Basics of Cloud with Containerization Tools

Immersive Learning Program

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-hours 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.

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Introduction

Basics of Cloud with Containerization Tools

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.

Basics of Cloud with Containerization Tools

Tools

Python
Linux
RedHat
Ansible
AWS
Docker
Kubernetes

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.

Curriculum

LEARN WITH A WORLD CLASS CURRICULUM

Module 1. Course Introduction
Day 01: Introduction to DevOps, Scope of DevOps
  • DevOps fundamentals and principles
  • DevOps lifecycle and methodology
  • DevOps tools overview
  • Benefits and challenges of DevOps
Module 2. Fundamentals of Linux
Day 02: Introduction to Linux, Linux Distribution, Types of shell, Package Installation, Basic Linux Commands, Shell scripting
  • Linux architecture and distributions
  • Command line interface and shell types
  • Package management systems
  • Essential Linux commands
  • Shell scripting basics
Day 03: Core Linux Components: I/O Hardware (Udev), Memory management, File Management system (Storage, NFS etc), Package Management
  • I/O hardware management with Udev
  • Linux memory management
  • File systems and storage management
  • NFS and shared storage
  • Advanced package management
Day 04: Process Management, Linux Security: Permission, ACLs, NACLs, Server Hardening, Auditing, Multithreading
  • Process management and monitoring
  • Linux permissions (read, write, execute)
  • Access Control Lists (ACLs)
  • Network ACLs and firewall configuration
  • Server hardening techniques
  • System auditing and compliance
  • Multithreading concepts
Day 05: Core Networking: SNAT, DNAT, IP, Netmask, DHCP, DNS, Virtual memory, Basic and Advanced Linux Command
  • Source and Destination NAT
  • IP addressing and subnetting
  • DHCP and DNS configuration
  • Virtual memory management
  • Advanced Linux commands
  • Network troubleshooting
Day 06: Performance Tuning: Tuning system profiles, Sysctl parameters
  • System performance optimization
  • Performance monitoring tools
  • System profile configuration
  • Sysctl parameter tuning
  • Resource management
Module 3. Fundamentals of Red Hat
Day 07: Introduction to Red Hat Linux, File System Management, User and Group Administration
  • Red Hat Enterprise Linux overview
  • Red Hat file system structure
  • File and directory management
  • User account creation
  • Group management
  • Password policies
Day 08: Package Management with Yum, System Services, and Networking Configuration
  • Yum package manager
  • Repository management
  • System service configuration
  • Systemd service management
  • Network configuration in Red Hat
  • NetworkManager
Day 09: Networking Concepts - SNAT, DNAT, IP, Netmask, and Security and Permissions
  • Advanced networking in Red Hat
  • NAT configuration
  • IP management
  • Subnet configuration
  • Red Hat security features
  • SELinux configuration
  • Firewalld management
Day 10: System Performance Monitoring, Storage Management, and Backup and Restore
  • Performance monitoring tools
  • Storage management in Red Hat
  • Logical Volume Management (LVM)
  • Backup strategies
  • Restore procedures
  • Snapshot management
Day 11: Kernel and Module Management, Remote Access with SSH, CPU Scheduling, Job Scheduling
  • Linux kernel management
  • Kernel module administration
  • Secure Shell (SSH) configuration
  • CPU scheduling mechanisms
  • Cron job scheduling
  • At and batch scheduling
Module 4. Configuration & Automation using Ansible
Day 12: Introduction of Ansible, Installation of Ansible, Ansible Architecture & Core Concepts, Inventory: Defines managed hosts and groups, Playbooks: YAML files specifying tasks to execute on hosts
  • Ansible introduction and use cases
  • Installation and configuration
  • Ansible architecture
  • Core components
  • Inventory file structure
  • Host and group management
  • Playbook basics and YAML syntax
Day 13: Modules: Reusable code units performing specific actions (e.g., file management, service management), Roles: Reusable, modular playbooks for complex tasks
  • Ansible modules overview
  • Built-in modules for common tasks
  • File and service management modules
  • Ansible roles structure
  • Creating and organizing roles
  • Role dependencies
  • Galaxy roles
Day 14: Collections: Organized groups of roles, modules, and plugin, Control Machine Requirements, Managed Node Requirements, Inventory setup
  • Ansible collections concept
  • Using and managing collections
  • Control machine configuration
  • Managed node requirements
  • SSH key management
  • Advanced inventory configuration
  • Dynamic inventories
Day 15: Modules, Adhoc Commands, Playbook, Roles, Including & Importing Roles & Task Files, Writing a Playbook to Install & Configure Web Servers & Deploying an Application
  • Ansible ad-hoc commands
  • Advanced playbook techniques
  • Module parameters and options
  • Including and importing roles
  • Task file organization
  • Web server installation and configuration
  • Application deployment automation
Module 5. AWS
Day 16: Cloud Computing A Brief Introduction, AWS Features
  • Cloud computing concepts
  • Cloud service models (IaaS, PaaS, SaaS)
  • AWS overview and services
  • AWS management console
  • AWS CLI and SDK
Day 17: Global Infrastructure, AWS IAM, SAML, and Identities
  • AWS global infrastructure
  • Regions and availability zones
  • Identity and Access Management (IAM)
