About DevOps Engineer MasterProgram
DevOps Engineer Masters Program will make you proficient in DevOps principles like CI/CD, Continuous Monitoring, and Continuous Delivery, using tools like Puppet, Nagios, Chef, Docker, Git & Jenkins. It includes training on Linux, Python, Docker, AWS DevOps Certification Training, and Splunk. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
Syllabus of the DevOps Engineer Master Program
1. Linux Fundamentals Certification Training – SELF PACED
Edureka’s Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File systems, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration, and Linux programming.
2. Python Scripting Certification Training in the DevOps Engineer Master- SELF PACED
Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python. It will help you to perform operations on variable types. You will learn the importance of Python in a real-time environment and will be able to develop applications based on the Object-Oriented Programming concept.
3. DevOps Certification Training – LIVE CLASS
The DevOps Certification Training Program will provide you with in-depth knowledge of various DevOps tools, including Git, Jenkins, Docker, Ansible, Puppet, Kubernetes Nagios. This training is completely hands-on and designed to help you become a certified practitioner through best practices in Continuous Development, Continuous Testing, Configuration Management, and Continuous Integration, and finally, Continuous Monitoring of software throughout its development life cycle.
4. Docker Certified Associate Training in the DevOps Engineer Master- LIVE CLASS
Edureka’s Docker Certified Associate Training Course is designed keeping in mind the needs of both new learners and professionals looking to appear for the Docker Certified Associated course. You will learn the origins of containerization technology and move on to create and deploy your own containerized applications. Get hands-on experience using different storage strategies, deploy multi-container applications using Docker Compose, and manage container clusters using Docker Swarm. Throughout this online Instructor-led Docker Certified Associate training, you will be working on real-life industry use cases.
5. AWS Certified DevOps Engineer Training – LIVE CLASS
The AWS Certified DevOps Engineer – Professional exam validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. Edureka’s AWS Certified DevOps Engineer training will help an individual develop advanced technical skills on CodeCommit, Codepipeline, CloudFormation, OpsWorks, Beanstalk many more, needed to attempt the AWS Certified DevOps Engineer – Professional examination successfully. With this AWS professional certification under your belt, you will join an elite club of AWS Certified DevOps Engineer Professionals who are in high demand by employers worldwide.
6. Splunk Training & Certification- Power User & Admin – LIVE CLASS
Splunk Power User and Admin Certification training teaches you to work with Configuration and user Management in Splunk. This training will help you gain knowledge on Setting up a Cluster, Data Ingestion from multi-sources & Splunk knowledge objects. It includes Searches, Create and Manage Alerts, Create and Manage Splunk Reports, and Splunk Visualizations, and Splunk Dashboards while working on real-life Use-Cases.
You can download the detailed syllabus for this program over here
DevOps Engineer Master Capstone Project
The objective is to develop a Continuous deployment pipeline to deploy the code changes as they are committed to the codebase. The codebase has to be tested thoroughly for any regression/missing features before deployment. The pipeline will be built in a way that ensures lower maintenance efforts and maximum re-usability.
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- Masters program
- Instructor-led Self-paced
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- Paid Course (Paid certificate)
- Data Engineering Data Science DevOps