DevOps Course In Telugu : Master Multi-Cloud with AWS & Azure

Unlock Your DevOps Career. This course is your key to a high-paying job. Learn to build, automate, and scale applications on both Aws and Azure. You’ll finish with a portfolio of projects that get you hired.

Think High Salary Means More Coding? Think Again.

Most students think tech careers require hardcore programming. That’s no longer true. DevOps focuses on automation, cloud, deployment, and simple scripting, making it a great career path for freshers and non-IT graduates.

What Actually IS DevOps ?

DevOps is a modern software engineering philosophy that combines Development (Dev) and IT Operations (Ops). Traditionally, developers wrote code and operations teams deployed it manually—a slow, error-prone process. DevOps solves this by using CI/CD pipelines, Infrastructure as Code (IaC), and containerization to automate the entire software delivery lifecycle.

Why Multi-Cloud ? (AWS vs. Azure)

While AWS holds the highest global market share, Microsoft Azure is heavily dominating the enterprise and corporate sectors. By mastering both cloud platforms in this course, you don’t just learn a tool; you become an architecture expert capable of passing any technical interview, effectively doubling your career opportunities.

Why Learn Multi Cloud DevOps in 2026 ?

The demand for DevOps professionals is growing exponentially because businesses are adopting scalable cloud deployments and AI infrastructures.

Massive Industry Demand

Every app you use (Netflix, Uber, Swiggy) runs on Cloud DevOps. You are the engine keeping the tech world alive.

The "Low-Code" Advantage

We teach you Infrastructure as Code (IaC). You use powerful tools to automate servers instead of writing complex application logic.

Future-Proof against AI

AI needs massive cloud infrastructure and GPU clusters to run. DevOps engineers are the ones building and managing that exact infrastructure.

Unmatched Remote Opportunities

Because cloud infrastructure lives entirely on the internet, DevOps engineers have some of the highest remote work and international freelancing opportunities in the IT sector.

The Arsenal: Enterprise Tools You Will Master

We take you from absolute zero to deploying multi-cloud architectures using the exact tools Fortune 500 companies use.

Linux & Git Fundamentals

The absolute foundation of DevOps. Master command-line operations, file systems, and version control workflows.

AWS & Azure Cloud

Don't just learn one. Master the two biggest cloud giants on the planet. EC2, S3, Azure VMs, IAM, and heavy networking.

Docker & Kubernetes

The container revolution. Learn how to package, deploy, and auto-scale massive microservices applications flawlessly.

Terraform & Ansible

Master "Infrastructure as Code" (IaC). Provision hundreds of cloud servers in seconds with simple automation scripts.

Jenkins CI/CD

Build the pipelines that automate software delivery from the developer's laptop straight to production.

Prometheus & Grafana

Set up elite monitoring and observability systems to catch bugs and server crashes before the users even notice them.

The ROI of Cloud Mastery: DevOps Salaries in India

DevOps professionals are among the highest-paid IT workers in the world. Here is what the market is currently paying:

Fresher Devops Salaries

Job Role

Experience

Average Salary

DevOps Engineer

Fresher

₹5.0 – ₹8.0 LPA

AWS/Azure Cloud Engineer

Fresher

₹6.0 – ₹10.0 LPA

Kubernetes Administrator

Fresher

₹8.0 – ₹14.0 LPA

Site Reliability Engineer (SRE)

Fresher

Project-Based

Experience Devops Salaries

Job Role

Experience

Average Salary

DevOps Engineer

4+ Years Experience

₹18.0 – ₹35.0 LPA

AWS/Azure Cloud Engineer

5+ Years Experience

₹20.0 – ₹30.0 LPA

Kubernetes Administrator

6+ Years Experience

₹30.0 – ₹50.0 LPA

Site Reliability Engineer (SRE)

Experienced Consultant

₹1,00,000+ / Month

The Zero-to-Pro Learning Roadmap

Wondering how to start from scratch? Here is the exact learning path we take you on:

Phase 1 (The OS & Code)

Master Linux commands, shell scripting, and Git/GitHub version control.