  • IAM users, groups, and roles
  • SAML integration
  • Federation and single sign-on
  • Security best practices
Day 18: Roles, Storage Services, AWS S3, and S3 Bucket
  • IAM role configuration
  • AWS storage service overview
  • Simple Storage Service (S3)
  • S3 bucket creation and management
  • S3 security and permissions
  • S3 versioning and replication
Day 19: Storage class, Lifecycle Management, Snowball, and CloudFront CDN
  • S3 storage classes
  • Storage class optimization
  • S3 lifecycle management
  • Snowball data transfer
  • CloudFront CDN architecture
  • Content delivery optimization
  • CloudFront security
Day 20: EC2, AWS EC2, EC2 Instances, EBS, AWS AMI
  • Elastic Compute Cloud (EC2) overview
  • EC2 instance types
  • EC2 instance management
  • Elastic Block Storage (EBS)
  • EBS volume types and management
  • Amazon Machine Images (AMI)
  • Custom AMI creation
Day 21: AWS Lambda, Cloudwatch EC2, and AWS BashScript
  • Serverless computing with Lambda
  • Lambda function creation
  • Event-driven architectures
  • CloudWatch monitoring for EC2
  • CloudWatch alarms and metrics
  • AWS CLI and bash scripting
  • Automation with AWS bash scripts
Module 6. Introduction to DevOps
Day 22: Introduction to DevOps, DevOps Architecture, & Life cycle, Workflow & Principle, Introduction to DevOps tools
  • DevOps methodology in depth
  • DevOps architecture components
  • DevOps lifecycle stages
  • DevOps principles and practices
  • CI/CD concepts
  • DevOps tool ecosystem
Day 23: DevOps Automation, Waterfall model, Agile Development and SDLC
  • DevOps automation strategies
  • Waterfall development model
  • Agile methodology
  • Scrum and Kanban frameworks
  • Software Development Life Cycle (SDLC)
  • DevOps integration with SDLC
Module 7. Docker
Day 24: Introduction and installation of Docker, Differentiate Docker and Virtualization [hub, container]
  • Docker fundamentals
  • Container concepts
  • Docker installation
  • Docker vs. virtualization
  • Docker Hub repository
  • Container basics
Day 25: DevOps and Docker, Docker CLI & Common Operations
  • Docker in DevOps workflows
  • Docker command line interface
  • Docker image management
  • Container lifecycle
  • Running and managing containers
  • Docker networking basics
Day 26: Containerization, and Microservices
  • Containerization principles
  • Docker image creation
  • Dockerfile syntax
  • Microservices architecture
  • Monolithic vs. microservices
  • Implementing microservices with Docker
Day 27: Configuration, and Advantages of Microservices
  • Microservices configuration
  • Configuration management
  • Benefits of microservices
  • Scalability and resilience
  • Microservices communication patterns
  • Service discovery
Day 28: Docker Architecture(Components of Docker Ecosystem), Summary, Docker engine, Policies
  • Docker architecture in depth
  • Docker daemon
  • Docker client
  • Docker engine internals
  • Container runtime
  • Security policies
  • Resource policies
Day 29: Registry, Swarm and Service, Placement and stack
  • Docker Registry setup
  • Private registry management
  • Docker Swarm introduction
  • Swarm cluster creation
  • Service deployment
  • Node placement strategies
  • Docker stack deployment
Module 8. Kubernetes
Day 30: Introduction to Container Orchestration, Kubernetes Architecture, Core Concepts, and Installation of Kubernetes
  • Container orchestration concepts
  • Kubernetes architecture
  • Control plane components
  • Node components
  • Kubernetes installation methods
  • Kubernetes cluster setup
Day 31: Kubernetes container, Kubernetes controller, Self-healing application
  • Kubernetes pods
  • Container configuration
  • Kubernetes controllers
  • Deployments, ReplicaSets, StatefulSets
  • Self-healing mechanisms
  • Health checks and probes
Day 32: Horizontal pod autoscaling, Persistent volume and auto-scaling
  • Horizontal Pod Autoscaler (HPA)
  • Scaling applications
  • Metrics-based scaling
  • Persistent Volumes (PV)
  • Persistent Volume Claims (PVC)
  • Storage Classes
Day 33: Alternate ways of Deploying Kubernetes, Services in Kubernetes
  • Kubernetes deployment options
  • Managed Kubernetes services
  • Service resource types
  • ClusterIP, NodePort, LoadBalancer
  • External and internal services
  • Service discovery
Day 34: Creating a Deployment in Kubernetes using YAML
  • YAML fundamentals
  • Kubernetes manifest structure
  • Deployment YAML configuration
  • Resource management
  • Labels and selectors
  • Deployment strategies
Day 35: Volumes & its Types, Secrets & ConfigMaps, Kubernetes Monitoring using Kubernetes Dashboard
  • Kubernetes volume types
  • EmptyDir, HostPath
  • Secrets management
  • ConfigMaps for configuration
  • Kubernetes Dashboard installation
  • Monitoring and visualization
  • Resource utilization tracking
Module 9. Capstone Projects: AWS WEB SERVICE
Day 36: 1. Build a serverless web application using AWS Lambda and API Gateway 2. Create a static website using AWS S3 and Cloud Front 3. Set up a continuous deployment pipeline using AWS Code Pipeline and Code Deploy 4. Serverless Computing with AWS Lambda and Ansible
  • Serverless application architecture
  • Lambda function implementation
  • API Gateway configuration
  • S3 static website hosting
  • CloudFront distribution setup
  • CI/CD pipeline creation
  • AWS CodePipeline configuration
  • AWS CodeDeploy implementation
  • Integrating Ansible with AWS Lambda
  • Serverless infrastructure automation
  • End-to-end project deployment
  • Documentation and presentation

