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DevOps Interview Preparation Course
What you’ll learn
- Overview of DevOps and its key principles
- Common DevOps tools and technologies
- Strategies for building and managing infrastructure
- Continuous integration and delivery (CI/CD) best practices
- Infrastructure as code (IaC) concepts and tools
- Monitoring and logging strategies for DevOps environments
- Security considerations in DevOps
- DevOps culture and team dynamics
- Common DevOps interview questions and strategies for answering them
Our students work at..
Description
This course will prepare you for any DevOps Interviews you may be attending soon!
This course is for you, if:
- You have finished your DevOps course and now preparing for the interview
- You are wondering what kind of questions could come during the technical rounds
- You would like to know which domain you are good with and how to evaluate this
Join now in the journey where you will learn how to prepare and tackle all these questions for DevOps job interviews!
- We aim to cover the different DevOps domain questions and how to answer them if they were to be asked during the interview.
- The course will also help you evaluate or re-evaluate your knowledge of the DevOps components you have studied till now.
- After watching this course, you will have the confidence to appear in the DevOps interview.
- There will be in-depth time on these unique questions in DevOps.
- This course will help you prepare before an interview and give insight into specific topics you might not be aware of.
The key tech stacks covered are:
- AWS
- Docker
- Terraform
- Jenkins
- Kubernetes
- Helm
- Github
- Vault
- DevOps general questions – DevOps day-to-day tasks etc
- Sonarqube
- Python
- Linux
- Monitoring and alerting (Prometheus, Alert Manager, Grafana )
Who is this course for:
- Anyone who is looking to succeed in a DevOps Interview.
Requirements
- You would need to be aware of DevOps tools.
- You would need to have an understanding of the need for DevOps in IT.
What our students say
About the instructor
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.
Introduction
Linux
Git
Docker
Kubernetes
Helm
HashiCorp
Ansible
Jenkins and CI/CD
AWS
Monitoring and Alerting
Programming
DevOps Miscellaneous
Conclusion
Frequently Asked Questions
Who are KodeKloud courses for?
KodeKloud courses are designed for learners at different skill levels, from beginners to experienced IT professionals looking to develop or strengthen their technical skills.
Do KodeKloud courses include hands-on practice?
Yes. Many KodeKloud courses include hands-on labs and practical exercises that let you apply what you learn in real-world environments.
Do I need any prior experience to take a KodeKloud course?
Prerequisites vary by course. Each course page provides information about the recommended knowledge or experience you may need before starting.
Can I learn at my own pace?
Yes. KodeKloud courses are designed for self paced learning, so you can learn according to your schedule and revisit lessons and practice activities as needed.
Can I access KodeKloud courses on mobile devices?
Yes. KodeKloud can be accessed through supported web browsers and mobile devices, allowing you to learn from different devices.
Do KodeKloud courses provide certificates?
Certificate availability depends on the course and your KodeKloud plan. Check the individual course page or your account for the applicable certificate details.
How long does it take to complete a KodeKloud course?
Course completion time varies depending on the course length, your prior experience, and how much time you spend on hands-on practice.
Can I practice while taking the course?
Yes. Courses that include hands-on labs allow you to practice concepts as you progress through the lessons.
How do I start learning a KodeKloud course?
Choose a course that matches your learning goals, review its requirements and curriculum, and select the available subscription option to start learning.
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