lab guides provide detailed instructions for implementing DevOps practices, such as setting up CI/CD pipelines, deploying containers, and automating infrastructure, allowing for hands-on practice with each concept.
- Video Tutorials and Recorded Demos: Video resources offer visual demonstrations of complex tasks, including creating Kubernetes clusters, configuring Jenkins, and automating infrastructure with Terraform, making it easier to understand each process.
- Mock Exams and Practice Tests: Practice tests simulate the certification exam format, helping participants assess their knowledge and become familiar with exam questions and time constraints.
- Interactive Online Labs and Cloud Sandboxes: Participants gain access to online labs and sandboxed environments where they can experiment with DevOps tools, configure pipelines, and troubleshoot in a risk-free setting.
- Case Studies and Real-World Examples: Case studies from real DevOps implementations show how to apply concepts in actual business environments, giving participants a practical understanding of how DevOps can improve software delivery.
- Comprehensive Resource Library: A collection of resources, including official documentation, troubleshooting guides, blogs, and tutorials on DevOps tools, enables participants to dive deeper into specific areas and keep learning after the course.
- Capstone Project Guide: A guide for the final capstone project, which integrates the course’s core concepts, allowing participants to demonstrate their mastery of DevOps practices in a real-world scenario.
- Access to Discussion Forums and Peer Networks: Ongoing access to forums and networks allows participants to interact with peers, seek help, and discuss challenges, fostering a collaborative learning environment.
Agenda of Master in DevOps Engineering Certified Professional
- Overview of DevOps Culture, Principles, and Practices
- DevOps Lifecycle: Development, Testing, Integration, Deployment, and Monitoring
- Introduction to Agile and Lean Methodologies
- Hands-On: Setting Up a DevOps Environment
- Fundamentals of Git: Branching, Merging, and Pull Requests
- Git Workflows: GitFlow, Feature Branching, and Trunk-Based Development
- Using GitHub, GitLab, and Bitbucket for Collaboration
- Hands-On: Implementing Git Workflows in a Project
- CI Principles and Importance in DevOps
- Setting Up Jenkins and Understanding CI/CD Pipelines
- Configuring Automated Builds, Testing, and Notifications
- Hands-On: Building a Simple CI Pipeline with Jenkins
- Differences Between Continuous Delivery and Continuous Deployment
- Setting Up Automated Deployment Pipelines
- Deployment Strategies: Blue-Green, Canary, and Rolling Updates
- Hands-On: Creating a CD Pipeline and Deploying to Staging
- Introduction to Infrastructure as Code and Its Benefits
- Working with Terraform for Infrastructure Management
- Writing Terraform Configuration Files for Cloud Environments
- Hands-On: Deploying Infrastructure with Terraform
- Introduction to Configuration Management and Ansible Basics
- Writing Playbooks, Roles, and Variables
- Automating Configuration and Application Deployment
- Hands-On: Using Ansible for Server Provisioning and App Deployment
- Docker Fundamentals: Containers, Images, and Volumes
- Building and Managing Docker Containers
- Best Practices for Creating and Managing Dockerfiles
- Hands-On: Building a Containerized Application with Docker
- Introduction to Kubernetes and Its Architecture
- Deploying and Managing Applications in Kubernetes Clusters
- Kubernetes Concepts: Pods, Services, Deployments, and Ingress
- Hands-On: Deploying an Application on Kubernetes
- Configuring Persistent Storage and Networking in Kubernetes
- Setting Up Kubernetes Monitoring with Prometheus and Grafana
- Autoscaling and Managing Resources in Kubernetes
- Hands-On: Setting Up Monitoring and Alerting in Kubernetes
- Importance of Monitoring and Observability in DevOps
- Implementing Centralized Logging with ELK Stack
- Monitoring Tools: Prometheus, Grafana, and Cloud Monitoring Solutions
- Hands-On: Setting Up a Full Monitoring and Alerting System
- Securing DevOps Pipelines and Infrastructure
- Introduction to DevSecOps Practices
- Managing Secrets and Sensitive Information
- Hands-On: Integrating Security Checks in the CI/CD Pipeline
- Overview of Capstone Project Requirements and Objectives
- Building an End-to-End DevOps Pipeline
- Applying All Skills Learned Throughout the Course
- Project Presentation and Feedback Session
- Exam Format, Tips, and Best Practices
- Reviewing Key Topics: CI/CD, IaC, Kubernetes, and Security
- Mock Exams and Practice Questions
- Final Q&A and Certification Guidance
PROJECT
In MDE Course a
Participant will get total 3 real time scenario based projects to work on, as part of these
projects, we would help our participant to have first hand experience of real time scenario
based software project development planning, coding, deployment, setup and monitoring in
production from scratch to end. We would also help our participants to visualize a real
development environment, testing environment and production environments.
INTERVIEW
As part of this, You would be given complete interview preparations kit, set to be ready for the DevOps
hotseat. This kit has been crafted by 200+ years industry experience and the experiences of nearly 10000 DevOpsSupport DevOps learners USA.
OUR COURSE IN COMPARISON
FEATURES |
DEVOPSSUPPORT |
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1 Course for All (DevOps/DevSecOps/SRE) |
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Faculty Profile Check |
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Lifetime Technical Support |
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Lifetime LMS access |
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Top 46 Tools |
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Interview KIT (Q&A) |
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Training Notes |
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Step by Step Web Based Tutorials |
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Training Slides |
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Training + Additional Videos |
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Frequently asked questions
What is the Master in DevOps Engineering certification?
This certification validates advanced skills in DevOps, covering automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, and other practices essential for efficient software delivery.
Who should pursue this certification?
This certification is ideal for DevOps engineers, site reliability engineers, system administrators, software engineers, and IT operations professionals looking to enhance their expertise in DevOps practices.
What skills will I gain from this training?
You’ll learn to automate workflows, implement CI/CD pipelines, manage infrastructure as code, monitor and log applications, and improve collaboration across development and operations teams.
Are there any prerequisites for the certification?
Familiarity with Linux, basic scripting, and an understanding of software development and IT operations are recommended, but not mandatory.
What tools are covered in the training?
The course covers popular DevOps tools like Jenkins, Docker, Kubernetes, Ansible, Terraform, and Git, among others.
How is the certification exam structured?
The exam includes practical tasks and scenarios that test your ability to apply DevOps concepts in real-world settings, including automation, configuration management, and CI/CD.
How long is the certification valid?
The certification is valid for 3 years, after which recertification may be required to keep up with evolving DevOps practices.
What format does the training follow?
The training includes instructor-led sessions, hands-on labs, project-based learning, case studies, and mock exams to ensure comprehensive learning and exam readiness.
How is the DSOCP course delivered?
Yes, a retake option is typically available, often at a reduced cost or included with the initial registration.
How can I prepare for the certification exam?
Prepare by completing the course, practicing hands-on labs, working on real-world DevOps projects, and reviewing mock exam questions to strengthen your skills.