Certificate Course in DevOps and Cloud Computing

Immersive Learning Program

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.

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Introduction

Certificate Course in DevOps and Cloud Computing

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.

Certificate Course in DevOps and Cloud Computing

Tools

Python
Linux
RedHat
Ansible
AWS
Docker
Kubernetes
GitLab
selenium
Grafana
shell_scripting
Terraform
Puppet
CI/CD
Jenkins
Maven
Git
GitHub

Program Structure

30-Hours Pre-Learning Module

Before live sessions start, learners receive self-paced tutorials covering Linux basics, the DevOps mindset, Python scripting, and cloud computing fundamentals. These modules ensure a solid foundation and prepare participants for the upcoming instructor-led training.

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.

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. Terraform
Day 36: Introduction, Terraform lifecycle, Infrastructure as a Code(IaC)
  • Terraform fundamentals
  • Infrastructure as code concepts
  • Terraform lifecycle
  • Terraform benefits
  • Terraform vs other IaC tools
Day 37: IaC vs Configuration Management, Basic operations in Terraform, Terraform Code Basics, Terraform init
  • Comparing IaC and configuration management
  • Terraform workflow
  • Basic Terraform commands
  • HCL syntax basics
  • Terraform initialization
  • Providers and resources
Day 38: Plan, Apply, Deploying an end-to-end Architecture on AWS
  • Terraform plan command
  • Terraform apply command
  • State management
  • AWS provider configuration
  • Building AWS infrastructure
  • Multi-tier architecture deployment
  • Infrastructure modules
Module 10. Puppet
Day 39: Need for Configuration management, Configuration Management Tools, Puppet architecture
  • Configuration management principles
  • Configuration management tools comparison
  • Puppet overview
  • Puppet architecture components
  • Puppet Enterprise vs Open Source
Day 40: Setting up Master Slave using Puppet, Manifests & Modules, Applying Configuration using Puppet
  • Puppet master-agent setup
  • Agent certificate management
  • Manifest file structure
  • Puppet modules
  • Resource types and providers
  • Applying configurations
Day 41: Puppet File Server, Deploying Sample Software Online
  • Puppet file server configuration
  • File resource management
  • Software deployment automation
  • Package management with Puppet
  • Service management
  • Puppet modules for application deployment
Module 11. CI/CD Pipelines
Day 42: Introduction to CI/CD Pipeline, Setting up a basic CI/CD Pipeline, Implementing CD Pipelines
  • CI/CD fundamentals
  • Continuous Integration concepts
  • Continuous Delivery vs Continuous Deployment
  • CI/CD pipeline components
  • Pipeline setup basics
  • Pipeline implementation strategies
Day 43: CI CD Pipeline architecture, Pipeline anatomy, Merge request, Popular CI tools, Multibranch Pipelines
  • Pipeline architectures
  • Pipeline stages and steps
  • Merge request workflows
  • CI/CD tools comparison
  • Multibranch pipeline configuration
  • Branch-specific workflows
Module 12. CI using Jenkins and Gitlab
Day 44: Pipeline as a code, Automated Testing Strategies, Introduction to CI
  • Pipeline as code concepts
  • Jenkinsfile structure
  • GitLab CI YAML configuration
  • Testing in CI pipelines
  • Unit, integration, and functional testing
  • Test automation frameworks
Day 45: Jenkins Overview, Installation, Tomcat, Git, and Maven setup
  • Jenkins architecture
  • Jenkins installation
  • Tomcat server configuration
  • Git integration
  • Maven configuration
  • Jenkins plugins
Day 46: Jenkin Integration, Jenkin job configuration, Script and Shell builds
  • Jenkins third-party integrations
  • Job configuration
  • Build triggers
  • Jenkins scripting
  • Shell build steps
  • Pipeline script development
  • Groovy scripting basics
Module 13. Version Control with Git, Github and Gitlab
Day 47: Introduction to Version Control, Introduction to Git & its Installation, Git Lifecycle, Basics of Git: Repositories, Commits, Branches
  • Version control systems overview
  • Centralized vs distributed version control
  • Git installation and setup
  • Git configuration
  • Git lifecycle stages
  • Creating and cloning repositories
  • Making commits
  • Branch management
Day 48: Remote Repositories: Cloning, Pushing, Pulling, Git Workflow and Forking, GitHub Features: Repositories, Issues, Pull Requests, GitLab Features: Repositories, CI/CD, GitLab Runner
  • Working with remote repositories
  • Git clone, push, pull commands
  • Git fetch vs pull
  • Common Git workflows
  • Forking repositories
  • GitHub platform overview
  • Creating and managing GitHub repositories
  • GitHub issues and project boards
  • Pull request workflow
  • GitLab platform features
  • GitLab CI/CD overview
  • GitLab Runner configuration
Day 49: Managing Collaborations: Forking, Pull Requests, Merging, Working with Git Branches: Branching, Merging, Rebasing, Git Workflows: Git Flow, Forking Workflow, Setting up GitHub Actions for CI/CD
  • Collaborative development with Git
  • Fork and pull request model
  • Code review best practices
  • Merging strategies
  • Advanced branching strategies
  • Branch creation and switching
  • Merge vs rebase
  • Handling merge conflicts
  • GitFlow workflow patterns
