GCP DevOps Project

Supercharge your DevOps career with hands-on GCP expertise, Kubernetes mastery, and CI/CD proficiency in our GCP DevOps Project course, and become the top candidate in your next job interview!
4.8How students rate KodeKloud  1000000+  Students
Taught by: Raghunandana Sanur, Senior Data Platform Engineer

Overview

Are you ready to level up your DevOps skills and take your software delivery game to the next level? If so, this course is perfect for you!

You may already be familiar with the term “DevOps lifecycle” and its different stages, including planning, development, testing, deployment, and monitoring. But have you ever wondered how these stages are implemented in real-world organizations?

If so, this course has got you covered.

In this hands-on course, we’ll walk you through an end-to-end DevOps project in a sprint format, practically implementing the setup on a GCP cloud environment. 

What you will learn in this course:

  • Get an inside look into how the DevOps lifecycle is implemented in top companies and gain valuable insights into the best practices and tools used to deliver software quickly and reliably.

  • Take your Kubernetes skills to the next level by setting up a Python Flask application and deploying it like a pro.

  • Set up a proper CI/CD process to enhance your developer experience and streamline software delivery from development to production.

  • Gain a deep understanding of the key deliverables in each sprint and learn how to plan and review them using industry-standard terms effectively.

  • Impress potential employers and ace your next job interview.

Are you ready to take your DevOps skills to the next level and impress potential employers in your next interview? 

Then, join us on this exciting journey and gain an in-depth idea of a real-world DevOps project setup. 

Prerequisites

All you need is a basic understanding of:

  • Linux
  • Docker
  • Kubernetes
  • CI/CD
  • Github

Take advantage of this incredible opportunity to advance your DevOps career today!



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What our students say

Fernando Jordan Silva
Fernando Jordan Silva
Solutions Architect at Renault Group, Spain
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I'm not a security specialist, but I have realized that the course explains very well every topic and you can use the labs in every lesson to practice. It's a hard certification but using this course I could learn every element step by step and test myself if I was ready using the exam simulators, and I was great because the simulators are very close to a real exam! using this course I got the certification in my first attempt!
Amjad Nagori
Amjad Nagori
Solutions Architect, Logic Monitor
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Thank you so much Mumshad Mannambeth for the awesome course, I couldn't find better than yours. These courses are well designed with awesome practice labs and have more than the required content to learn and pass the Kubernetes exams. Not sure how you are managing them with these much of low cost.
Sandy Yang
Sandy Yang
Engineer, Architecture, Devops Advocate, Cloud Practitioner
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... Thank you Mumshad Mannambeth and the team for your contribution to computer education. If all training programs were like yours, there won't be a movement called #womanintech....
Andrzej Kozlowski
Andrzej Kozlowski
Zurich, Switzerland
Read More
Thanks KodeKloud for amazing Kodekloud Engineer site ! You are guys the future of IT education ! Special thanks for Mumshad Mannambeth for the best Kubernetes training and amazing KodeKloud labs.

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.

Course Content

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Course Includes

  • 9 Lessons
  • 65 Topics
  • Course Certificate
  • 02.75 Hours of Video
  • Videos
  • Demo
  • Community support
  • English