Skills You Will Possess

Programming & Automation Scripting
Command-Line & System Administration
Enterprise Linux & Certification Skills
IT Automation & Config Management
Cloud Deployment & Service Management
Containerization & App Portability
Container Orchestration & Scaling

Program Benefits

Cutting Edge Curriculum

Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.

On the Go Learning

Online accessible E-learning Material, live interactive lectures, Industrial Graded Projects, Case Studies and Multiple Tests & Evaluations.

Build Solid Foundation

You will get 110 hours of live instructor-led lectures on the most in-demand DevOps tools.

Industry Mentorship

Receive one-on-one guidance from industry experts and confidently begin your career in the field of DevOps.

Recognized Certification

Earn a foundational in-house certificate that leads to the Government of India-approved and globally recognized NASSCOM certification.

Industry Certificate

Begin your journey toward the prestigious AI - DevOps Engineer certification (NSQF Level 5) from SSC NASSCOM, a top industry credential.

Course Certificates

Upon successful completion of the program and passing the final assessment, you will receive:

  • Course Completion Certificate from Emerging India Analytics
  • NASSCOM IT-ITeS Sector Skill Council Certification
  • Begin your journey toward the prestigious SSC NASSCOM AI-DevOps Engineer Certification, a top industry-recognized credential.

These certifications are recognized by employers globally and validate your expertise in DevOps.

Sample Certificate
Sample Certificate

Real World Projects

Projects will be a part of your Basics of Cloud with Conternization Tools to solidify your learning. They ensure you have real-world experience in DevOps.

Practice 20+ Essential Tools

Designed by Industry Experts

Get Real-world Experience

Beginner

Static Website using AWS S3 and CloudFront

Students will build and deploy a static website (portfolio or blog) using AWS S3 for hosting and CloudFront for global delivery. This project introduces them to scalable, serverless web hosting and CDN usage. It helps understand website deployment, access control, HTTPS security, and custom domain integration using cloud-native services.

