Basics of Cloud with Containerization Tools

The Basics of Cloud with Containerization Tools program by Emerging India Analytics provides hands-on training in Linux, Red Hat, AWS, Docker, Kubernetes, Ansible, and DevOps. Designed for IT professionals and cloud beginners, this course builds essential skills in cloud services, infrastructure automation, and container orchestration—enabling learners to efficiently build, deploy, and manage cloud-native applications.

Course Instructor Emerging India Analytics

₹42500.00

Course Overview

In today’s digital landscape, Cloud Computing and Containerization have become foundational pillars for agile and scalable technology solutions. The Basics of Cloud with Containerization Tools program offered by Emerging India Analytics is a carefully structured 110-hour training initiative designed to provide learners with essential knowledge and hands-on experience in Linux, Red Hat, AWS, Docker, Kubernetes, Ansible, and DevOps. This program is ideal for IT professionals, System Administrators, Cloud Beginners, and DevOps Enthusiasts aiming to upskill in Modern Infrastructure Automation, Cloud Services, and Container Orchestration. Participants will develop real-time capabilities to build, deploy, and manage cloud-native applications with efficiency and confidence.

Program Overview:

The Basics of Cloud with Containerization Tools program provides a structured foundation in Cloud Computing, Linux systems, DevOps practices, and containerization technologies. It begins with essential Linux and Red Hat training, covering System Administration, Shell Scripting, Networking, File Systems, Permissions, and Performance Tuning. Learners gain hands-on skills to manage and secure systems, preparing them for real-world infrastructure roles. The program then transitions into automation with Ansible, teaching learners how to write playbooks, manage inventories, and deploy applications efficiently. Moving forward, it introduces core AWS services including EC2, S3, IAM, Lambda, and CloudWatch, offering practical insights into Cloud Infrastructure Management. Finally, learners explore Docker and Kubernetes to master Containerization, Orchestration, and Microservices Architecture. Through practical labs and a capstone project, participants build the skills needed to deploy scalable, automated solutions in modern IT environments.

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.

110-Hours Live Instructor-Led Program Training:  You will get an execution-based learning experience on Linux Administration, Red Hat Configuration, AWS Services, Infrastructure Automation with Ansible, Containerization using Docker, and Orchestration with Kubernetes.

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