Phase 2 (The Cloud)

Deep dive into AWS and Microsoft Azure architecture, networking, and security.

Phase 3 (Containerization)

Master the core rules of visual hierarchy, typography, color theory, and layout composition.

Phase 4 (Automation Pipelines)

Build seamless CI/CD delivery pipelines using Jenkins.

Phase 5 (Infrastructure as Code)

Use Terraform and Ansible to automate server creation without manual clicks.

Phase 6 (Observability & Portfolio)

Set up Prometheus monitoring and deploy your final enterprise projects to GitHub.

The Companies That Want to Hire You

What Makes This Course Different

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings for 2 years

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Your Learning Journey: What to Expect

1. DevOps Fundamentals

What is DevOps
Evolution from Traditional Software Development to DevOps
Why Organizations Use DevOps
Goals and Benefits of DevOps
DevOps Life Cycle
How Cloud Relates to DevOps

2. Cloud Computing Fundamentals

What is Cloud Computing
Evolution from Traditional Computing to Cloud
Types of Cloud (Service & Deployment Models)
Cloud Providers
Market Value of Cloud

3. Linux Administration

Hardware Information Commands
System Information Commands
File & Directory Commands
File Viewing & Editing
File Permissions & Ownership
User & Group Management
Process Management
Service Management (Systemd)
Networking Commands
Package Management
Archive & Compression
Disk & Storage Management
Log Management
Text Processing

4. Git, GitHub & Bitbucket

Introduction to Version Control System (VCS)
Introduction to Git
Git Architecture & Concepts
Basic Git Commands
Branching and Merging
Working with Remote Repositories
Conflict Resolution
Git Tags and Releases
Introduction to GitHub
Introduction to Bitbucket

5. Jenkins & CI/CD

Introduction to Jenkins
Continuous Integration (CI)
Continuous Delivery (CD)
Jenkins Architecture
Installation & Setup
Jenkins Dashboard
Jenkins Jobs
Jenkins Pipeline
Jenkinsfile
Integrating Jenkins with Git
Build Automation
Jenkins Plugins
Jenkins Security
Monitoring & Troubleshooting

6. Docker

Docker Architecture
Containers
Images
Dockerfile
Storage
Networks
Docker Compose
Docker Swarm
Docker Stack
Docker Integration with Jenkins

7. Kubernetes Fundamentals

Introduction to Kubernetes
Kubernetes Architecture
Kubernetes Objects
Kubectl Commands
YAML
Pods
Labels & Selectors
Services
ReplicaSets
Deployments
HPA
StatefulSets
DaemonSets

8. Advanced Kubernetes

ConfigMaps
Secrets
Storage (PV & PVC)
Namespaces
Ingress
RBAC
Resource Quotas
Helm
GitOps (ArgoCD)
Network Policies
Affinity
Node Selector
Taints & Tolerations
Deployment Strategies
Probes
Jobs & CronJobs
Observability Stack
Backup & Disaster Recovery
Cluster Upgrades
Troubleshooting

9. Terraform

Infrastructure as Code
Terraform Architecture
Providers & Resources
Variables
Outputs
State Files
Remote State
Lifecycle
Modules
Workspaces
Data Sources
Provisioners
Dependency Management

10. Advanced Terraform

Terraform with AWS
Terraform + Jenkins
State Management
Security
Drift Detection
Import Existing Infrastructure

11. Amazon Web Services (AWS)

EC2
VPC
S3
EBS
IAM
RDS
ELB
ASG
ECR
ECS
EKS
SNS
CloudWatch
Route 53

12. Microsoft Azure Services

Azure Active Directory
Virtual Machines
VM Scale Set
Azure Load Balancers
Azure Container Registry
Azure Container Instance
Azure Kubernetes Service
Azure Pipelines
Azure SQL Database
Azure Blob Storage
Azure Disks
Azure Artifacts
Azure Key Vault