  • Feature branching workflow
  • Forking workflow
  • GitHub Actions introduction
  • Creating CI/CD workflows
  • Workflow YAML configuration
Day 50: Securing Git Repositories: SSH Keys, Access Control, Advanced Git Concepts: Stashing, Cherry-picking, Reverting and Resetting, Interactive Rebase, Bisecting
  • Git security best practices
  • SSH key generation and setup
  • Repository access control
  • Protected branches
  • Git stash commands
  • Cherry-picking commits
  • Reverting commits
  • Git reset options
  • Interactive rebase
  • Git bisect for debugging
Day 51: Advanced GitLab Features: GitLab Pages, GitLab CI/CD Pipelines and Environments, Managing Secrets and Variables, Auto DevOps
  • GitLab Pages setup
  • Static site hosting
  • GitLab CI/CD pipeline configuration
  • Multi-stage pipeline development
  • Environment configuration
  • Managing environment deployments
  • CI/CD variables and secrets
  • Secret management best practices
  • GitLab Auto DevOps
  • Auto DevOps configuration
Module 14. Build Tools with Maven
Day 52: Overview of Various Build Tools, What is Maven, and It's Architecture, Maven Plugins, Maven Archetypes
  • Build tools comparison
  • Maven, Gradle, Ant overview
  • Maven architecture
  • Project Object Model (POM)
  • Maven lifecycle phases
  • Maven plugins system
  • Common Maven plugins
  • Maven archetypes
  • Project templating
Day 53: Integration of Jacoco plugin for Code Coverage, Maven Commands, Overview of Maven Applications
  • JaCoCo code coverage plugin
  • Configuring code coverage reporting
  • Code quality metrics
  • Essential Maven commands
  • Building projects with Maven
  • Dependency management
  • Maven repositories
  • Multi-module Maven projects
  • Maven applications in enterprise
Module 15. Testing with Selenium
Day 54: Continuous testing, Introduction to Selenium, Explaining the code, Running Test Cases on Chromium WebDriver
  • Continuous testing principles
  • Test automation benefits
  • Selenium framework overview
  • Selenium components
  • WebDriver architecture
  • Selenium test structure
  • Setting up Chromium WebDriver
  • Running basic test cases
Day 55: Instantiating objects and variables, Locating GUI Elements, Note on Using findElement(By.cssSelector())
  • Object instantiation in Selenium
  • WebDriver initialization
  • Variable management
  • Element locator strategies
  • Finding elements by ID, name, class
  • XPath selectors
  • CSS selector optimization
  • Best practices for element location
Day 56: Common Commands, Implementing Page Object Model (POM), Instantiating Web Elements
  • Selenium WebDriver commands
  • Form interaction commands
  • Page Object Model pattern
  • Benefits of POM
  • Implementing page classes
  • Web element abstraction
  • Element instantiation
  • Element interaction methods
Day 57: Get Commands, Clicking on an Element, and Navigate commands, Closing and Quitting Browser Windows
  • Retrieving element properties
  • getText() and getAttribute() methods
  • Element interaction commands
  • Click events and variations
  • Navigation commands
  • Browser history navigation
  • Browser session management
  • Difference between close() and quit()
Day 58: Switching Between Frames, Waits, Conditions, Switching, Between Pop-up Windows
  • Working with frames and iframes
  • Frame switching techniques
  • Selenium wait mechanisms
  • Implicit vs explicit waits
  • Fluent wait implementation
  • Wait conditions
  • Handling popup windows
  • Window handles management
Day 59: Using ExpectedConditions, Catching Exceptions, Integrating Selenium with CI tools like Jenkins
  • ExpectedConditions class
  • Common wait conditions
  • Custom wait conditions
  • Exception handling in Selenium
  • Common Selenium exceptions
  • Try-catch patterns
  • CI/CD integration with Selenium
  • Jenkins Selenium configuration
  • Headless testing in CI pipelines
Module 16. Grafana
Day 60: Installation Of Grafana, Database Installation MySQL, Grafana Setup with My SQL, Installation of Prometheus
  • Grafana introduction and features
  • Grafana installation methods
  • MySQL database setup
  • Configuring Grafana with MySQL
  • Data source configuration
  • Prometheus introduction
  • Prometheus installation
  • Prometheus configuration
Day 61: Setting Up Prometheus on the Kubernetes cluster, Alerts in Grafana, Monitoring K8 Cluster with Prometheus, Grafana Plugins
  • Prometheus Kubernetes integration
  • Service discovery configuration
  • Alert management in Grafana
  • Alert rules and notifications
  • Kubernetes monitoring strategies
  • Prometheus metrics scraping
  • Dashboard creation for K8s
  • Grafana plugin ecosystem
  • Installing and configuring plugins
Module 17. Capstone Projects: AWS WEB SERVICE
Day 62: Capstone Projects
  • 01. Build a serverless web application using AWS Lambda and API Gateway
  • 02. Create a static website using AWS S3 and Cloud Front
  • 03. Set up a continuous deployment pipeline using AWS Code Pipeline and Code Deploy
  • 04. Serverless Computing with AWS Lambda and Ansible
  • 05. Develop a chatbot using AWS Lex and Lambda
  • 06. Implement a database using AWS DynamoDB and Lambda
  • 07. Use infrastructure as code to manage your AWS resources and configurations
  • 08. Automated Testing Framework with Selenium and GitLab CI
  • 09. End-to-End Monitoring and Logging with Grafana

