This course provides a comprehensive introduction to Cloud Computing and DevOps, focusing on modern infrastructure management and deployment practices. Learners will understand how cloud platforms and DevOps tools work together to build, deploy, and manage scalable applications efficiently.
The program covers leading cloud service providers like AWS, Azure, and GCP, along with real-world DevOps workflows. Through practical sessions and projects, students will gain hands-on experience in managing cloud environments and automating development processes.
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Introduction to Cloud Computing & DevOps Understand the core concepts of cloud computing and how DevOps bridges development and operations. |
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Cloud Computing Fundamentals Learn IaaS, PaaS, SaaS, scalability, virtualization, and storage concepts. |
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DevOps Practices & Workflow Learn CI/CD, automation, and collaboration for faster delivery. |
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Amazon Web Services (AWS) Work with EC2, S3 and deploy scalable applications. |
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Microsoft Azure Learn virtual machines, app services, and cloud infrastructure. |
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Google Cloud Platform (GCP) Explore GCP tools for computing, storage, and deployment. |
| Course | Cloud Computing & DevOps |
| Online Fee | ₹1699 / month |
| Offline Fee | ₹8999 / month |
| Duration | 5 Months |
| Daily Time | 2.5 Hours / Day |
Gain practical experience by working on AWS, Azure, and GCP.
Structured learning from basics to advanced concepts.
Learn modern DevOps workflows and tools.
Build real-world projects for hands-on experience.
Yes, the course starts with basic cloud and DevOps concepts and progresses to advanced topics.
No prior experience is required. Everything will be taught from scratch in a beginner-friendly way.
Yes, you will work on real cloud platforms like AWS, Azure, and GCP through practical sessions and projects.
You can pursue roles like Cloud Engineer, DevOps Engineer, System Administrator, or Infrastructure Engineer.
Yes, the course can be accessed both online and offline through our mobile and desktop applications.
Students who maintain a minimum of 85% attendance in this course become eligible to apply for job opportunities through the Mi Skills platform. This initiative is designed to reward consistent learners with direct access to career opportunities, helping them transition smoothly into the field of Artificial Intelligence and Machine Learning.