13. DevSecOps & Security Tools

SonarQube
OWASP
Trivy
Istio
HCP
TFSEC

14. MCP with DevOps

Jenkins with MCP
Docker with MCP
Kubernetes with MCP
Terraform with MCP

15. Self-Paced Learning

Jenkins with MCP
Docker with MCP
Kubernetes with MCP
Terraform with MCP

16. DevOps Best Practices & Real-World Implementation

CI/CD Workflow
Containerization
Orchestration
Infrastructure Automation
Cloud Deployment
Monitoring
Security
End-to-End DevOps Practices

Real - Time DevOps Projects Built on AWS & Azure Multi-Cloud

We don’t just teach theory. You will build a production-grade GitHub portfolio to prove your skills to recruiters.

1. Automation Deployment Using Jenkins Free Style and Pipeline Jobs

Automate code build, testing, artifact management, code quality analysis, and deployment using Jenkins CI/CD pipelines.

Tools Used : Git • GitHub • Jenkins • Maven • Nexus • SonarQube • Tomcat

2. Microservices Project

Build, scan, containerize, and deploy a microservices application using Docker with automated Jenkins pipelines.

Tools Used : Git • GitHub • Jenkins • Docker • SonarQube • Trivy • OWASP

3. Tier Application Using Docker Compose

Deploy a Java-based three-tier application with Docker Compose and automate deployments using Jenkins.

Tools Used : Git • Maven • Jenkins • Docker • Docker Compose • Tomcat • Datadog

4. Deploy 3 Tier Application Using AWS Cloud With High Availability

Deploy a Node.js application on AWS with high availability using VPC, Load Balancer, Auto Scaling, and Database.

Tools Used : AWS EC2 • VPC • Database • Load Balancer • Auto Scaling Groups

5. Deploy Blood Bank Application Using Kubernetes Kops Cluster

Deploy a three-tier Blood Bank application on Kubernetes KOPS with monitoring and high availability.

Tools Used : EC2 • IAM • S3 • AWS CLI • KOPS • Kubectl • Prometheus • Grafana

6. Deploy Online Library Application Using Kubernetes Kops Cluster

Deploy an Online Library application on Kubernetes KOPS with monitoring, scalability, and high availability.

Tools Used : EC2 • IAM • S3 • AWS CLI • KOPS • Kubectl • Prometheus • Grafana

7. Deploy an E-Commerce Application on EKS Cluster

Deploy an E-Commerce application on Amazon EKS with Jenkins automation and Kubernetes orchestration.

Tools Used : EC2 • IAM • S3 • AWS CLI • Amazon EKS • Kubectl • Prometheus • Grafana • Jenkins

8. Deploy a Python Based Application Using Argo CD

Deploy a Python application using GitOps with Argo CD on Kubernetes for automated and reliable delivery.

Tools Used : EC2 • IAM • AWS CLI • KOPS • Kubectl • Helm • Argo CD

9. Deploy a Full Stack Application From Local to Prod

Deploy a full-stack React and MongoDB application from local development to production using DevOps tools.

Tools Used : Docker • Kubernetes • Terraform • Argo CD • Jenkins • Slack • MongoDB • Amazon EKS

10. Deploy a Node Application Using Azure Cloud

Automate the deployment of a Node.js application on Azure Kubernetes Service using Azure DevOps pipelines.

Tools Used : Azure VM • VMSS • Azure CLI • AKS • Azure Pipelines • Docker • ACR

Watch the Demo of Our DevOps with Multi Cloud( AWS+AZURE ) Course in Telugu to Get a Preview of the Topics Covered.

From Their Desks to Your Screen

devOps course which gave me skills, confidence, and internships through practical learning

Surender

Excellent teaching with real-time projects and clear practical topics.