Skills You Will Possess

Programming & Automation Scripting
Command-Line & System Administration
Enterprise Linux & Certification Skills
IT Automation & Config Management
Project build automation & dependency management
Cloud Deployment & Service Management
Container Orchestration & Scaling
Real-time monitoring and dashboard visualization
Pipeline Automation & Build Orchestration
Repository hosting and team collaboration
DevOps lifecycle management and CI/CD
Automated web testing framework

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 185 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 Government of India approved & globally recognized certificate by NASSCOM IT- ITes SSC by clearing assessment Exam.

Industry Certificate

Opportunity to earn Highest Industry Certificate of AI - DevOps Engineer (NSQF LEVEL 5) from SSC NASSCOM.

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
  • Opportunity to earn AI - DevOps Engineer (NSQF LEVEL 5) certification from SSC NASSCOM

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 Certificate Course in DevOps and Cloud Computing 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

Simple DynamoDB Integration with Lambda

Students will create a lightweight API using AWS Lambda to collect and store user data in DynamoDB. This project teaches serverless backend development, NoSQL database integration, and API creation with secure, scalable design.

Intermediate

AWS Lex Chatbot using Lambda

Students will build a conversational chatbot using AWS Lex and Lambda functions to interact with users and retrieve data dynamically. This project introduces natural language understanding and serverless function integration for interactive applications.

Advanced

End-to-End Monitoring and Logging with Grafana

Students will implement centralized logging, monitoring, and dashboard visualization for containerized applications using the Grafana stack. This project covers observability best practices for cloud-native environments and real-time performance tracking.

Career Services By emergingindiagroup

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 Certificate Course in DevOps and Cloud Computing 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.

Internet Banking

Credit / Debit Card

Total Admission Fees
₹65,000*
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FAQs

1. What is the duration of the DevOps and Cloud certification program?
The program duration is 8 months, including live training, tools practice, and projects.
2. What skills will I develop through this program?
You'll learn Docker, Kubernetes, Jenkins, Git, AWS, CI/CD, Ansible, and monitoring tools like Prometheus and Grafana.
3. Will I receive practical experience in DevOps and Cloud tools and techniques?
Yes, the program includes hands-on practice with real-time DevOps tools and cloud platforms.
4. How will this program help in my career?
It prepares you for roles like DevOps Engineer, Cloud Practitioner, or Release Manager with in-demand skills.
5. Is certification provided upon completion?
Yes, a recognized course completion certificate is issued after program completion.
6. Can I pursue this program alongside my current job or studies?
Yes, the program is structured flexibly to accommodate professionals and students.
7. What support is available if I have questions or need assistance during the course?
You’ll get expert guidance, doubt-clearing sessions, and 24/7 learning support throughout the course.
8. Are there opportunities for practical projects or internships?
Yes, you’ll work on capstone projects and may get internship assistance for real-world exposure.
9. How does this program compare with others in the DevOps field?
It covers end-to-end DevOps and Cloud tools with strong practical focus and job alignment.
10. What are the future prospects after completing this program?
You can pursue roles like DevOps Engineer, Site Reliability Engineer, or Cloud Consultant.