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DevOps

DevOps Interview Preparation Course

Prepare for the DevOps Interview
Raghunandana Sanur
Staff Data Engineer & MLOps Engineer at Talabat
DevOps Pre-Requisite Course
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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

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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.
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What our students say

About the instructor

Raghunandana Krishnamurthy, currently serving as a Staff Data Engineer and MLOps Engineer at Talabat, is renowned for his expertise in the fields of data engineering and machine learning operations. He has a strong background in both GCP and AWS platforms, utilizing tools like SageMaker and VertexAI to accelerate model development and deployment.

His experience at HelloFresh as a Senior Data Engineer involved migrating legacy ETL to AWS EMR and managing hybrid data infrastructure, showcasing his proficiency in big data cloud stacks. He was also responsible for creating visibility on ETL's through monitoring and alerting with Prometheus, Grafana, and other tools.

At Careem, Raghunandana was a Data Engineering Technical Lead, focusing on big data platform development and ensuring the health and alignment of the growing team. His responsibilities included maintaining big data platforms and ensuring data quality for analytics, machine learning, and AI applications.

His tenure at Cerner Corporation as a Big Data Engineer further highlights his deep understanding of Hadoop systems and DevOps culture. He was involved in the development, maintenance, and upgrading of Hadoop clusters, as well as in building scalable distributed systems.

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This course comes with hands-on cloud labs
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14
Lessons
book
Lessons
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75
Topics
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Course Certificate
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05.50
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Videos
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Labs
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Cloud Labs
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Mock exams
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Slack channel support
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Community support
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English, French
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