Intermediate

Simple DynamoDB Integration with Lambda

In this project, students will create a lightweight backend API using AWS Lambda and store form or user input data into DynamoDB. The project builds knowledge of serverless architecture, NoSQL database operations, and REST API creation with secure permissions, enhancing skills in modern cloud-based development.

Advanced

CI/CD Pipeline using AWS CodePipeline & CodeDeploy

Students will implement a CI/CD pipeline that automatically deploys code to an EC2 instance or S3 bucket upon each Git push. This project teaches continuous integration and deployment using CodePipeline, CodeDeploy, and optionally CodeBuild. It reflects real-world DevOps workflows and enhances automation skills.

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Soft Skills

Learners will be closely mentored to develop key soft skills like communication, teamwork, and adaptability, enhancing their career path.

Interview Preparation

Participate in mock interviews and receive detailed feedback sessions with experienced industry experts.

Profile Building

Attend resume workshops and get your LinkedIn profile optimized for better professional visibility.

Placement Assistance

Placement opportunities become available upon clearing the Placement Readiness Test and meeting eligibility criteria.

Exclusive access

Get exclusive access to our dedicated job portal to apply for open positions. Partnering with a select few start-ups and product companies, we offer personalized mentorship and support to help you explore relevant job opportunities and advance your career.

Real World Projects

Projects will be a part of your Basics of Cloud with Containerization Tools to solidify your learning. They ensure you have real-world experience in DevOps.

  • Practice 20+ Essential Tools
  • Designed by Industry Experts
  • Get Real-world Experience

Our Alumni Works At

Learners thought about us

"
It was a great experience with Emerging India Analytics. The course format and content was very good. The faculty, Ms Lakshmi is very knowledgeable. She know the subject very well and the way she conducted the sessions was very much satisfactory. Thank you so much for your services and wish you all the best. God Bless.
Yogesh Ranjan Ghavnalkar

Yogesh Ranjan Ghavnalkar

Learner

"
As a non-IT background student, I am very much satisfied with the live sessions/classes conducted by Emerging India Analytics. Special thanks to the instructor/trainer, the way he is teaching, from the basic fundamentals, that a student having zero knowledge in IT/CS & coding, can easily understand the subjects/topics.
Tushar Kanta Behera

Tushar Kanta Behera

Learner

"
Classes are progressing smoothly, doubts are consistently addressed, fostering a clear understanding. Positive atmosphere, engaged learning, and effective communication contribute to a successful academic experience.
Aadi Bhardwaj

Aadi Bhardwaj

Learner

"
Coming from non-IT background was initially worrisome but I took the bold step into this course. The tutors have been fantastic as well as the personal support team. Looking back at the journey so far, I will say it's worth the all-round commitment and I recommend this program without reservation.
Israel Samuel

Israel Samuel

Learner

Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

1

Submit Application

Tell us a bit about yourself and why you want to join this program

2

Application Review

An admission panel will shortlist candidates based on their application

3

Admission

Selected candidates will be notified within 1week.

Program Fees

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Zero Cost EMI options Available

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Starting from
₹4,999*
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Others Payment Options

We provide the following options for one-time payment.

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Credit / Debit Card

Total Admission Fees
₹42,500*
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FAQs

1. What is the duration of the Cloud certification program?
The program spans approximately 4 months including training, hands-on labs, and project work.
2. What skills will I develop through this program?
You'll learn core cloud concepts, virtualization, Docker, Kubernetes, DevOps practices, and CI/CD workflows.
3. Will I receive practical experience in cloud tools and techniques?
Yes, the program emphasizes hands-on labs and projects with Docker, Kubernetes, and cloud deployment.
4. How will this program help in my career?
It builds job-ready skills for roles in Cloud Engineering, DevOps, and System Administration.
5. Is certification provided upon completion?
Yes, a course completion certificate is awarded after successfully finishing the program.
6. Can I pursue this program alongside my current job or studies?
Yes, it's designed to be flexible and suited for working professionals or students.
7. What support is available if I have questions or need assistance during the course?
You’ll get 24/7 support, mentoring, and access to expert instructors.
8. Are there opportunities for practical projects or internships?
Yes, real-world projects and possible internship support are part of the program.
9. How does this program compare with others in the cloud field?
It’s project-focused, beginner-friendly, and aligned with industry tools like Docker and Kubernetes.
10. What are the future prospects after completing this program?
Graduates can pursue careers as Cloud Engineers, DevOps Engineers, or System Administrators.