Ajay

Best teaching ever! Practice more to gain deeper real knowledge.

Eswar

I had a great experience with FLM, completed my course successfully with excellent trainer support and job guidance.

Purnachandar Rao

Hear from Our Students

Multi Cloud DevOps Mastery Session in Telugu

Actual Price

Rs. 79,999/-

Special Price

Rs. 15,999/-

Save

Rs. 64,000/-

Beyond Courses - We Build Careers.

Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.

Career Acceleration Ecosystem

Everything you need beyond coding to become job-ready.

Resume Building

Session 01

LinkedIn Optimization

Session 02

Freelancing

Session 03

Career Switch Guidance

Session 04

Job Search Strategy

Session 05

Financial Awareness

Session 06

MAANG Preparation

Session 07

Agile & Scrum Workflow

Session 08

Git & GitHub

Session 09

HR + Salary Negotiation

Session 10

Communication Bootcamp

Session 11

Career Advancement Results

At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.

Happy Students

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Frequently Asked Questions

Q: Do I need prior coding experience or a Computer Science degree to join this course?

A: No! DevOps is largely a “Low-Code” IT field. Instead of writing heavy application code (like Java or C++), you will write simple scripts (YAML, Bash) to automate infrastructure. Whether you are a fresher or a non-IT student (B.Com/B.Sc), as long as you have dedication, we will teach you from absolute zero.

Q: I am currently a Manual Tester. Is DevOps a good career switch for me?

A: Yes, it is one of the best upgrades you can make. Moving from manual testing to DevOps and Cloud Automation will instantly multiply your market value and salary potential. You already understand the software lifecycle; now we teach you to automate its deployment.

Q: Are the live training classes conducted in Telugu?

A: Yes! All live sessions, cloud deployments, and doubt-clearing classes are taught in Telugu. We break down complex Kubernetes architectures and AWS networking concepts in your regional language to ensure absolute conceptual clarity.

Q: Why Multi-Cloud? Isn't learning just AWS enough?

A: While AWS is the market leader, massive enterprises heavily rely on Microsoft Azure. By mastering both AWS and Azure in this course, you bypass the competition and double the number of job roles you can apply for.

Q: Will AI tools replace DevOps Engineers?

A: Absolutely not. AI requires massive, secure, and highly scalable cloud infrastructure to function. DevOps engineers are the ones who build and manage the Kubernetes clusters and cloud servers that AI models run on. DevOps is entirely future-proof.

Q: Will I actually deploy real servers, or is this just theory?

A: This course is 100% practical. You will create your own AWS and Azure accounts and deploy real-time enterprise projects—including E-Commerce CI/CD pipelines and Dockerized applications—building a powerful GitHub portfolio to show recruiters.

Q: What is the starting salary for a DevOps Engineer in India?

A: Because DevOps engineers control the production infrastructure of a company, they command premium salaries. Freshers can expect starting salaries between ₹4 LPA and ₹7 LPA. With a few years of experience and Kubernetes mastery, salaries rapidly scale to ₹15 LPA to ₹30 LPA+.

Q: Can DevOps Engineers work remotely or as freelancers?

A: Yes. Cloud infrastructure exists entirely on the internet. You can easily take on highly lucrative freelance projects—such as migrating a startup’s servers to AWS or setting up a Jenkins pipeline—for international clients right from your laptop.

Q: Do you provide placement assistance?

A: Yes. We provide comprehensive placement support. This includes aggressive GitHub portfolio reviews, building an ATS-friendly DevOps Engineer resume, conducting live technical mock interviews, and providing direct job updates.

Q: Will I receive a certificate after completing the Multi Cloud DevOps course?

A: Yes. Upon successfully completing the training and deploying your real-time cloud projects, you will receive an industry-recognized certificate from Frontlines EduTech to boost your LinkedIn profile and resume credibility.

Get Certified

Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.

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