Certificate Course in DevOps and Cloud Computing

This DevOps & Cloud Computing program equips learners with practical skills in automation, cloud services, and modern DevOps tools. It bridges traditional development with scalable, secure, and real-world cloud infrastructure management.

Course Instructor Emerging India Analytics

₹65000.00

Course Overview

In the rapidly evolving tech ecosystem, DevOps and Cloud Computing have become foundational pillars for delivering scalable, secure, and reliable software solutions. This program is meticulously designed to bridge the gap between traditional development practices and modern automated infrastructure management. With a strong execution-based methodology, this course will empower learners to become proficient in tools, technologies, and practices required in real-world DevOps and cloud environments.

Program Overview:

The Certificate Course in DevOps and Cloud Computing is a comprehensive, hands-on training program covering every major aspect of DevOps workflows, cloud infrastructure, automation, and orchestration. From mastering Linux and Red Hat system administration to working with AWS, Docker, Kubernetes, Jenkins, and CI/CD pipelines, learners will gain real-world exposure to the full DevOps lifecycle. The program emphasizes practical implementation, infrastructure automation, container management, version control, testing, and deployment strategies.

Program Structure:

30-Hours Pre-Learning Module:  Before you embark on the live academic session, get ready for the Program. You will get a series of online recorded tutorials to understand the basics of Python, Linux, DevOps philosophy, and an overview of cloud computing to prepare for the live sessions.

185-Hours Live Instructor-Led Program Training:  This phase provides practical training in DevOps and Cloud tools, covering Linux & Red Hat, AWS, Ansible, Terraform, Docker, Kubernetes, Puppet, Jenkins, and GitLab. Real-world capstone projects reinforce skills through industry-simulated scenarios.

Access to Recorded Live Videos:  Learning does not stop here. To support better understanding of concepts and skill mastery, recorded videos of live classes will be provided to learners. These videos will be accessible for up to 6 months after course completion.

Specialized Projects & Assignments: To master the skills acquired during the course, learners are required to complete and submit a few projects within one month of course completion. Expert trainers will be available during this period to provide guidance, support, and clarification when needed.

Eligibility:

1. A graduate in any discipline, including Engineering, Science, Mathematics, Statistics, Commerce, Humanities, with a minimum of 50% marks or an equivalent CGPA.
2. Passionate about continuous learning and skill development, with a strong drive to acquire new knowledge in Data Science and Artificial Intelligence.

Certificates:

Schedule of Classes

Course Curriculum

1 Subject